how to analyse large datasets dask tutorial.ipynb

{"cells":[{"source":"<a href=\"https://www.kaggle.com/code/faressayah/how-to-analyse-large-datasets-dask-tutorial?scriptVersionId=119299089\" target=\"_blank\"><img align=\"left\" alt=\"Kaggle\" title=\"Open in Kaggle\" src=\"https://kaggle.com/static/images/open-in-kaggle.svg\"></a>","metadata":{},"cell_type":"markdown","outputs":[],"execution_count":0},{"cell_type":"markdown","id":"87aad8eb","metadata":{"papermill":{"duration":0.018109,"end_time":"2023-02-15T22:46:39.713047","exception":false,"start_time":"2023-02-15T22:46:39.694938","status":"completed"},"tags":[]},"source":["# Dask Delayed\n","\n","These functions do simple operations like add two numbers together, but they sleep for a random amount of time to simulate real work."]},{"cell_type":"code","execution_count":1,"id":"8eea5402","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:46:39.747795Z","iopub.status.busy":"2023-02-15T22:46:39.746966Z","iopub.status.idle":"2023-02-15T22:46:42.566163Z","shell.execute_reply":"2023-02-15T22:46:42.564663Z"},"papermill":{"duration":2.840279,"end_time":"2023-02-15T22:46:42.569591","exception":false,"start_time":"2023-02-15T22:46:39.729312","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n","    <div style=\"margin-left: 48px;\">\n","        <h3 style=\"margin-bottom: 0px;\">Client</h3>\n","        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-9c878668-ad82-11ed-8015-0242ac130202</p>\n","        <table style=\"width: 100%; text-align: left;\">\n","\n","        <tr>\n","        \n","            <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n","            <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n","        \n","        </tr>\n","\n","        \n","            <tr>\n","                <td style=\"text-align: left;\">\n","                    <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n","                </td>\n","                <td style=\"text-align: left;\"></td>\n","            </tr>\n","        \n","\n","        </table>\n","\n","        \n","            <details>\n","            <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n","            <div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-mod-trusted jp-OutputArea-output\">\n","    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\">\n","    </div>\n","    <div style=\"margin-left: 48px;\">\n","        <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n","        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">974337c4</p>\n","        <table style=\"width: 100%; text-align: left;\">\n","            <tr>\n","                <td style=\"text-align: left;\">\n","                    <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n","                </td>\n","                <td style=\"text-align: left;\">\n","                    <strong>Workers:</strong> 4\n","                </td>\n","            </tr>\n","            <tr>\n","                <td style=\"text-align: left;\">\n","                    <strong>Total threads:</strong> 4\n","                </td>\n","                <td style=\"text-align: left;\">\n","                    <strong>Total memory:</strong> 31.36 GiB\n","                </td>\n","            </tr>\n","            \n","            <tr>\n","    <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n","    <td style=\"text-align: left;\"><strong>Using processes:</strong> True</td>\n","</tr>\n","\n","            \n","        </table>\n","\n","        <details>\n","            <summary style=\"margin-bottom: 20px;\">\n","                <h3 style=\"display: inline;\">Scheduler Info</h3>\n","            </summary>\n","\n","            <div style=\"\">\n","    <div>\n","        <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n","        <div style=\"margin-left: 48px;\">\n","            <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n","            <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-c81f3a48-36d5-4162-b2c8-1ca692726741</p>\n","            <table style=\"width: 100%; text-align: left;\">\n","                <tr>\n","                    <td style=\"text-align: left;\">\n","                        <strong>Comm:</strong> tcp://127.0.0.1:46125\n","                    </td>\n","                    <td style=\"text-align: left;\">\n","                        <strong>Workers:</strong> 4\n","                    </td>\n","                </tr>\n","                <tr>\n","                    <td style=\"text-align: left;\">\n","                        <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n","                    </td>\n","                    <td style=\"text-align: left;\">\n","                        <strong>Total threads:</strong> 4\n","                    </td>\n","                </tr>\n","                <tr>\n","                    <td style=\"text-align: left;\">\n","                        <strong>Started:</strong> Just now\n","                    </td>\n","                    <td style=\"text-align: left;\">\n","                        <strong>Total memory:</strong> 31.36 GiB\n","                    </td>\n","                </tr>\n","            </table>\n","        </div>\n","    </div>\n","\n","    <details style=\"margin-left: 48px;\">\n","        <summary style=\"margin-bottom: 20px;\">\n","            <h3 style=\"display: inline;\">Workers</h3>\n","        </summary>\n","\n","        \n","        <div style=\"margin-bottom: 20px;\">\n","            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n","            <div style=\"margin-left: 48px;\">\n","            <details>\n","                <summary>\n","                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n","                </summary>\n","                <table style=\"width: 100%; text-align: left;\">\n","                    <tr>\n","                        <td style=\"text-align: left;\">\n","                            <strong>Comm: </strong> tcp://127.0.0.1:35531\n","                        </td>\n","                        <td style=\"text-align: left;\">\n","                            <strong>Total threads: </strong> 1\n","                        </td>\n","                    </tr>\n","                    <tr>\n","                        <td style=\"text-align: left;\">\n","                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:35017/status\" target=\"_blank\">http://127.0.0.1:35017/status</a>\n","                        </td>\n","                        <td style=\"text-align: left;\">\n","                            <strong>Memory: </strong> 7.84 GiB\n","                        </td>\n","                    </tr>\n","                    <tr>\n","                        <td style=\"text-align: left;\">\n","                            <strong>Nanny: </strong> tcp://127.0.0.1:44481\n","                        </td>\n","                        <td style=\"text-align: left;\"></td>\n","                    </tr>\n","                    <tr>\n","                        <td colspan=\"2\" style=\"text-align: left;\">\n","                            <strong>Local directory: </strong> /kaggle/working/dask-worker-space/worker-i55nzz_i\n","                        </td>\n","                    </tr>\n","\n","                    \n","\n","                    \n","\n","                </table>\n","            </details>\n","            </div>\n","        </div>\n","        \n","        <div style=\"margin-bottom: 20px;\">\n","            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n","            <div style=\"margin-left: 48px;\">\n","            <details>\n","                <summary>\n","                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n","                </summary>\n","                <table style=\"width: 100%; text-align: left;\">\n","                    <tr>\n","                        <td style=\"text-align: left;\">\n","                            <strong>Comm: </strong> tcp://127.0.0.1:43473\n","                        </td>\n","                        <td style=\"text-align: left;\">\n","                            <strong>Total threads: </strong> 1\n","                        </td>\n","                    </tr>\n","                    <tr>\n","                        <td style=\"text-align: left;\">\n","                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:38917/status\" target=\"_blank\">http://127.0.0.1:38917/status</a>\n","                        </td>\n","                        <td style=\"text-align: left;\">\n","                            <strong>Memory: </strong> 7.84 GiB\n","                        </td>\n","                    </tr>\n","                    <tr>\n","                        <td style=\"text-align: left;\">\n","                            <strong>Nanny: </strong> tcp://127.0.0.1:34091\n","                        </td>\n","                        <td style=\"text-align: left;\"></td>\n","                    </tr>\n","                    <tr>\n","                        <td colspan=\"2\" style=\"text-align: left;\">\n","                            <strong>Local directory: </strong> /kaggle/working/dask-worker-space/worker-jo4drarv\n","                        </td>\n","                    </tr>\n","\n","                    \n","\n","                    \n","\n","                </table>\n","            </details>\n","            </div>\n","        </div>\n","        \n","        <div style=\"margin-bottom: 20px;\">\n","            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n","            <div style=\"margin-left: 48px;\">\n","            <details>\n","                <summary>\n","                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n","                </summary>\n","                <table style=\"width: 100%; text-align: left;\">\n","                    <tr>\n","                        <td style=\"text-align: left;\">\n","                            <strong>Comm: </strong> tcp://127.0.0.1:41799\n","                        </td>\n","                        <td style=\"text-align: left;\">\n","                            <strong>Total threads: </strong> 1\n","                        </td>\n","                    </tr>\n","                    <tr>\n","                        <td style=\"text-align: left;\">\n","                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:39751/status\" target=\"_blank\">http://127.0.0.1:39751/status</a>\n","                        </td>\n","                        <td style=\"text-align: left;\">\n","                            <strong>Memory: </strong> 7.84 GiB\n","                        </td>\n","                    </tr>\n","                    <tr>\n","                        <td style=\"text-align: left;\">\n","                            <strong>Nanny: </strong> tcp://127.0.0.1:44519\n","                        </td>\n","                        <td style=\"text-align: left;\"></td>\n","                    </tr>\n","                    <tr>\n","                        <td colspan=\"2\" style=\"text-align: left;\">\n","                            <strong>Local directory: </strong> /kaggle/working/dask-worker-space/worker-7t4coyye\n","                        </td>\n","                    </tr>\n","\n","                    \n","\n","                    \n","\n","                </table>\n","            </details>\n","            </div>\n","        </div>\n","        \n","        <div style=\"margin-bottom: 20px;\">\n","            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n","            <div style=\"margin-left: 48px;\">\n","            <details>\n","                <summary>\n","                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n","                </summary>\n","                <table style=\"width: 100%; text-align: left;\">\n","                    <tr>\n","                        <td style=\"text-align: left;\">\n","                            <strong>Comm: </strong> tcp://127.0.0.1:34079\n","                        </td>\n","                        <td style=\"text-align: left;\">\n","                            <strong>Total threads: </strong> 1\n","                        </td>\n","                    </tr>\n","                    <tr>\n","                        <td style=\"text-align: left;\">\n","                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:36591/status\" target=\"_blank\">http://127.0.0.1:36591/status</a>\n","                        </td>\n","                        <td style=\"text-align: left;\">\n","                            <strong>Memory: </strong> 7.84 GiB\n","                        </td>\n","                    </tr>\n","                    <tr>\n","                        <td style=\"text-align: left;\">\n","                            <strong>Nanny: </strong> tcp://127.0.0.1:36281\n","                        </td>\n","                        <td style=\"text-align: left;\"></td>\n","                    </tr>\n","                    <tr>\n","                        <td colspan=\"2\" style=\"text-align: left;\">\n","                            <strong>Local directory: </strong> /kaggle/working/dask-worker-space/worker-6up24yv1\n","                        </td>\n","                    </tr>\n","\n","                    \n","\n","                    \n","\n","                </table>\n","            </details>\n","            </div>\n","        </div>\n","        \n","\n","    </details>\n","</div>\n","\n","        </details>\n","    </div>\n","</div>\n","            </details>\n","        \n","\n","    </div>\n","</div>"],"text/plain":["<Client: 'tcp://127.0.0.1:46125' processes=4 threads=4, memory=31.36 GiB>"]},"execution_count":1,"metadata":{},"output_type":"execute_result"}],"source":["from dask.distributed import Client, progress\n","\n","c = Client()\n","c"]},{"cell_type":"code","execution_count":2,"id":"5921cd92","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:46:42.60999Z","iopub.status.busy":"2023-02-15T22:46:42.609589Z","iopub.status.idle":"2023-02-15T22:46:42.619829Z","shell.execute_reply":"2023-02-15T22:46:42.618925Z"},"papermill":{"duration":0.032435,"end_time":"2023-02-15T22:46:42.621875","exception":false,"start_time":"2023-02-15T22:46:42.58944","status":"completed"},"tags":[]},"outputs":[],"source":["import time\n","import random\n","import dask\n","\n","\n","@dask.delayed\n","def inc(x):\n","    time.sleep(random.random())\n","    return x + 1\n","\n","@dask.delayed\n","def dec(x):\n","    time.sleep(random.random())\n","    return x - 1\n","\n","def add(x, y):\n","    time.sleep(random.random())\n","    return x + y"]},{"cell_type":"code","execution_count":3,"id":"5f58f6ee","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:46:42.659Z","iopub.status.busy":"2023-02-15T22:46:42.657792Z","iopub.status.idle":"2023-02-15T22:46:43.090141Z","shell.execute_reply":"2023-02-15T22:46:43.089269Z"},"papermill":{"duration":0.452515,"end_time":"2023-02-15T22:46:43.092207","exception":false,"start_time":"2023-02-15T22:46:42.639692","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["CPU times: user 32.5 ms, sys: 2.18 ms, total: 34.7 ms\n","Wall time: 422 ms\n"]},{"data":{"text/plain":["Delayed('add-12cdf2b0df197ef99b29a77a71d2b459')"]},"execution_count":3,"metadata":{},"output_type":"execute_result"}],"source":["%%time\n","x = inc(1)\n","y = dec(2)\n","z = add(x, y)\n","z"]},{"cell_type":"code","execution_count":4,"id":"7372ecd7","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:46:43.129766Z","iopub.status.busy":"2023-02-15T22:46:43.129098Z","iopub.status.idle":"2023-02-15T22:46:44.084398Z","shell.execute_reply":"2023-02-15T22:46:44.083071Z"},"papermill":{"duration":0.97712,"end_time":"2023-02-15T22:46:44.087146","exception":false,"start_time":"2023-02-15T22:46:43.110026","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["CPU times: user 161 ms, sys: 54.2 ms, total: 215 ms\n","Wall time: 943 ms\n"]},{"data":{"text/plain":["3"]},"execution_count":4,"metadata":{},"output_type":"execute_result"}],"source":["%%time\n","z.compute()"]},{"cell_type":"code","execution_count":5,"id":"81be0181","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:46:44.123096Z","iopub.status.busy":"2023-02-15T22:46:44.122684Z","iopub.status.idle":"2023-02-15T22:46:44.349245Z","shell.execute_reply":"2023-02-15T22:46:44.34823Z"},"papermill":{"duration":0.247857,"end_time":"2023-02-15T22:46:44.352026","exception":false,"start_time":"2023-02-15T22:46:44.104169","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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\n","text/plain":["<IPython.core.display.Image object>"]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["z.visualize()"]},{"cell_type":"code","execution_count":6,"id":"45d920b8","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:46:44.397519Z","iopub.status.busy":"2023-02-15T22:46:44.396889Z","iopub.status.idle":"2023-02-15T22:46:44.406577Z","shell.execute_reply":"2023-02-15T22:46:44.405015Z"},"papermill":{"duration":0.035271,"end_time":"2023-02-15T22:46:44.408917","exception":false,"start_time":"2023-02-15T22:46:44.373646","status":"completed"},"tags":[]},"outputs":[],"source":["def inc(x):\n","    time.sleep(1)\n","    return x + 1\n","\n","def dec(x):\n","    time.sleep(1)\n","    return x - 1\n","\n","def add(x, y):\n","    time.sleep(1)\n","    return x + y\n","\n","data = [1, 2, 3, 4, 5, 6, 7, 8]"]},{"cell_type":"code","execution_count":7,"id":"f1efae23","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:46:44.44773Z","iopub.status.busy":"2023-02-15T22:46:44.447025Z","iopub.status.idle":"2023-02-15T22:46:52.4614Z","shell.execute_reply":"2023-02-15T22:46:52.46009Z"},"papermill":{"duration":8.036412,"end_time":"2023-02-15T22:46:52.463999","exception":false,"start_time":"2023-02-15T22:46:44.427587","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["CPU times: user 633 ms, sys: 103 ms, total: 736 ms\n","Wall time: 8.01 s\n"]}],"source":["%%time\n","\n","results = []\n","\n","for x in data:\n","    y = inc(x)\n","    results.append(y)\n","    \n","total = sum(results)"]},{"cell_type":"code","execution_count":8,"id":"42f85523","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:46:52.504963Z","iopub.status.busy":"2023-02-15T22:46:52.504144Z","iopub.status.idle":"2023-02-15T22:46:52.513823Z","shell.execute_reply":"2023-02-15T22:46:52.512632Z"},"papermill":{"duration":0.032007,"end_time":"2023-02-15T22:46:52.51644","exception":false,"start_time":"2023-02-15T22:46:52.484433","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["44"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["total"]},{"cell_type":"markdown","id":"72475a84","metadata":{"papermill":{"duration":0.017586,"end_time":"2023-02-15T22:46:52.553213","exception":false,"start_time":"2023-02-15T22:46:52.535627","status":"completed"},"tags":[]},"source":["# Dask natively scales Python\n","\n","Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love"]},{"cell_type":"code","execution_count":9,"id":"91e2644b","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:46:52.591348Z","iopub.status.busy":"2023-02-15T22:46:52.590398Z","iopub.status.idle":"2023-02-15T22:46:53.179769Z","shell.execute_reply":"2023-02-15T22:46:53.178653Z"},"papermill":{"duration":0.611061,"end_time":"2023-02-15T22:46:53.182466","exception":false,"start_time":"2023-02-15T22:46:52.571405","status":"completed"},"tags":[]},"outputs":[],"source":["import os\n","import time\n","\n","\n","import dask\n","import dask.array as da\n","import dask.dataframe as dd\n","import numpy as np"]},{"cell_type":"code","execution_count":10,"id":"e603f612","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:46:53.220342Z","iopub.status.busy":"2023-02-15T22:46:53.219689Z","iopub.status.idle":"2023-02-15T22:46:53.226231Z","shell.execute_reply":"2023-02-15T22:46:53.224406Z"},"papermill":{"duration":0.028019,"end_time":"2023-02-15T22:46:53.22841","exception":false,"start_time":"2023-02-15T22:46:53.200391","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["2022.02.0\n","1.21.6\n"]}],"source":["print(dask.__version__)\n","print(np.__version__)"]},{"cell_type":"code","execution_count":11,"id":"b0de100a","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:46:53.268184Z","iopub.status.busy":"2023-02-15T22:46:53.266802Z","iopub.status.idle":"2023-02-15T22:46:53.28195Z","shell.execute_reply":"2023-02-15T22:46:53.280068Z"},"papermill":{"duration":0.037713,"end_time":"2023-02-15T22:46:53.284696","exception":false,"start_time":"2023-02-15T22:46:53.246983","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["/kaggle/input/stanford-open-policing-project-texas/TX_2010_onwards.csv\n","/kaggle/input/stanford-open-policing-project-texas/DATA-README.md\n"]}],"source":["for dirname, _, filenames in os.walk('/kaggle/input'):\n","    for filename in filenames:\n","        print(os.path.join(dirname, filename))"]},{"cell_type":"markdown","id":"779819b2","metadata":{"papermill":{"duration":0.017802,"end_time":"2023-02-15T22:46:53.320604","exception":false,"start_time":"2023-02-15T22:46:53.302802","status":"completed"},"tags":[]},"source":["# Reading Dask DataFrame\n","\n","Read CSV files into a Dask.DataFrame: This parallelizes the `pandas.read_csv()`:\n","- `blocksize=25e7`: 250MB chunks\n","- `dtype`: Dask don't explore all the data, sometime it mismatch the dtypes"]},{"cell_type":"code","execution_count":12,"id":"eeee101c","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:46:53.358874Z","iopub.status.busy":"2023-02-15T22:46:53.358047Z","iopub.status.idle":"2023-02-15T22:46:53.466261Z","shell.execute_reply":"2023-02-15T22:46:53.464368Z"},"papermill":{"duration":0.130296,"end_time":"2023-02-15T22:46:53.468988","exception":false,"start_time":"2023-02-15T22:46:53.338692","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div><strong>Dask DataFrame Structure:</strong></div>\n","<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>id</th>\n","      <th>state</th>\n","      <th>stop_date</th>\n","      <th>stop_time</th>\n","      <th>location_raw</th>\n","      <th>county_name</th>\n","      <th>county_fips</th>\n","      <th>fine_grained_location</th>\n","      <th>police_department</th>\n","      <th>driver_gender</th>\n","      <th>driver_age_raw</th>\n","      <th>driver_age</th>\n","      <th>driver_race_raw</th>\n","      <th>driver_race</th>\n","      <th>violation_raw</th>\n","      <th>violation</th>\n","      <th>search_conducted</th>\n","      <th>search_type_raw</th>\n","      <th>search_type</th>\n","      <th>contraband_found</th>\n","      <th>stop_outcome</th>\n","      <th>is_arrested</th>\n","      <th>lat</th>\n","      <th>lon</th>\n","      <th>officer_id</th>\n","      <th>driver_race_original</th>\n","    </tr>\n","    <tr>\n","      <th>npartitions=42</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th></th>\n","      <td>object</td>\n","      <td>object</td>\n","      <td>object</td>\n","      <td>object</td>\n","      <td>object</td>\n","      <td>object</td>\n","      <td>float64</td>\n","      <td>float64</td>\n","      <td>float64</td>\n","      <td>object</td>\n","      <td>float64</td>\n","      <td>float64</td>\n","      <td>object</td>\n","      <td>object</td>\n","      <td>object</td>\n","      <td>object</td>\n","      <td>bool</td>\n","      <td>object</td>\n","      <td>object</td>\n","      <td>bool</td>\n","      <td>object</td>\n","      <td>float64</td>\n","      <td>float64</td>\n","      <td>float64</td>\n","      <td>object</td>\n","      <td>object</td>\n","    </tr>\n","    <tr>\n","      <th></th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th></th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th></th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","<div>Dask Name: read-csv, 42 tasks</div>"],"text/plain":["Dask DataFrame Structure:\n","                    id   state stop_date stop_time location_raw county_name county_fips fine_grained_location police_department driver_gender driver_age_raw driver_age driver_race_raw driver_race violation_raw violation search_conducted search_type_raw search_type contraband_found stop_outcome is_arrested      lat      lon officer_id driver_race_original\n","npartitions=42                                                                                                                                                                                                                                                                                                                                                      \n","                object  object    object    object       object      object     float64               float64           float64        object        float64    float64          object      object        object    object             bool          object      object             bool       object     float64  float64  float64     object               object\n","                   ...     ...       ...       ...          ...         ...         ...                   ...               ...           ...            ...        ...             ...         ...           ...       ...              ...             ...         ...              ...          ...         ...      ...      ...        ...                  ...\n","...                ...     ...       ...       ...          ...         ...         ...                   ...               ...           ...            ...        ...             ...         ...           ...       ...              ...             ...         ...              ...          ...         ...      ...      ...        ...                  ...\n","                   ...     ...       ...       ...          ...         ...         ...                   ...               ...           ...            ...        ...             ...         ...           ...       ...              ...             ...         ...              ...          ...         ...      ...      ...        ...                  ...\n","                   ...     ...       ...       ...          ...         ...         ...                   ...               ...           ...            ...        ...             ...         ...           ...       ...              ...             ...         ...              ...          ...         ...      ...      ...        ...                  ...\n","Dask Name: read-csv, 42 tasks"]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["dtype = {\n","    'fine_grained_location': 'float64', \n","    'officer_id':'object', \n","    'county_fips': 'float64',\n","    'search_type': 'object',\n","    'search_type_raw': 'object'\n","}\n","\n","ddf = dd.read_csv(\n","    \"/kaggle/input/stanford-open-policing-project-texas/TX_2010_onwards.csv\", \n","#     blocksize=\"25MB\", \n","    dtype=dtype, \n","    low_memory=False,\n","    assume_missing=True\n",")\n","\n","# ddf = ddf.map_partitions(cudf.from_pandas)  # convert pandas partitions into cudf partitions\n","\n","ddf"]},{"cell_type":"code","execution_count":13,"id":"925b0eb6","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:46:53.513374Z","iopub.status.busy":"2023-02-15T22:46:53.512961Z","iopub.status.idle":"2023-02-15T22:46:56.694207Z","shell.execute_reply":"2023-02-15T22:46:56.692895Z"},"papermill":{"duration":3.206705,"end_time":"2023-02-15T22:46:56.697753","exception":false,"start_time":"2023-02-15T22:46:53.491048","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["CPU times: user 282 ms, sys: 62.3 ms, total: 344 ms\n","Wall time: 3.14 s\n"]},{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>id</th>\n","      <th>state</th>\n","      <th>stop_date</th>\n","      <th>stop_time</th>\n","      <th>location_raw</th>\n","      <th>county_name</th>\n","      <th>county_fips</th>\n","      <th>fine_grained_location</th>\n","      <th>police_department</th>\n","      <th>driver_gender</th>\n","      <th>...</th>\n","      <th>search_conducted</th>\n","      <th>search_type_raw</th>\n","      <th>search_type</th>\n","      <th>contraband_found</th>\n","      <th>stop_outcome</th>\n","      <th>is_arrested</th>\n","      <th>lat</th>\n","      <th>lon</th>\n","      <th>officer_id</th>\n","      <th>driver_race_original</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>TX-2010-0000002</td>\n","      <td>TX</td>\n","      <td>2010-01-01</td>\n","      <td>00:00</td>\n","      <td>Guadalupe</td>\n","      <td>Guadalupe County</td>\n","      <td>48187.0</td>\n","      <td>622.0</td>\n","      <td>NaN</td>\n","      <td>F</td>\n","      <td>...</td>\n","      <td>False</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>False</td>\n","      <td>Warning</td>\n","      <td>NaN</td>\n","      <td>29.622867</td>\n","      <td>-97.778663</td>\n","      <td>11524</td>\n","      <td>Asian</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>TX-2010-0000003</td>\n","      <td>TX</td>\n","      <td>2010-01-01</td>\n","      <td>00:00</td>\n","      <td>Fannin</td>\n","      <td>Fannin County</td>\n","      <td>48147.0</td>\n","      <td>668.0</td>\n","      <td>NaN</td>\n","      <td>F</td>\n","      <td>...</td>\n","      <td>False</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>False</td>\n","      <td>Warning</td>\n","      <td>NaN</td>\n","      <td>33.603183</td>\n","      <td>-96.150215</td>\n","      <td>12274</td>\n","      <td>White</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>TX-2010-0000004</td>\n","      <td>TX</td>\n","      <td>2010-01-01</td>\n","      <td>00:00</td>\n","      <td>Coryell</td>\n","      <td>Coryell County</td>\n","      <td>48099.0</td>\n","      <td>560.0</td>\n","      <td>NaN</td>\n","      <td>M</td>\n","      <td>...</td>\n","      <td>False</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>False</td>\n","      <td>Citation</td>\n","      <td>NaN</td>\n","      <td>31.121599</td>\n","      <td>-97.835418</td>\n","      <td>12365</td>\n","      <td>Black</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>TX-2010-0000005</td>\n","      <td>TX</td>\n","      <td>2010-01-01</td>\n","      <td>00:00</td>\n","      <td>Dallas</td>\n","      <td>Dallas County</td>\n","      <td>48113.0</td>\n","      <td>464.0</td>\n","      <td>NaN</td>\n","      <td>M</td>\n","      <td>...</td>\n","      <td>False</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>False</td>\n","      <td>Citation</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>10795</td>\n","      <td>Black</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>TX-2010-0000006</td>\n","      <td>TX</td>\n","      <td>2010-01-01</td>\n","      <td>00:00</td>\n","      <td>Denton</td>\n","      <td>Denton County</td>\n","      <td>48121.0</td>\n","      <td>0.0</td>\n","      <td>NaN</td>\n","      <td>M</td>\n","      <td>...</td>\n","      <td>False</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>False</td>\n","      <td>Citation</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>12571</td>\n","      <td>White</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 26 columns</p>\n","</div>"],"text/plain":["                id state   stop_date stop_time location_raw       county_name  \\\n","0  TX-2010-0000002    TX  2010-01-01     00:00    Guadalupe  Guadalupe County   \n","1  TX-2010-0000003    TX  2010-01-01     00:00       Fannin     Fannin County   \n","2  TX-2010-0000004    TX  2010-01-01     00:00      Coryell    Coryell County   \n","3  TX-2010-0000005    TX  2010-01-01     00:00       Dallas     Dallas County   \n","4  TX-2010-0000006    TX  2010-01-01     00:00       Denton     Denton County   \n","\n","   county_fips  fine_grained_location  police_department driver_gender  ...  \\\n","0      48187.0                  622.0                NaN             F  ...   \n","1      48147.0                  668.0                NaN             F  ...   \n","2      48099.0                  560.0                NaN             M  ...   \n","3      48113.0                  464.0                NaN             M  ...   \n","4      48121.0                    0.0                NaN             M  ...   \n","\n","   search_conducted  search_type_raw search_type contraband_found  \\\n","0             False              NaN         NaN            False   \n","1             False              NaN         NaN            False   \n","2             False              NaN         NaN            False   \n","3             False              NaN         NaN            False   \n","4             False              NaN         NaN            False   \n","\n","  stop_outcome is_arrested        lat        lon officer_id  \\\n","0      Warning         NaN  29.622867 -97.778663      11524   \n","1      Warning         NaN  33.603183 -96.150215      12274   \n","2     Citation         NaN  31.121599 -97.835418      12365   \n","3     Citation         NaN        NaN        NaN      10795   \n","4     Citation         NaN        NaN        NaN      12571   \n","\n","   driver_race_original  \n","0                 Asian  \n","1                 White  \n","2                 Black  \n","3                 Black  \n","4                 White  \n","\n","[5 rows x 26 columns]"]},"execution_count":13,"metadata":{},"output_type":"execute_result"}],"source":["%%time\n","ddf.head()"]},{"cell_type":"markdown","id":"422e0bd2","metadata":{"papermill":{"duration":0.018646,"end_time":"2023-02-15T22:46:56.745809","exception":false,"start_time":"2023-02-15T22:46:56.727163","status":"completed"},"tags":[]},"source":["# What is this Dask Dataframe?\n","A large, virtual dataframe divided along the index into multiple Pandas dataframes:"]},{"cell_type":"code","execution_count":14,"id":"c599569f","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:46:56.786386Z","iopub.status.busy":"2023-02-15T22:46:56.784465Z","iopub.status.idle":"2023-02-15T22:47:33.854Z","shell.execute_reply":"2023-02-15T22:47:33.84816Z"},"papermill":{"duration":37.107569,"end_time":"2023-02-15T22:47:33.872222","exception":false,"start_time":"2023-02-15T22:46:56.764653","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0     320331\n","1     319055\n","2     317988\n","3     317534\n","4     317974\n","5     318156\n","6     320416\n","7     320723\n","8     318603\n","9     317948\n","10    315403\n","11    315560\n","12    316307\n","13    316121\n","14    315790\n","15    316616\n","16    315106\n","17    315204\n","18    315310\n","19    315377\n","20    315152\n","21    315723\n","22    317291\n","23    317568\n","24    315960\n","25    315924\n","26    316432\n","27    316258\n","28    316371\n","29    317325\n","30    317513\n","31    315363\n","32    314852\n","33    314527\n","34    315914\n","35    316771\n","36    316046\n","37    317190\n","38    317145\n","39    317452\n","40    319439\n","41    316180\n","dtype: int64"]},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":["ddf.map_partitions(len).compute()"]},{"cell_type":"code","execution_count":15,"id":"c8841063","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:47:33.915834Z","iopub.status.busy":"2023-02-15T22:47:33.914927Z","iopub.status.idle":"2023-02-15T22:48:06.268953Z","shell.execute_reply":"2023-02-15T22:48:06.267292Z"},"papermill":{"duration":32.396331,"end_time":"2023-02-15T22:48:06.289468","exception":false,"start_time":"2023-02-15T22:47:33.893137","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["CPU times: user 3.42 s, sys: 488 ms, total: 3.91 s\n","Wall time: 32.3 s\n"]},{"data":{"text/plain":["0     <class 'pandas.core.frame.DataFrame'>\n","1     <class 'pandas.core.frame.DataFrame'>\n","2     <class 'pandas.core.frame.DataFrame'>\n","3     <class 'pandas.core.frame.DataFrame'>\n","4     <class 'pandas.core.frame.DataFrame'>\n","5     <class 'pandas.core.frame.DataFrame'>\n","6     <class 'pandas.core.frame.DataFrame'>\n","7     <class 'pandas.core.frame.DataFrame'>\n","8     <class 'pandas.core.frame.DataFrame'>\n","9     <class 'pandas.core.frame.DataFrame'>\n","10    <class 'pandas.core.frame.DataFrame'>\n","11    <class 'pandas.core.frame.DataFrame'>\n","12    <class 'pandas.core.frame.DataFrame'>\n","13    <class 'pandas.core.frame.DataFrame'>\n","14    <class 'pandas.core.frame.DataFrame'>\n","15    <class 'pandas.core.frame.DataFrame'>\n","16    <class 'pandas.core.frame.DataFrame'>\n","17    <class 'pandas.core.frame.DataFrame'>\n","18    <class 'pandas.core.frame.DataFrame'>\n","19    <class 'pandas.core.frame.DataFrame'>\n","20    <class 'pandas.core.frame.DataFrame'>\n","21    <class 'pandas.core.frame.DataFrame'>\n","22    <class 'pandas.core.frame.DataFrame'>\n","23    <class 'pandas.core.frame.DataFrame'>\n","24    <class 'pandas.core.frame.DataFrame'>\n","25    <class 'pandas.core.frame.DataFrame'>\n","26    <class 'pandas.core.frame.DataFrame'>\n","27    <class 'pandas.core.frame.DataFrame'>\n","28    <class 'pandas.core.frame.DataFrame'>\n","29    <class 'pandas.core.frame.DataFrame'>\n","30    <class 'pandas.core.frame.DataFrame'>\n","31    <class 'pandas.core.frame.DataFrame'>\n","32    <class 'pandas.core.frame.DataFrame'>\n","33    <class 'pandas.core.frame.DataFrame'>\n","34    <class 'pandas.core.frame.DataFrame'>\n","35    <class 'pandas.core.frame.DataFrame'>\n","36    <class 'pandas.core.frame.DataFrame'>\n","37    <class 'pandas.core.frame.DataFrame'>\n","38    <class 'pandas.core.frame.DataFrame'>\n","39    <class 'pandas.core.frame.DataFrame'>\n","40    <class 'pandas.core.frame.DataFrame'>\n","41    <class 'pandas.core.frame.DataFrame'>\n","dtype: object"]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["%%time\n","ddf.map_partitions(type).compute()"]},{"cell_type":"markdown","id":"554abfdc","metadata":{"papermill":{"duration":0.019894,"end_time":"2023-02-15T22:48:06.329539","exception":false,"start_time":"2023-02-15T22:48:06.309645","status":"completed"},"tags":[]},"source":["# Dask DataFrame Shape"]},{"cell_type":"code","execution_count":16,"id":"f68e3734","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:48:06.373033Z","iopub.status.busy":"2023-02-15T22:48:06.371885Z","iopub.status.idle":"2023-02-15T22:48:37.587192Z","shell.execute_reply":"2023-02-15T22:48:37.586325Z"},"papermill":{"duration":31.25986,"end_time":"2023-02-15T22:48:37.610031","exception":false,"start_time":"2023-02-15T22:48:06.350171","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["CPU times: user 3.08 s, sys: 486 ms, total: 3.57 s\n","Wall time: 31.2 s\n"]},{"data":{"text/plain":["13307918"]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["%%time\n","len(ddf)"]},{"cell_type":"code","execution_count":17,"id":"ca70bc8a","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:48:37.652667Z","iopub.status.busy":"2023-02-15T22:48:37.651501Z","iopub.status.idle":"2023-02-15T22:49:09.788772Z","shell.execute_reply":"2023-02-15T22:49:09.787476Z"},"papermill":{"duration":32.180082,"end_time":"2023-02-15T22:49:09.810191","exception":false,"start_time":"2023-02-15T22:48:37.630109","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["CPU times: user 3.31 s, sys: 473 ms, total: 3.78 s\n","Wall time: 32.1 s\n"]},{"data":{"text/plain":["13307918"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["%%time\n","ddf.shape[0].compute()"]},{"cell_type":"code","execution_count":18,"id":"d648d604","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:49:09.851261Z","iopub.status.busy":"2023-02-15T22:49:09.850195Z","iopub.status.idle":"2023-02-15T22:49:41.883182Z","shell.execute_reply":"2023-02-15T22:49:41.881192Z"},"papermill":{"duration":32.071746,"end_time":"2023-02-15T22:49:41.901258","exception":false,"start_time":"2023-02-15T22:49:09.829512","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Number of rows: 13307918\n","Number of columns: 26\n"]}],"source":["ddf_rows = ddf.shape[0].compute()\n","ddf_col = ddf.shape[1]\n","print(f\"Number of rows: {ddf_rows}\")\n","print(f\"Number of columns: {ddf_col}\")"]},{"cell_type":"markdown","id":"61eec5f1","metadata":{"papermill":{"duration":0.01954,"end_time":"2023-02-15T22:49:41.940407","exception":false,"start_time":"2023-02-15T22:49:41.920867","status":"completed"},"tags":[]},"source":["# Missing Values"]},{"cell_type":"code","execution_count":19,"id":"e25db184","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:49:41.982123Z","iopub.status.busy":"2023-02-15T22:49:41.981466Z","iopub.status.idle":"2023-02-15T22:50:19.571799Z","shell.execute_reply":"2023-02-15T22:50:19.570438Z"},"papermill":{"duration":37.631457,"end_time":"2023-02-15T22:50:19.59172","exception":false,"start_time":"2023-02-15T22:49:41.960263","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["CPU times: user 3.77 s, sys: 590 ms, total: 4.36 s\n","Wall time: 37.6 s\n"]},{"data":{"text/plain":["id                         0.000000\n","state                      0.000000\n","stop_date                  0.000000\n","stop_time                  0.000000\n","location_raw               0.000751\n","county_name                0.000751\n","county_fips                0.000751\n","fine_grained_location      0.001390\n","police_department        100.000000\n","driver_gender              0.002239\n","driver_age_raw           100.000000\n","driver_age               100.000000\n","driver_race_raw            0.001796\n","driver_race                2.957750\n","violation_raw              0.006244\n","violation                  0.006244\n","search_conducted           0.000000\n","search_type_raw           98.170495\n","search_type               98.170495\n","contraband_found           0.000000\n","stop_outcome               0.000000\n","is_arrested              100.000000\n","lat                       16.357254\n","lon                       16.354031\n","officer_id                 0.003103\n","driver_race_original       6.084941\n","dtype: float64"]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["%%time\n","(ddf.isna().sum().compute() / ddf_rows) * 100"]},{"cell_type":"markdown","id":"b84c87b3","metadata":{"papermill":{"duration":0.020324,"end_time":"2023-02-15T22:50:19.632331","exception":false,"start_time":"2023-02-15T22:50:19.612007","status":"completed"},"tags":[]},"source":["# Drop Columns"]},{"cell_type":"code","execution_count":20,"id":"d1b754d0","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:50:19.674694Z","iopub.status.busy":"2023-02-15T22:50:19.674236Z","iopub.status.idle":"2023-02-15T22:50:19.698683Z","shell.execute_reply":"2023-02-15T22:50:19.697151Z"},"papermill":{"duration":0.048382,"end_time":"2023-02-15T22:50:19.701372","exception":false,"start_time":"2023-02-15T22:50:19.65299","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Number of columns before removing columns: 26\n","Number of columns After removing columns: 20\n"]}],"source":["columns = [\n","    'police_department', 'driver_age_raw', 'driver_age', 'search_type_raw', \n","    'search_type', 'is_arrested'\n","]\n","print(f\"Number of columns before removing columns: {ddf.shape[1]}\")\n","\n","ddf = ddf.drop(columns, axis=1)\n","\n","print(f\"Number of columns After removing columns: {ddf.shape[1]}\")"]},{"cell_type":"code","execution_count":21,"id":"1ea095ef","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:50:19.745161Z","iopub.status.busy":"2023-02-15T22:50:19.744402Z","iopub.status.idle":"2023-02-15T22:50:57.696125Z","shell.execute_reply":"2023-02-15T22:50:57.69472Z"},"papermill":{"duration":37.996285,"end_time":"2023-02-15T22:50:57.718426","exception":false,"start_time":"2023-02-15T22:50:19.722141","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["id                        0.000000\n","state                     0.000000\n","stop_date                 0.000000\n","stop_time                 0.000000\n","location_raw              0.000751\n","county_name               0.000751\n","county_fips               0.000751\n","fine_grained_location     0.001390\n","driver_gender             0.002239\n","driver_race_raw           0.001796\n","driver_race               2.957750\n","violation_raw             0.006244\n","violation                 0.006244\n","search_conducted          0.000000\n","contraband_found          0.000000\n","stop_outcome              0.000000\n","lat                      16.357254\n","lon                      16.354031\n","officer_id                0.003103\n","driver_race_original      6.084941\n","dtype: float64"]},"execution_count":21,"metadata":{},"output_type":"execute_result"}],"source":["(ddf.isna().sum().compute() / ddf_rows) * 100"]},{"cell_type":"markdown","id":"14ac8650","metadata":{"papermill":{"duration":0.019638,"end_time":"2023-02-15T22:50:57.759192","exception":false,"start_time":"2023-02-15T22:50:57.739554","status":"completed"},"tags":[]},"source":["# Drop Rows"]},{"cell_type":"code","execution_count":22,"id":"61689d1d","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:50:57.799599Z","iopub.status.busy":"2023-02-15T22:50:57.79898Z","iopub.status.idle":"2023-02-15T22:51:37.269581Z","shell.execute_reply":"2023-02-15T22:51:37.268358Z"},"papermill":{"duration":39.517123,"end_time":"2023-02-15T22:51:37.295624","exception":false,"start_time":"2023-02-15T22:50:57.778501","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["13307918\n","10449583\n"]}],"source":["print(ddf_rows)\n","ddf = ddf.dropna(how='any')\n","print(ddf.shape[0].compute())"]},{"cell_type":"code","execution_count":23,"id":"4f488c28","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:51:37.338514Z","iopub.status.busy":"2023-02-15T22:51:37.338037Z","iopub.status.idle":"2023-02-15T22:52:19.807163Z","shell.execute_reply":"2023-02-15T22:52:19.805632Z"},"papermill":{"duration":42.508858,"end_time":"2023-02-15T22:52:19.825448","exception":false,"start_time":"2023-02-15T22:51:37.31659","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["id                       0.0\n","state                    0.0\n","stop_date                0.0\n","stop_time                0.0\n","location_raw             0.0\n","county_name              0.0\n","county_fips              0.0\n","fine_grained_location    0.0\n","driver_gender            0.0\n","driver_race_raw          0.0\n","driver_race              0.0\n","violation_raw            0.0\n","violation                0.0\n","search_conducted         0.0\n","contraband_found         0.0\n","stop_outcome             0.0\n","lat                      0.0\n","lon                      0.0\n","officer_id               0.0\n","driver_race_original     0.0\n","dtype: float64"]},"execution_count":23,"metadata":{},"output_type":"execute_result"}],"source":["(ddf.isna().sum().compute() / ddf_rows) * 100"]},{"cell_type":"markdown","id":"c3bf679c","metadata":{"papermill":{"duration":0.019809,"end_time":"2023-02-15T22:52:19.865158","exception":false,"start_time":"2023-02-15T22:52:19.845349","status":"completed"},"tags":[]},"source":["# Drop_duplicates Rows"]},{"cell_type":"code","execution_count":24,"id":"684d2c6c","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:52:19.90854Z","iopub.status.busy":"2023-02-15T22:52:19.907773Z","iopub.status.idle":"2023-02-15T22:52:19.912786Z","shell.execute_reply":"2023-02-15T22:52:19.91147Z"},"papermill":{"duration":0.029969,"end_time":"2023-02-15T22:52:19.914987","exception":false,"start_time":"2023-02-15T22:52:19.885018","status":"completed"},"tags":[]},"outputs":[],"source":["# print(ddf.shape[0].compute())\n","\n","# print(ddf.drop_duplicates().shape[0].compute())"]},{"cell_type":"code","execution_count":25,"id":"9c8e9bd5","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:52:19.959559Z","iopub.status.busy":"2023-02-15T22:52:19.958702Z","iopub.status.idle":"2023-02-15T22:52:19.963941Z","shell.execute_reply":"2023-02-15T22:52:19.962629Z"},"papermill":{"duration":0.03044,"end_time":"2023-02-15T22:52:19.966371","exception":false,"start_time":"2023-02-15T22:52:19.935931","status":"completed"},"tags":[]},"outputs":[],"source":["# print(ddf.shape[0].compute())\n","# # ddf = ddf.drop_duplicates(subset=['id'])\n","# print(ddf.drop_duplicates(subset=['id']).shape[0].compute())"]},{"cell_type":"code","execution_count":26,"id":"b6d05e77","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:52:20.011556Z","iopub.status.busy":"2023-02-15T22:52:20.010816Z","iopub.status.idle":"2023-02-15T22:53:17.065475Z","shell.execute_reply":"2023-02-15T22:53:17.064084Z"},"papermill":{"duration":57.098559,"end_time":"2023-02-15T22:53:17.087402","exception":false,"start_time":"2023-02-15T22:52:19.988843","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["10449583"]},"execution_count":26,"metadata":{},"output_type":"execute_result"}],"source":["ddf['id'].nunique().compute()"]},{"cell_type":"markdown","id":"206c2314","metadata":{"papermill":{"duration":0.019933,"end_time":"2023-02-15T22:53:17.128256","exception":false,"start_time":"2023-02-15T22:53:17.108323","status":"completed"},"tags":[]},"source":["# Dask DataFrame info"]},{"cell_type":"code","execution_count":27,"id":"b66e5014","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:53:17.171309Z","iopub.status.busy":"2023-02-15T22:53:17.170455Z","iopub.status.idle":"2023-02-15T22:53:17.177329Z","shell.execute_reply":"2023-02-15T22:53:17.176156Z"},"papermill":{"duration":0.031867,"end_time":"2023-02-15T22:53:17.180665","exception":false,"start_time":"2023-02-15T22:53:17.148798","status":"completed"},"tags":[]},"outputs":[],"source":["non_object_col = ddf.columns[(ddf.dtypes != object) & (ddf.dtypes != bool)].to_list()"]},{"cell_type":"code","execution_count":28,"id":"5ba8b0c8","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:53:17.227712Z","iopub.status.busy":"2023-02-15T22:53:17.226625Z","iopub.status.idle":"2023-02-15T22:53:17.250753Z","shell.execute_reply":"2023-02-15T22:53:17.249204Z"},"papermill":{"duration":0.050555,"end_time":"2023-02-15T22:53:17.253219","exception":false,"start_time":"2023-02-15T22:53:17.202664","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div><strong>Dask DataFrame Structure:</strong></div>\n","<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>county_fips</th>\n","      <th>fine_grained_location</th>\n","      <th>lat</th>\n","      <th>lon</th>\n","    </tr>\n","    <tr>\n","      <th>npartitions=42</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th></th>\n","      <td>float64</td>\n","      <td>float64</td>\n","      <td>float64</td>\n","      <td>float64</td>\n","    </tr>\n","    <tr>\n","      <th></th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th></th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th></th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","<div>Dask Name: getitem, 168 tasks</div>"],"text/plain":["Dask DataFrame Structure:\n","               county_fips fine_grained_location      lat      lon\n","npartitions=42                                                    \n","                   float64               float64  float64  float64\n","                       ...                   ...      ...      ...\n","...                    ...                   ...      ...      ...\n","                       ...                   ...      ...      ...\n","                       ...                   ...      ...      ...\n","Dask Name: getitem, 168 tasks"]},"execution_count":28,"metadata":{},"output_type":"execute_result"}],"source":["ddf[non_object_col]"]},{"cell_type":"code","execution_count":29,"id":"e9078694","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:53:17.30157Z","iopub.status.busy":"2023-02-15T22:53:17.300921Z","iopub.status.idle":"2023-02-15T22:53:17.309589Z","shell.execute_reply":"2023-02-15T22:53:17.307604Z"},"papermill":{"duration":0.035951,"end_time":"2023-02-15T22:53:17.312098","exception":false,"start_time":"2023-02-15T22:53:17.276147","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'dask.dataframe.core.DataFrame'>\n","Columns: 20 entries, id to driver_race_original\n","dtypes: object(14), bool(2), float64(4)"]}],"source":["ddf.info()"]},{"cell_type":"code","execution_count":30,"id":"d8422a2e","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:53:17.358113Z","iopub.status.busy":"2023-02-15T22:53:17.356894Z","iopub.status.idle":"2023-02-15T22:53:58.456348Z","shell.execute_reply":"2023-02-15T22:53:58.454722Z"},"papermill":{"duration":41.147363,"end_time":"2023-02-15T22:53:58.480981","exception":false,"start_time":"2023-02-15T22:53:17.333618","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>county_fips</th>\n","      <th>fine_grained_location</th>\n","      <th>lat</th>\n","      <th>lon</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>1.044958e+07</td>\n","      <td>1.044958e+07</td>\n","      <td>1.044958e+07</td>\n","      <td>1.044958e+07</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>4.825281e+04</td>\n","      <td>4.244019e+02</td>\n","      <td>3.095080e+01</td>\n","      <td>-9.773059e+01</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>1.475546e+02</td>\n","      <td>2.534691e+02</td>\n","      <td>2.239907e+00</td>\n","      <td>2.549805e+00</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>4.800100e+04</td>\n","      <td>0.000000e+00</td>\n","      <td>2.106813e+01</td>\n","      <td>-1.250619e+02</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>4.815100e+04</td>\n","      <td>2.780000e+02</td>\n","      <td>2.987920e+01</td>\n","      <td>-9.844100e+01</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>4.824500e+04</td>\n","      <td>4.980000e+02</td>\n","      <td>3.137398e+01</td>\n","      <td>-9.722815e+01</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>4.840900e+04</td>\n","      <td>6.740000e+02</td>\n","      <td>3.272706e+01</td>\n","      <td>-9.548163e+01</td>\n","    </tr>\n","    <tr>\n","      <th>85%</th>\n","      <td>4.845300e+04</td>\n","      <td>7.240000e+02</td>\n","      <td>3.323127e+01</td>\n","      <td>-9.497208e+01</td>\n","    </tr>\n","    <tr>\n","      <th>90%</th>\n","      <td>4.847100e+04</td>\n","      <td>8.000000e+02</td>\n","      <td>3.359772e+01</td>\n","      <td>-9.467875e+01</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>4.850700e+04</td>\n","      <td>9.999000e+03</td>\n","      <td>7.631857e+01</td>\n","      <td>-4.477363e+01</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["        county_fips  fine_grained_location           lat           lon\n","count  1.044958e+07           1.044958e+07  1.044958e+07  1.044958e+07\n","mean   4.825281e+04           4.244019e+02  3.095080e+01 -9.773059e+01\n","std    1.475546e+02           2.534691e+02  2.239907e+00  2.549805e+00\n","min    4.800100e+04           0.000000e+00  2.106813e+01 -1.250619e+02\n","25%    4.815100e+04           2.780000e+02  2.987920e+01 -9.844100e+01\n","50%    4.824500e+04           4.980000e+02  3.137398e+01 -9.722815e+01\n","75%    4.840900e+04           6.740000e+02  3.272706e+01 -9.548163e+01\n","85%    4.845300e+04           7.240000e+02  3.323127e+01 -9.497208e+01\n","90%    4.847100e+04           8.000000e+02  3.359772e+01 -9.467875e+01\n","max    4.850700e+04           9.999000e+03  7.631857e+01 -4.477363e+01"]},"execution_count":30,"metadata":{},"output_type":"execute_result"}],"source":["# Describe shows only numerical columns\n","ddf[non_object_col].describe(percentiles=[.25, .5, .75, .85, .9]).compute()"]},{"cell_type":"markdown","id":"83ffd21d","metadata":{"papermill":{"duration":0.021336,"end_time":"2023-02-15T22:53:58.523737","exception":false,"start_time":"2023-02-15T22:53:58.502401","status":"completed"},"tags":[]},"source":["# Analysing some columns"]},{"cell_type":"code","execution_count":31,"id":"97a4f145","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:53:58.568264Z","iopub.status.busy":"2023-02-15T22:53:58.567844Z","iopub.status.idle":"2023-02-15T22:53:58.572943Z","shell.execute_reply":"2023-02-15T22:53:58.571546Z"},"papermill":{"duration":0.030139,"end_time":"2023-02-15T22:53:58.575317","exception":false,"start_time":"2023-02-15T22:53:58.545178","status":"completed"},"tags":[]},"outputs":[],"source":["# for column in ddf.columns:\n","#     print(f\"{column}: Number of unique values {ddf[column].nunique().compute()}\")\n","#     print(\"_______________________________________________\\n\")"]},{"cell_type":"code","execution_count":32,"id":"04d31bbe","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:53:58.621222Z","iopub.status.busy":"2023-02-15T22:53:58.620818Z","iopub.status.idle":"2023-02-15T22:53:58.627597Z","shell.execute_reply":"2023-02-15T22:53:58.626544Z"},"papermill":{"duration":0.032199,"end_time":"2023-02-15T22:53:58.629966","exception":false,"start_time":"2023-02-15T22:53:58.597767","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Index(['id', 'state', 'stop_date', 'stop_time', 'location_raw', 'county_name',\n","       'county_fips', 'fine_grained_location', 'driver_gender',\n","       'driver_race_raw', 'driver_race', 'violation_raw', 'violation',\n","       'search_conducted', 'contraband_found', 'stop_outcome', 'lat', 'lon',\n","       'officer_id', 'driver_race_original'],\n","      dtype='object')"]},"execution_count":32,"metadata":{},"output_type":"execute_result"}],"source":["ddf.columns"]},{"cell_type":"code","execution_count":33,"id":"04137441","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:53:58.677639Z","iopub.status.busy":"2023-02-15T22:53:58.677185Z","iopub.status.idle":"2023-02-15T22:54:37.300641Z","shell.execute_reply":"2023-02-15T22:54:37.299379Z"},"papermill":{"duration":38.673689,"end_time":"2023-02-15T22:54:37.326072","exception":false,"start_time":"2023-02-15T22:53:58.652383","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["False    10386766\n","True        62817\n","Name: contraband_found, dtype: int64"]},"execution_count":33,"metadata":{},"output_type":"execute_result"}],"source":["ddf['contraband_found'].value_counts().compute()"]},{"cell_type":"code","execution_count":34,"id":"c54d086b","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:54:37.373555Z","iopub.status.busy":"2023-02-15T22:54:37.372297Z","iopub.status.idle":"2023-02-15T22:55:16.303531Z","shell.execute_reply":"2023-02-15T22:55:16.302681Z"},"papermill":{"duration":38.979961,"end_time":"2023-02-15T22:55:16.327769","exception":false,"start_time":"2023-02-15T22:54:37.347808","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Warning     6833056\n","Citation    3616527\n","Name: stop_outcome, dtype: int64"]},"execution_count":34,"metadata":{},"output_type":"execute_result"}],"source":["ddf['stop_outcome'].value_counts().compute()"]},{"cell_type":"code","execution_count":35,"id":"035f1ee0","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:55:16.373385Z","iopub.status.busy":"2023-02-15T22:55:16.373002Z","iopub.status.idle":"2023-02-15T22:55:55.541863Z","shell.execute_reply":"2023-02-15T22:55:55.54075Z"},"papermill":{"duration":39.215792,"end_time":"2023-02-15T22:55:55.564865","exception":false,"start_time":"2023-02-15T22:55:16.349073","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["White       5941070\n","Hispanic    3188555\n","Black       1102310\n","Asian        189257\n","Other         28391\n","Name: driver_race, dtype: int64"]},"execution_count":35,"metadata":{},"output_type":"execute_result"}],"source":["ddf['driver_race'].value_counts().compute()"]},{"cell_type":"code","execution_count":36,"id":"ea13ce1e","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:55:55.610783Z","iopub.status.busy":"2023-02-15T22:55:55.61037Z","iopub.status.idle":"2023-02-15T22:56:34.120526Z","shell.execute_reply":"2023-02-15T22:56:34.119415Z"},"papermill":{"duration":38.557282,"end_time":"2023-02-15T22:56:34.14386","exception":false,"start_time":"2023-02-15T22:55:55.586578","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["M    7017302\n","F    3432281\n","Name: driver_gender, dtype: int64"]},"execution_count":36,"metadata":{},"output_type":"execute_result"}],"source":["ddf['driver_gender'].value_counts().compute()"]},{"cell_type":"code","execution_count":37,"id":"4bdbf561","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:56:34.189514Z","iopub.status.busy":"2023-02-15T22:56:34.189117Z","iopub.status.idle":"2023-02-15T22:57:13.06774Z","shell.execute_reply":"2023-02-15T22:57:13.06686Z"},"papermill":{"duration":38.923419,"end_time":"2023-02-15T22:57:13.089418","exception":false,"start_time":"2023-02-15T22:56:34.165999","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["TX    10449583\n","Name: state, dtype: int64"]},"execution_count":37,"metadata":{},"output_type":"execute_result"}],"source":["ddf['state'].value_counts().compute()"]},{"cell_type":"code","execution_count":38,"id":"9e4520fe","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:57:13.134476Z","iopub.status.busy":"2023-02-15T22:57:13.134046Z","iopub.status.idle":"2023-02-15T22:57:13.148132Z","shell.execute_reply":"2023-02-15T22:57:13.147221Z"},"papermill":{"duration":0.039656,"end_time":"2023-02-15T22:57:13.150956","exception":false,"start_time":"2023-02-15T22:57:13.1113","status":"completed"},"tags":[]},"outputs":[],"source":["# State contains only one value\n","ddf = ddf.drop('state', axis=1)"]},{"cell_type":"code","execution_count":39,"id":"2d40e967","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:57:13.197345Z","iopub.status.busy":"2023-02-15T22:57:13.196907Z","iopub.status.idle":"2023-02-15T22:57:52.323439Z","shell.execute_reply":"2023-02-15T22:57:52.322637Z"},"papermill":{"duration":39.174403,"end_time":"2023-02-15T22:57:52.347126","exception":false,"start_time":"2023-02-15T22:57:13.172723","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Hidalgo County       399544\n","Montgomery County    262095\n","Harris County        245530\n","Cameron County       177749\n","Starr County         168596\n","                      ...  \n","Lipscomb County        1050\n","Kent County            1036\n","Edwards County          846\n","Borden County           470\n","Loving County            68\n","Name: county_name, Length: 254, dtype: int64"]},"execution_count":39,"metadata":{},"output_type":"execute_result"}],"source":["ddf['county_name'].value_counts().compute()"]},{"cell_type":"code","execution_count":40,"id":"215e0189","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:57:52.395626Z","iopub.status.busy":"2023-02-15T22:57:52.395173Z","iopub.status.idle":"2023-02-15T22:57:52.423492Z","shell.execute_reply":"2023-02-15T22:57:52.422315Z"},"papermill":{"duration":0.055751,"end_time":"2023-02-15T22:57:52.426167","exception":false,"start_time":"2023-02-15T22:57:52.370416","status":"completed"},"tags":[]},"outputs":[],"source":["montgomery = ddf[ddf['county_name'].str.contains('Montgomery')]\n","montgomery_county_fips = montgomery.groupby('driver_race').driver_gender.agg(['count'])"]},{"cell_type":"code","execution_count":41,"id":"cd0a3147","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:57:52.472252Z","iopub.status.busy":"2023-02-15T22:57:52.471146Z","iopub.status.idle":"2023-02-15T22:58:34.858099Z","shell.execute_reply":"2023-02-15T22:58:34.8572Z"},"papermill":{"duration":42.434916,"end_time":"2023-02-15T22:58:34.88284","exception":false,"start_time":"2023-02-15T22:57:52.447924","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["driver_race\n","Asian         5160\n","Black        28485\n","Hispanic     49821\n","Other          635\n","White       177994\n","Name: driver_gender, dtype: int64"]},"execution_count":41,"metadata":{},"output_type":"execute_result"}],"source":["montgomery.groupby('driver_race').driver_gender.count().compute()"]},{"cell_type":"code","execution_count":42,"id":"3ac9df59","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:58:34.930389Z","iopub.status.busy":"2023-02-15T22:58:34.929958Z","iopub.status.idle":"2023-02-15T22:58:34.934875Z","shell.execute_reply":"2023-02-15T22:58:34.933623Z"},"papermill":{"duration":0.031276,"end_time":"2023-02-15T22:58:34.937103","exception":false,"start_time":"2023-02-15T22:58:34.905827","status":"completed"},"tags":[]},"outputs":[],"source":["# montgomery_county_fips.visualize()"]},{"cell_type":"code","execution_count":43,"id":"f5b8ee6e","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:58:34.983437Z","iopub.status.busy":"2023-02-15T22:58:34.982993Z","iopub.status.idle":"2023-02-15T22:58:34.988614Z","shell.execute_reply":"2023-02-15T22:58:34.98771Z"},"papermill":{"duration":0.031905,"end_time":"2023-02-15T22:58:34.991386","exception":false,"start_time":"2023-02-15T22:58:34.959481","status":"completed"},"tags":[]},"outputs":[],"source":["# montgomery_county_fips.compute()"]},{"cell_type":"markdown","id":"81e4628f","metadata":{"papermill":{"duration":0.021842,"end_time":"2023-02-15T22:58:35.036716","exception":false,"start_time":"2023-02-15T22:58:35.014874","status":"completed"},"tags":[]},"source":["# Dask Arrays"]},{"cell_type":"code","execution_count":44,"id":"e00dddf3","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:58:35.083201Z","iopub.status.busy":"2023-02-15T22:58:35.08209Z","iopub.status.idle":"2023-02-15T22:58:35.087052Z","shell.execute_reply":"2023-02-15T22:58:35.086178Z"},"papermill":{"duration":0.030272,"end_time":"2023-02-15T22:58:35.0893","exception":false,"start_time":"2023-02-15T22:58:35.059028","status":"completed"},"tags":[]},"outputs":[],"source":["import numpy as np\n","import dask.array as da"]},{"cell_type":"code","execution_count":45,"id":"ace369aa","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:58:35.138027Z","iopub.status.busy":"2023-02-15T22:58:35.137137Z","iopub.status.idle":"2023-02-15T22:58:35.143959Z","shell.execute_reply":"2023-02-15T22:58:35.142851Z"},"papermill":{"duration":0.034,"end_time":"2023-02-15T22:58:35.146406","exception":false,"start_time":"2023-02-15T22:58:35.112406","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["array([ 1,  4,  7, 10, 13, 16, 19, 22, 25, 28, 31, 34, 37, 40, 43, 46, 49])"]},"execution_count":45,"metadata":{},"output_type":"execute_result"}],"source":["a_np = np.arange(1, 50, 3)\n","a_np"]},{"cell_type":"code","execution_count":46,"id":"85d6fabc","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:58:35.193167Z","iopub.status.busy":"2023-02-15T22:58:35.192756Z","iopub.status.idle":"2023-02-15T22:58:35.209504Z","shell.execute_reply":"2023-02-15T22:58:35.208493Z"},"papermill":{"duration":0.0432,"end_time":"2023-02-15T22:58:35.211861","exception":false,"start_time":"2023-02-15T22:58:35.168661","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<table>\n","    <tr>\n","        <td>\n","            <table>\n","                <thead>\n","                    <tr>\n","                        <td> </td>\n","                        <th> Array </th>\n","                        <th> Chunk </th>\n","                    </tr>\n","                </thead>\n","                <tbody>\n","                    \n","                    <tr>\n","                        <th> Bytes </th>\n","                        <td> 136 B </td>\n","                        <td> 40 B </td>\n","                    </tr>\n","                    \n","                    <tr>\n","                        <th> Shape </th>\n","                        <td> (17,) </td>\n","                        <td> (5,) </td>\n","                    </tr>\n","                    <tr>\n","                        <th> Count </th>\n","                        <td> 4 Tasks </td>\n","                        <td> 4 Chunks </td>\n","                    </tr>\n","                    <tr>\n","                    <th> Type </th>\n","                    <td> int64 </td>\n","                    <td> numpy.ndarray </td>\n","                    </tr>\n","                </tbody>\n","            </table>\n","        </td>\n","        <td>\n","        <svg width=\"170\" height=\"85\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n","\n","  <!-- Horizontal lines -->\n","  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n","  <line x1=\"0\" y1=\"35\" x2=\"120\" y2=\"35\" style=\"stroke-width:2\" />\n","\n","  <!-- Vertical lines -->\n","  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"35\" style=\"stroke-width:2\" />\n","  <line x1=\"35\" y1=\"0\" x2=\"35\" y2=\"35\" />\n","  <line x1=\"70\" y1=\"0\" x2=\"70\" y2=\"35\" />\n","  <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"35\" />\n","  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"35\" style=\"stroke-width:2\" />\n","\n","  <!-- Colored Rectangle -->\n","  <polygon points=\"0.0,0.0 120.0,0.0 120.0,35.49251375950792 0.0,35.49251375950792\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n","\n","  <!-- Text -->\n","  <text x=\"60.000000\" y=\"55.492514\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >17</text>\n","  <text x=\"140.000000\" y=\"17.746257\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,17.746257)\">1</text>\n","</svg>\n","        </td>\n","    </tr>\n","</table>"],"text/plain":["dask.array<arange, shape=(17,), dtype=int64, chunksize=(5,), chunktype=numpy.ndarray>"]},"execution_count":46,"metadata":{},"output_type":"execute_result"}],"source":["a_da = da.arange(1, 50, 3, chunks=5)\n","a_da"]},{"cell_type":"code","execution_count":47,"id":"e1dc6142","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:58:35.261314Z","iopub.status.busy":"2023-02-15T22:58:35.260858Z","iopub.status.idle":"2023-02-15T22:58:35.266934Z","shell.execute_reply":"2023-02-15T22:58:35.265582Z"},"papermill":{"duration":0.03449,"end_time":"2023-02-15T22:58:35.269593","exception":false,"start_time":"2023-02-15T22:58:35.235103","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["int64\n","(17,)\n"]}],"source":["print(a_da.dtype)\n","print(a_da.shape)"]},{"cell_type":"code","execution_count":48,"id":"f5adda7a","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:58:35.320223Z","iopub.status.busy":"2023-02-15T22:58:35.318904Z","iopub.status.idle":"2023-02-15T22:58:35.377696Z","shell.execute_reply":"2023-02-15T22:58:35.374212Z"},"papermill":{"duration":0.08638,"end_time":"2023-02-15T22:58:35.380117","exception":false,"start_time":"2023-02-15T22:58:35.293737","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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\n","text/plain":["<IPython.core.display.Image object>"]},"execution_count":48,"metadata":{},"output_type":"execute_result"}],"source":["a_da.visualize()"]},{"cell_type":"code","execution_count":49,"id":"549a90a7","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:58:35.430173Z","iopub.status.busy":"2023-02-15T22:58:35.429415Z","iopub.status.idle":"2023-02-15T22:58:35.505378Z","shell.execute_reply":"2023-02-15T22:58:35.503866Z"},"papermill":{"duration":0.103755,"end_time":"2023-02-15T22:58:35.508113","exception":false,"start_time":"2023-02-15T22:58:35.404358","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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\n","text/plain":["<IPython.core.display.Image object>"]},"execution_count":49,"metadata":{},"output_type":"execute_result"}],"source":["(a_da ** 2).visualize()"]},{"cell_type":"code","execution_count":50,"id":"451241a3","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:58:35.561169Z","iopub.status.busy":"2023-02-15T22:58:35.560744Z","iopub.status.idle":"2023-02-15T22:58:35.567643Z","shell.execute_reply":"2023-02-15T22:58:35.566299Z"},"papermill":{"duration":0.036541,"end_time":"2023-02-15T22:58:35.570114","exception":false,"start_time":"2023-02-15T22:58:35.533573","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["((5, 5, 5, 2),)\n","(5,)\n"]}],"source":["print(a_da.chunks)\n","print(a_da.chunksize)"]},{"cell_type":"code","execution_count":51,"id":"df6dc6b8","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:58:35.618266Z","iopub.status.busy":"2023-02-15T22:58:35.617854Z","iopub.status.idle":"2023-02-15T22:58:35.63388Z","shell.execute_reply":"2023-02-15T22:58:35.633082Z"},"papermill":{"duration":0.043195,"end_time":"2023-02-15T22:58:35.635981","exception":false,"start_time":"2023-02-15T22:58:35.592786","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<table>\n","    <tr>\n","        <td>\n","            <table>\n","                <thead>\n","                    <tr>\n","                        <td> </td>\n","                        <th> Array </th>\n","                        <th> Chunk </th>\n","                    </tr>\n","                </thead>\n","                <tbody>\n","                    \n","                    <tr>\n","                        <th> Bytes </th>\n","                        <td> 160 B </td>\n","                        <td> 40 B </td>\n","                    </tr>\n","                    \n","                    <tr>\n","                        <th> Shape </th>\n","                        <td> (20,) </td>\n","                        <td> (5,) </td>\n","                    </tr>\n","                    <tr>\n","                        <th> Count </th>\n","                        <td> 4 Tasks </td>\n","                        <td> 4 Chunks </td>\n","                    </tr>\n","                    <tr>\n","                    <th> Type </th>\n","                    <td> float64 </td>\n","                    <td> numpy.ndarray </td>\n","                    </tr>\n","                </tbody>\n","            </table>\n","        </td>\n","        <td>\n","        <svg width=\"170\" height=\"84\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n","\n","  <!-- Horizontal lines -->\n","  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n","  <line x1=\"0\" y1=\"34\" x2=\"120\" y2=\"34\" style=\"stroke-width:2\" />\n","\n","  <!-- Vertical lines -->\n","  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"34\" style=\"stroke-width:2\" />\n","  <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"34\" />\n","  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"34\" />\n","  <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"34\" />\n","  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"34\" style=\"stroke-width:2\" />\n","\n","  <!-- Colored Rectangle -->\n","  <polygon points=\"0.0,0.0 120.0,0.0 120.0,34.50101617379934 0.0,34.50101617379934\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n","\n","  <!-- Text -->\n","  <text x=\"60.000000\" y=\"54.501016\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >20</text>\n","  <text x=\"140.000000\" y=\"17.250508\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,17.250508)\">1</text>\n","</svg>\n","        </td>\n","    </tr>\n","</table>"],"text/plain":["dask.array<random_sample, shape=(20,), dtype=float64, chunksize=(5,), chunktype=numpy.ndarray>"]},"execution_count":51,"metadata":{},"output_type":"execute_result"}],"source":["x = da.random.random(20, chunks=5)\n","x"]},{"cell_type":"code","execution_count":52,"id":"a96a7b34","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:58:35.685448Z","iopub.status.busy":"2023-02-15T22:58:35.683687Z","iopub.status.idle":"2023-02-15T22:58:35.701562Z","shell.execute_reply":"2023-02-15T22:58:35.700444Z"},"papermill":{"duration":0.044923,"end_time":"2023-02-15T22:58:35.70412","exception":false,"start_time":"2023-02-15T22:58:35.659197","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<table>\n","    <tr>\n","        <td>\n","            <table>\n","                <thead>\n","                    <tr>\n","                        <td> </td>\n","                        <th> Array </th>\n","                        <th> Chunk </th>\n","                    </tr>\n","                </thead>\n","                <tbody>\n","                    \n","                    <tr>\n","                        <th> Bytes </th>\n","                        <td> 8 B </td>\n","                        <td> 8.0 B </td>\n","                    </tr>\n","                    \n","                    <tr>\n","                        <th> Shape </th>\n","                        <td> () </td>\n","                        <td> () </td>\n","                    </tr>\n","                    <tr>\n","                        <th> Count </th>\n","                        <td> 9 Tasks </td>\n","                        <td> 1 Chunks </td>\n","                    </tr>\n","                    <tr>\n","                    <th> Type </th>\n","                    <td> float64 </td>\n","                    <td> numpy.ndarray </td>\n","                    </tr>\n","                </tbody>\n","            </table>\n","        </td>\n","        <td>\n","        \n","        </td>\n","    </tr>\n","</table>"],"text/plain":["dask.array<sum-aggregate, shape=(), dtype=float64, chunksize=(), chunktype=numpy.ndarray>"]},"execution_count":52,"metadata":{},"output_type":"execute_result"}],"source":["result = x.sum()\n","result"]},{"cell_type":"code","execution_count":53,"id":"e949b12b","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:58:35.752782Z","iopub.status.busy":"2023-02-15T22:58:35.752059Z","iopub.status.idle":"2023-02-15T22:58:35.892905Z","shell.execute_reply":"2023-02-15T22:58:35.890568Z"},"papermill":{"duration":0.168313,"end_time":"2023-02-15T22:58:35.895802","exception":false,"start_time":"2023-02-15T22:58:35.727489","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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\n","text/plain":["<IPython.core.display.Image object>"]},"execution_count":53,"metadata":{},"output_type":"execute_result"}],"source":["result.visualize()"]},{"cell_type":"code","execution_count":54,"id":"2f08ddb4","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:58:35.949546Z","iopub.status.busy":"2023-02-15T22:58:35.94884Z","iopub.status.idle":"2023-02-15T22:58:36.021725Z","shell.execute_reply":"2023-02-15T22:58:36.019812Z"},"papermill":{"duration":0.101977,"end_time":"2023-02-15T22:58:36.024229","exception":false,"start_time":"2023-02-15T22:58:35.922252","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["11.91671737956052"]},"execution_count":54,"metadata":{},"output_type":"execute_result"}],"source":["result.compute()"]},{"cell_type":"code","execution_count":55,"id":"6ed5dfa7","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:58:36.078236Z","iopub.status.busy":"2023-02-15T22:58:36.077126Z","iopub.status.idle":"2023-02-15T22:58:36.093554Z","shell.execute_reply":"2023-02-15T22:58:36.092719Z"},"papermill":{"duration":0.045501,"end_time":"2023-02-15T22:58:36.09565","exception":false,"start_time":"2023-02-15T22:58:36.050149","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<table>\n","    <tr>\n","        <td>\n","            <table>\n","                <thead>\n","                    <tr>\n","                        <td> </td>\n","                        <th> Array </th>\n","                        <th> Chunk </th>\n","                    </tr>\n","                </thead>\n","                <tbody>\n","                    \n","                    <tr>\n","                        <th> Bytes </th>\n","                        <td> 1.76 kiB </td>\n","                        <td> 400 B </td>\n","                    </tr>\n","                    \n","                    <tr>\n","                        <th> Shape </th>\n","                        <td> (15, 15) </td>\n","                        <td> (10, 5) </td>\n","                    </tr>\n","                    <tr>\n","                        <th> Count </th>\n","                        <td> 6 Tasks </td>\n","                        <td> 6 Chunks </td>\n","                    </tr>\n","                    <tr>\n","                    <th> Type </th>\n","                    <td> float64 </td>\n","                    <td> numpy.ndarray </td>\n","                    </tr>\n","                </tbody>\n","            </table>\n","        </td>\n","        <td>\n","        <svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n","\n","  <!-- Horizontal lines -->\n","  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n","  <line x1=\"0\" y1=\"80\" x2=\"120\" y2=\"80\" />\n","  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n","\n","  <!-- Vertical lines -->\n","  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n","  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n","  <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"120\" />\n","  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n","\n","  <!-- Colored Rectangle -->\n","  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n","\n","  <!-- Text -->\n","  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >15</text>\n","  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,60.000000)\">15</text>\n","</svg>\n","        </td>\n","    </tr>\n","</table>"],"text/plain":["dask.array<random_sample, shape=(15, 15), dtype=float64, chunksize=(10, 5), chunktype=numpy.ndarray>"]},"execution_count":55,"metadata":{},"output_type":"execute_result"}],"source":["x = da.random.random(size=(15, 15), chunks=(10, 5))\n","x"]},{"cell_type":"code","execution_count":56,"id":"fa673009","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:58:36.148106Z","iopub.status.busy":"2023-02-15T22:58:36.146969Z","iopub.status.idle":"2023-02-15T22:58:36.153802Z","shell.execute_reply":"2023-02-15T22:58:36.152332Z"},"papermill":{"duration":0.035588,"end_time":"2023-02-15T22:58:36.15615","exception":false,"start_time":"2023-02-15T22:58:36.120562","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["((10, 5), (5, 5, 5))\n","(10, 5)\n"]}],"source":["print(x.chunks)\n","print(x.chunksize)"]},{"cell_type":"code","execution_count":57,"id":"612629e5","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:58:36.207496Z","iopub.status.busy":"2023-02-15T22:58:36.207065Z","iopub.status.idle":"2023-02-15T22:58:36.229142Z","shell.execute_reply":"2023-02-15T22:58:36.227908Z"},"papermill":{"duration":0.050624,"end_time":"2023-02-15T22:58:36.231518","exception":false,"start_time":"2023-02-15T22:58:36.180894","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<table>\n","    <tr>\n","        <td>\n","            <table>\n","                <thead>\n","                    <tr>\n","                        <td> </td>\n","                        <th> Array </th>\n","                        <th> Chunk </th>\n","                    </tr>\n","                </thead>\n","                <tbody>\n","                    \n","                    <tr>\n","                        <th> Bytes </th>\n","                        <td> 8 B </td>\n","                        <td> 8.0 B </td>\n","                    </tr>\n","                    \n","                    <tr>\n","                        <th> Shape </th>\n","                        <td> () </td>\n","                        <td> () </td>\n","                    </tr>\n","                    <tr>\n","                        <th> Count </th>\n","                        <td> 65 Tasks </td>\n","                        <td> 1 Chunks </td>\n","                    </tr>\n","                    <tr>\n","                    <th> Type </th>\n","                    <td> float64 </td>\n","                    <td> numpy.ndarray </td>\n","                    </tr>\n","                </tbody>\n","            </table>\n","        </td>\n","        <td>\n","        \n","        </td>\n","    </tr>\n","</table>"],"text/plain":["dask.array<sum-aggregate, shape=(), dtype=float64, chunksize=(), chunktype=numpy.ndarray>"]},"execution_count":57,"metadata":{},"output_type":"execute_result"}],"source":["result = (x + x.T).sum()\n","result"]},{"cell_type":"code","execution_count":58,"id":"3cf739de","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:58:36.285697Z","iopub.status.busy":"2023-02-15T22:58:36.28473Z","iopub.status.idle":"2023-02-15T22:58:36.940934Z","shell.execute_reply":"2023-02-15T22:58:36.939028Z"},"papermill":{"duration":0.690451,"end_time":"2023-02-15T22:58:36.947964","exception":false,"start_time":"2023-02-15T22:58:36.257513","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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\n","text/plain":["<IPython.core.display.Image object>"]},"execution_count":58,"metadata":{},"output_type":"execute_result"}],"source":["result.visualize()"]},{"cell_type":"code","execution_count":59,"id":"d414c944","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:58:37.018347Z","iopub.status.busy":"2023-02-15T22:58:37.017898Z","iopub.status.idle":"2023-02-15T22:58:37.154057Z","shell.execute_reply":"2023-02-15T22:58:37.153034Z"},"papermill":{"duration":0.175198,"end_time":"2023-02-15T22:58:37.156654","exception":false,"start_time":"2023-02-15T22:58:36.981456","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["227.5306285706584"]},"execution_count":59,"metadata":{},"output_type":"execute_result"}],"source":["result.compute()"]},{"cell_type":"code","execution_count":60,"id":"ea7b5d3f","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:58:37.230396Z","iopub.status.busy":"2023-02-15T22:58:37.229984Z","iopub.status.idle":"2023-02-15T22:58:37.247908Z","shell.execute_reply":"2023-02-15T22:58:37.247041Z"},"papermill":{"duration":0.057785,"end_time":"2023-02-15T22:58:37.250212","exception":false,"start_time":"2023-02-15T22:58:37.192427","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<table>\n","    <tr>\n","        <td>\n","            <table>\n","                <thead>\n","                    <tr>\n","                        <td> </td>\n","                        <th> Array </th>\n","                        <th> Chunk </th>\n","                    </tr>\n","                </thead>\n","                <tbody>\n","                    \n","                    <tr>\n","                        <th> Bytes </th>\n","                        <td> 2.98 GiB </td>\n","                        <td> 30.52 MiB </td>\n","                    </tr>\n","                    \n","                    <tr>\n","                        <th> Shape </th>\n","                        <td> (20000, 20000) </td>\n","                        <td> (2000, 2000) </td>\n","                    </tr>\n","                    <tr>\n","                        <th> Count </th>\n","                        <td> 100 Tasks </td>\n","                        <td> 100 Chunks </td>\n","                    </tr>\n","                    <tr>\n","                    <th> Type </th>\n","                    <td> float64 </td>\n","                    <td> numpy.ndarray </td>\n","                    </tr>\n","                </tbody>\n","            </table>\n","        </td>\n","        <td>\n","        <svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n","\n","  <!-- Horizontal lines -->\n","  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n","  <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n","  <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n","  <line x1=\"0\" y1=\"36\" x2=\"120\" y2=\"36\" />\n","  <line x1=\"0\" y1=\"48\" x2=\"120\" y2=\"48\" />\n","  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n","  <line x1=\"0\" y1=\"72\" x2=\"120\" y2=\"72\" />\n","  <line x1=\"0\" y1=\"84\" x2=\"120\" y2=\"84\" />\n","  <line x1=\"0\" y1=\"96\" x2=\"120\" y2=\"96\" />\n","  <line x1=\"0\" y1=\"108\" x2=\"120\" y2=\"108\" />\n","  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n","\n","  <!-- Vertical lines -->\n","  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n","  <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"120\" />\n","  <line x1=\"24\" y1=\"0\" x2=\"24\" y2=\"120\" />\n","  <line x1=\"36\" y1=\"0\" x2=\"36\" y2=\"120\" />\n","  <line x1=\"48\" y1=\"0\" x2=\"48\" y2=\"120\" />\n","  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"120\" />\n","  <line x1=\"72\" y1=\"0\" x2=\"72\" y2=\"120\" />\n","  <line x1=\"84\" y1=\"0\" x2=\"84\" y2=\"120\" />\n","  <line x1=\"96\" y1=\"0\" x2=\"96\" y2=\"120\" />\n","  <line x1=\"108\" y1=\"0\" x2=\"108\" y2=\"120\" />\n","  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n","\n","  <!-- Colored Rectangle -->\n","  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n","\n","  <!-- Text -->\n","  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >20000</text>\n","  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">20000</text>\n","</svg>\n","        </td>\n","    </tr>\n","</table>"],"text/plain":["dask.array<random_sample, shape=(20000, 20000), dtype=float64, chunksize=(2000, 2000), chunktype=numpy.ndarray>"]},"execution_count":60,"metadata":{},"output_type":"execute_result"}],"source":["x = da.random.random(size=(20_000, 20_000), chunks=(2_000, 2_000))\n","x"]},{"cell_type":"code","execution_count":61,"id":"d98bff1d","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:58:37.324306Z","iopub.status.busy":"2023-02-15T22:58:37.323866Z","iopub.status.idle":"2023-02-15T22:58:37.34272Z","shell.execute_reply":"2023-02-15T22:58:37.341573Z"},"papermill":{"duration":0.058444,"end_time":"2023-02-15T22:58:37.344969","exception":false,"start_time":"2023-02-15T22:58:37.286525","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<table>\n","    <tr>\n","        <td>\n","            <table>\n","                <thead>\n","                    <tr>\n","                        <td> </td>\n","                        <th> Array </th>\n","                        <th> Chunk </th>\n","                    </tr>\n","                </thead>\n","                <tbody>\n","                    \n","                    <tr>\n","                        <th> Bytes </th>\n","                        <td> 8 B </td>\n","                        <td> 8.0 B </td>\n","                    </tr>\n","                    \n","                    <tr>\n","                        <th> Shape </th>\n","                        <td> () </td>\n","                        <td> () </td>\n","                    </tr>\n","                    <tr>\n","                        <th> Count </th>\n","                        <td> 439 Tasks </td>\n","                        <td> 1 Chunks </td>\n","                    </tr>\n","                    <tr>\n","                    <th> Type </th>\n","                    <td> float64 </td>\n","                    <td> numpy.ndarray </td>\n","                    </tr>\n","                </tbody>\n","            </table>\n","        </td>\n","        <td>\n","        \n","        </td>\n","    </tr>\n","</table>"],"text/plain":["dask.array<sum-aggregate, shape=(), dtype=float64, chunksize=(), chunktype=numpy.ndarray>"]},"execution_count":61,"metadata":{},"output_type":"execute_result"}],"source":["result = (x + x.T).sum()\n","result"]},{"cell_type":"code","execution_count":62,"id":"2afc254b","metadata":{"execution":{"iopub.execute_input":"2023-02-15T22:58:37.421501Z","iopub.status.busy":"2023-02-15T22:58:37.421031Z","iopub.status.idle":"2023-02-15T22:58:40.7515Z","shell.execute_reply":"2023-02-15T22:58:40.750486Z"},"papermill":{"duration":3.370711,"end_time":"2023-02-15T22:58:40.754442","exception":false,"start_time":"2023-02-15T22:58:37.383731","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["399994619.01002246"]},"execution_count":62,"metadata":{},"output_type":"execute_result"}],"source":["result.compute()"]},{"cell_type":"code","execution_count":null,"id":"1b0a16fd","metadata":{"papermill":{"duration":0.038408,"end_time":"2023-02-15T22:58:40.828646","exception":false,"start_time":"2023-02-15T22:58:40.790238","status":"completed"},"tags":[]},"outputs":[],"source":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.7.12"},"papermill":{"default_parameters":{},"duration":732.074005,"end_time":"2023-02-15T22:58:43.485611","environment_variables":{},"exception":null,"input_path":"__notebook__.ipynb","output_path":"__notebook__.ipynb","parameters":{},"start_time":"2023-02-15T22:46:31.411606","version":"2.3.4"}},"nbformat":4,"nbformat_minor":5}