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Keep on updating mergeview.ts and style.
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,39 @@ | ||
| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "eabfe4e0-d646-4d09-95a4-09ee3d030db6", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "from matplotlib import pyplot as plt\n", | ||
| "import numpy as np\n", | ||
| "x = np.arange(0, 2, 0.1)\n", | ||
| "y1 = np.exp(x)\n", | ||
| "plt.plot(x, y1, 'b')" | ||
| ] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "Python 3 (ipykernel)", | ||
| "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": "3.11.3" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 5 | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,40 @@ | ||
| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "2d47bfe2-d91d-4f72-9426-1885c4edb5a9", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "from matplotlib import pyplot as plt\n", | ||
| "import numpy as np\n", | ||
| "x = np.linspace(0, 2, 10)\n", | ||
| "z = np.exp(x + 2)\n", | ||
| "plt.plot(x, z, 'c')\n", | ||
| "# this is an example" | ||
| ] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "Python 3 (ipykernel)", | ||
| "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": "3.11.3" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 5 | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,42 @@ | ||
| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "ff160690-22c8-48f3-9b89-d78a8997baec", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "from matplotlib import pyplot as plt\n", | ||
| "import numpy as np\n", | ||
| "x = np.arange(0, 2, 0.1)\n", | ||
| "y2 = np.exp(x)\n", | ||
| "plt.plot(x, y2, 'b')\n", | ||
| "y1 = y2\n", | ||
| "plt.plot(x, y1, 'g')\n", | ||
| "# this is easy" | ||
| ] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "Python 3 (ipykernel)", | ||
| "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": "3.11.3" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 5 | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,65 @@ | ||
| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "9e423ee0-5ba3-4792-8b16-b20fe7a775e3", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "import pandas as pd # programmers like shortening names for things, so they usually import pandas as \"pd\"\n", | ||
| "import altair as alt # again with the shortening of names\n", | ||
| "import requests # we use it for downloading the data so we don't have to save it on GitHub (too big!)\n", | ||
| "import zipfile # for de-compressing the files we download from the EPA" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "08e85e68-1722-4847-a13f-97c921829073", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "# Download the data from the EPA website\n", | ||
| "data_file_urls = [\n", | ||
| " 'https://aqs.epa.gov/aqsweb/airdata/daily_88101_2020.zip',\n", | ||
| " 'https://aqs.epa.gov/aqsweb/airdata/daily_88101_2019.zip',\n", | ||
| "]\n", | ||
| "# copied this example from https://stackoverflow.com/questions/16694907/download-large-file-in-python-with-requests\n", | ||
| "for url in data_file_urls:\n", | ||
| " local_filename = \"data/{}\".format(url.split('/')[-1])\n", | ||
| " with requests.get(url, stream=True) as r:\n", | ||
| " r.raise_for_status()\n", | ||
| " with open(local_filename, 'wb') as f:\n", | ||
| " for chunk in r.iter_content(chunk_size=8192): \n", | ||
| " f.write(chunk)\n", | ||
| "# and unzip the files\n", | ||
| "files_to_unzip = [\"data/{}\".format(url.split('/')[-1]) for url in data_file_urls]\n", | ||
| "for f in files_to_unzip:\n", | ||
| " with zipfile.ZipFile(f,\"r\") as zip_ref:\n", | ||
| " zip_ref.extractall(\"data\")" | ||
| ] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "Python 3 (ipykernel)", | ||
| "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": "3.11.4" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 5 | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,67 @@ | ||
| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "9e423ee0-5ba3-4792-8b16-b20fe7a775e3", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "import pandas as pd # programmers like shortening names for things, so they usually import pandas as \"pd\"\n", | ||
| "import altair as alt # again with the shortening of names\n", | ||
| "import requests # we use it for downloading the data so we don't have to save it on GitHub (too big!)\n", | ||
| "import zipfile # for de-compressing the files we download from the EPA\n", | ||
| "import numpy as np" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "08e85e68-1722-4847-a13f-97c921829073", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "# Download the data from the EPA website\n", | ||
| "data_file_urls = [\n", | ||
| " 'https://aqs.epa.gov/aqsweb/airdata/daily_88101_2020.zip',\n", | ||
| " 'https://aqs.epa.gov/aqsweb/airdata/daily_88101_2019.zip',\n", | ||
| " 'https://aqs.epa.gov/aqsweb/airdata/daily_88101_2018.zip'\n", | ||
| "]\n", | ||
| "# copied this example from https://stackoverflow.com/questions/16694907/download-large-file-in-python-with-requests\n", | ||
| "for url in data_file_urls:\n", | ||
| " local_filename = \"data/{}\".format(url.split('/')[-1])\n", | ||
| " with requests.get(url, stream=True) as r:\n", | ||
| " r.raise_for_status()\n", | ||
| " with open(local_filename, 'wb') as f:\n", | ||
| " for chunk in r.iter_content(chunk_size=8192): \n", | ||
| " f.write(chunk)\n", | ||
| "# and unzip the files\n", | ||
| "files_to_unzip = [\"data/{}\".format(url.split('/')[-1]) for url in data_file_urls]\n", | ||
| "for f in files_to_unzip:\n", | ||
| " with zipfile.ZipFile(f,\"r\") as zip_ref:\n", | ||
| " zip_ref.extractall(\"data\")" | ||
| ] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "Python 3 (ipykernel)", | ||
| "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": "3.11.4" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 5 | ||
| } |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,60 @@ | ||
| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "9e423ee0-5ba3-4792-8b16-b20fe7a775e3", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "import pandas as pd # programmers like shortening names for things, so they usually import pandas as \"pd\"\n", | ||
| "import superior as sup # again with the shortening of names\n", | ||
| "import requests # we use it for downloading the data so we don't have to save it on GitHub (too big!)\n", | ||
| "import tarfile # for de-compressing the files we download from the EPA" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "08e85e68-1722-4847-a13f-97c921829073", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "# Download the data from the EPA website\n", | ||
| "data_file_urls = [\n", | ||
| " 'https://aqs.epa.gov/aqsweb/airdata/daily_88101_2017.zip',\n", | ||
| " 'https://aqs.epa.gov/aqsweb/airdata/daily_88101_2018.zip',\n", | ||
| "]\n", | ||
| "# copied this example from https://stackoverflow.com/questions/16694907/download-large-file-in-python-with-requests\n", | ||
| "for url in data_file_urls:\n", | ||
| " local_filename = \"data/{}\".format(url.split('/')[-1])\n", | ||
| " with requests.get(url, stream=True) as r:\n", | ||
| " r.raise_for_status()\n", | ||
| " with open(local_filename, 'r') as f:\n", | ||
| " for chunk in r.iter_content(chunk_size=8192): \n", | ||
| " f.write(chunk)" | ||
| ] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "Python 3 (ipykernel)", | ||
| "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": "3.11.4" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 5 | ||
| } |
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