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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 +1,39 @@ | ||
| { | ||
| "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.arange(0, 2, 0.1)\n", | ||
| "y = np.exp(x)\n", | ||
| "plt.plot(x, y, '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 +1,41 @@ | ||
| { | ||
| "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')" | ||
| ] | ||
| } | ||
| ], | ||
| "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 | ||
| } |
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 +1,65 @@ | ||
| { | ||
| "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 | ||
| } |
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 +1,67 @@ | ||
| { | ||
| "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.
Learn more about bidirectional Unicode characters
| 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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