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May 2, 2020 22:59
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Untitled2.ipynb
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| { | |
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| "metadata": { | |
| "colab": { | |
| "name": "Untitled2.ipynb", | |
| "provenance": [], | |
| "authorship_tag": "ABX9TyNZa6SjcCM9GLoH38tWRZKA", | |
| "include_colab_link": true | |
| }, | |
| "kernelspec": { | |
| "name": "python3", | |
| "display_name": "Python 3" | |
| } | |
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| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "view-in-github", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "<a href=\"https://colab.research.google.com/gist/akinomaeni/1b6909a39006d82bc36b0f60d024fdc9/untitled2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
| ] | |
| }, | |
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| "id": "3CxxhUlkmXYc", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "import pandas as pd\n", | |
| "\n", | |
| "df = pd.DataFrame({\"A\": [1, 2], \"B\": [0, 2], \"C\": [0, 0]})" | |
| ], | |
| "execution_count": 0, | |
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| "df" | |
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| "execution_count": 2, | |
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| "A True\n", | |
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