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July 31, 2019 15:07
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Issue - Index Autoconversion in Series.ipynb
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| { | |
| "nbformat": 4, | |
| "nbformat_minor": 0, | |
| "metadata": { | |
| "colab": { | |
| "name": "Issue - Index Autoconversion in Series.ipynb", | |
| "version": "0.3.2", | |
| "provenance": [], | |
| "collapsed_sections": [], | |
| "include_colab_link": true | |
| }, | |
| "kernelspec": { | |
| "name": "python3", | |
| "display_name": "Python 3" | |
| } | |
| }, | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "view-in-github", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "<a href=\"https://colab.research.google.com/gist/abitrolly/14318e107ea2d41eefe5616aec3d0cb8/issue-index-autoconversion-in-series.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "8qhRs7pSRUAx", | |
| "colab_type": "code", | |
| "outputId": "48e0cf9e-6792-4fdc-96d2-f02cc7962ac4", | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 34 | |
| } | |
| }, | |
| "source": [ | |
| "import pandas as pd\n", | |
| "\n", | |
| "pd.__version__" | |
| ], | |
| "execution_count": 0, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "'0.24.2'" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 4 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "cFscTarSRgY1", | |
| "colab_type": "code", | |
| "outputId": "ccdfa381-d3cc-456b-d968-4c6e4a11d117", | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 121 | |
| } | |
| }, | |
| "source": [ | |
| "base = pd.Series({4:400, 5:500, 6:600, 7:700})\n", | |
| "print(base)\n", | |
| "print(base.index)" | |
| ], | |
| "execution_count": 0, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "4 400\n", | |
| "5 500\n", | |
| "6 600\n", | |
| "7 700\n", | |
| "dtype: int64\n", | |
| "Int64Index([4, 5, 6, 7], dtype='int64')\n" | |
| ], | |
| "name": "stdout" | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "QEOS451obMVz", | |
| "colab_type": "code", | |
| "outputId": "a128a56c-da4d-49f2-c295-679f1200251d", | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 69 | |
| } | |
| }, | |
| "source": [ | |
| "addon = pd.Series({'6': '600'})\n", | |
| "print(addon)\n", | |
| "print(addon.index)" | |
| ], | |
| "execution_count": 0, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "6 600\n", | |
| "dtype: object\n", | |
| "Index(['6'], dtype='object')\n" | |
| ], | |
| "name": "stdout" | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "1Wqq4uy-cc2S", | |
| "colab_type": "code", | |
| "outputId": "cd347a84-6653-4377-cc50-386b1b05f987", | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 139 | |
| } | |
| }, | |
| "source": [ | |
| "merged = base.append(addon, verify_integrity=True)\n", | |
| "print(merged)\n", | |
| "print(merged.index)" | |
| ], | |
| "execution_count": 0, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "4 400\n", | |
| "5 500\n", | |
| "6 600\n", | |
| "7 700\n", | |
| "6 600\n", | |
| "dtype: object\n", | |
| "Index([4, 5, 6, 7, '6'], dtype='object')\n" | |
| ], | |
| "name": "stdout" | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "T5fGH6xMdbvr", | |
| "colab_type": "code", | |
| "outputId": "58e05c75-a7f8-44bc-93f3-0d181850af48", | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 286 | |
| } | |
| }, | |
| "source": [ | |
| "base.plot()" | |
| ], | |
| "execution_count": 0, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "<matplotlib.axes._subplots.AxesSubplot at 0x7f93d549ea90>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 19 | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "image/png": 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tuP60VgM2EYkQoez5Hw1MMbMJQDOgjZn9zd0vDF4vNrNngN8Gz3OBnlXWTwjm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\nAAAAAElFTkSuQmCC\n", | |
| "text/plain": [ | |
| "<Figure size 432x288 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "490YxcNshBS6", | |
| "colab_type": "code", | |
| "outputId": "c1956f85-bdf0-41bb-fe5b-b9859df23442", | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 313 | |
| } | |
| }, | |
| "source": [ | |
| "merged.plot()" | |
| ], | |
| "execution_count": 0, | |
| "outputs": [ | |
| { | |
| "output_type": "error", | |
| "ename": "TypeError", | |
| "evalue": "ignored", | |
| "traceback": [ | |
| "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", | |
| "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", | |
| "\u001b[0;32m<ipython-input-20-8955a1fd4a87>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmerged\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", | |
| "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, kind, ax, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, label, secondary_y, **kwds)\u001b[0m\n\u001b[1;32m 2740\u001b[0m \u001b[0mcolormap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolormap\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtable\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0myerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0myerr\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2741\u001b[0m \u001b[0mxerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mxerr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecondary_y\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msecondary_y\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2742\u001b[0;31m **kwds)\n\u001b[0m\u001b[1;32m 2743\u001b[0m \u001b[0m__call__\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__doc__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplot_series\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__doc__\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2744\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", | |
| "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36mplot_series\u001b[0;34m(data, kind, ax, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, label, secondary_y, **kwds)\u001b[0m\n\u001b[1;32m 1996\u001b[0m \u001b[0myerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0myerr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mxerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mxerr\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1997\u001b[0m \u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecondary_y\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msecondary_y\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1998\u001b[0;31m **kwds)\n\u001b[0m\u001b[1;32m 1999\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2000\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", | |
| "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m_plot\u001b[0;34m(data, x, y, subplots, ax, kind, **kwds)\u001b[0m\n\u001b[1;32m 1799\u001b[0m \u001b[0mplot_obj\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mklass\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msubplots\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msubplots\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mkind\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1800\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1801\u001b[0;31m \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgenerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1802\u001b[0m \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1803\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", | |
| "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36mgenerate\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 247\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mgenerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 248\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_args_adjust\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 249\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_compute_plot_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 250\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_setup_subplots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 251\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_make_plot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", | |
| "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m_compute_plot_data\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 365\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mis_empty\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 366\u001b[0m raise TypeError('Empty {0!r}: no numeric data to '\n\u001b[0;32m--> 367\u001b[0;31m 'plot'.format(numeric_data.__class__.__name__))\n\u001b[0m\u001b[1;32m 368\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 369\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnumeric_data\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", | |
| "\u001b[0;31mTypeError\u001b[0m: Empty 'DataFrame': no numeric data to plot" | |
| ] | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "AdxAfUKbhI8q", | |
| "colab_type": "code", | |
| "outputId": "4359c94f-7dd9-46ad-fec6-75cb66fdcac8", | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 903 | |
| } | |
| }, | |
| "source": [ | |
| "pd.show_versions()" | |
| ], | |
| "execution_count": 0, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "\n", | |
| "INSTALLED VERSIONS\n", | |
| "------------------\n", | |
| "commit: None\n", | |
| "python: 3.6.8.final.0\n", | |
| "python-bits: 64\n", | |
| "OS: Linux\n", | |
| "OS-release: 4.14.79+\n", | |
| "machine: x86_64\n", | |
| "processor: x86_64\n", | |
| "byteorder: little\n", | |
| "LC_ALL: None\n", | |
| "LANG: en_US.UTF-8\n", | |
| "LOCALE: en_US.UTF-8\n", | |
| "\n", | |
| "pandas: 0.24.2\n", | |
| "pytest: 3.6.4\n", | |
| "pip: 19.1.1\n", | |
| "setuptools: 41.0.1\n", | |
| "Cython: 0.29.12\n", | |
| "numpy: 1.16.4\n", | |
| "scipy: 1.3.0\n", | |
| "pyarrow: 0.14.0\n", | |
| "xarray: 0.11.3\n", | |
| "IPython: 5.5.0\n", | |
| "sphinx: 1.8.5\n", | |
| "patsy: 0.5.1\n", | |
| "dateutil: 2.5.3\n", | |
| "pytz: 2018.9\n", | |
| "blosc: None\n", | |
| "bottleneck: 1.2.1\n", | |
| "tables: 3.4.4\n", | |
| "numexpr: 2.6.9\n", | |
| "feather: 0.4.0\n", | |
| "matplotlib: 3.0.3\n", | |
| "openpyxl: 2.5.9\n", | |
| "xlrd: 1.1.0\n", | |
| "xlwt: 1.3.0\n", | |
| "xlsxwriter: None\n", | |
| "lxml.etree: 4.2.6\n", | |
| "bs4: 4.6.3\n", | |
| "html5lib: 1.0.1\n", | |
| "sqlalchemy: 1.3.5\n", | |
| "pymysql: None\n", | |
| "psycopg2: 2.7.6.1 (dt dec pq3 ext lo64)\n", | |
| "jinja2: 2.10.1\n", | |
| "s3fs: 0.3.0\n", | |
| "fastparquet: None\n", | |
| "pandas_gbq: 0.4.1\n", | |
| "pandas_datareader: 0.7.0\n", | |
| "gcsfs: None\n" | |
| ], | |
| "name": "stdout" | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "kCUt8UTLh-Cz", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "" | |
| ], | |
| "execution_count": 0, | |
| "outputs": [] | |
| } | |
| ] | |
| } |
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