polars_0-20-22_cell_alignment_display.ipynb

polars_0-20-22_cell_alignment_display.ipynb

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  "metadata": {
    "colab": {
      "provenance": [],
      "toc_visible": true,
      "authorship_tag": "ABX9TyMRgs+cM6ip+4GkPOasa6zk",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/lisphilar/1d0d45946a8b583f999cd06d46bad561/polars_0-20-22_cell_alignment_display.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install polars -U"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5aJNaFi5_ZIO",
        "outputId": "7e32446a-793d-4f9f-87f7-4cb69593becd"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: polars in /usr/local/lib/python3.10/dist-packages (0.20.2)\n",
            "Collecting polars\n",
            "  Downloading polars-0.20.22-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (27.4 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m27.4/27.4 MB\u001b[0m \u001b[31m14.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: polars\n",
            "  Attempting uninstall: polars\n",
            "    Found existing installation: polars 0.20.2\n",
            "    Uninstalling polars-0.20.2:\n",
            "      Successfully uninstalled polars-0.20.2\n",
            "Successfully installed polars-0.20.22\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from datetime import date\n",
        "import polars as pl"
      ],
      "metadata": {
        "id": "w78pfSbW_ZIO"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df = pl.DataFrame(\n",
        "    {\n",
        "        \"long_words\": [\"Hollo Word!\", \"Thank you!\", \"Blazingly fast DataFrame!!\"],\n",
        "        \"column_abc\": [1.0, 2.5, 5.0],\n",
        "        \"column_xyz\": [True, False, True],\n",
        "        \"abc\": [11, 2, 333],\n",
        "        \"mno\": [date(2023, 10, 29), None, date(2001, 7, 5)],\n",
        "        \"xyz\": [True, False, None],\n",
        "    }\n",
        ")"
      ],
      "metadata": {
        "id": "euRA_zzD_ZIO"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pl.Config.set_tbl_cell_alignment(\"LEFT\")\n",
        "pl.Config.set_tbl_cell_numeric_alignment(\"LEFT\")\n",
        "_ = pl.Config.set_fmt_str_lengths(50)"
      ],
      "metadata": {
        "id": "r0edWr4Q_ZIO"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b5c7a778-0fea-4bdc-b0e9-ec2cf49bb6b2",
        "id": "VKZULLNY_ZIO"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "shape: (3, 6)\n",
            "┌────────────────────────────┬────────────┬────────────┬─────┬────────────┬───────┐\n",
            "│ long_words                 ┆ column_abc ┆ column_xyz ┆ abc ┆ mno        ┆ xyz   │\n",
            "│ ---                        ┆ ---        ┆ ---        ┆ --- ┆ ---        ┆ ---   │\n",
            "│ str                        ┆ f64        ┆ bool       ┆ i64 ┆ date       ┆ bool  │\n",
            "╞════════════════════════════╪════════════╪════════════╪═════╪════════════╪═══════╡\n",
            "│ Hollo Word!                ┆ 1.0        ┆ true       ┆ 11  ┆ 2023-10-29 ┆ true  │\n",
            "│ Thank you!                 ┆ 2.5        ┆ false      ┆ 2   ┆ null       ┆ false │\n",
            "│ Blazingly fast DataFrame!! ┆ 5.0        ┆ true       ┆ 333 ┆ 2001-07-05 ┆ null  │\n",
            "└────────────────────────────┴────────────┴────────────┴─────┴────────────┴───────┘\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "display(df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 192
        },
        "outputId": "9cf38960-6fd4-42fa-db0b-914ee7a40289",
        "id": "gKXaf4VV_ZIO"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "shape: (3, 6)\n",
              "┌────────────────────────────┬────────────┬────────────┬─────┬────────────┬───────┐\n",
              "│ long_words                 ┆ column_abc ┆ column_xyz ┆ abc ┆ mno        ┆ xyz   │\n",
              "│ ---                        ┆ ---        ┆ ---        ┆ --- ┆ ---        ┆ ---   │\n",
              "│ str                        ┆ f64        ┆ bool       ┆ i64 ┆ date       ┆ bool  │\n",
              "╞════════════════════════════╪════════════╪════════════╪═════╪════════════╪═══════╡\n",
              "│ Hollo Word!                ┆ 1.0        ┆ true       ┆ 11  ┆ 2023-10-29 ┆ true  │\n",
              "│ Thank you!                 ┆ 2.5        ┆ false      ┆ 2   ┆ null       ┆ false │\n",
              "│ Blazingly fast DataFrame!! ┆ 5.0        ┆ true       ┆ 333 ┆ 2001-07-05 ┆ null  │\n",
              "└────────────────────────────┴────────────┴────────────┴─────┴────────────┴───────┘"
            ],
            "text/html": [
              "<div><style>\n",
              ".dataframe > thead > tr,\n",
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              "</style>\n",
              "<small>shape: (3, 6)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>long_words</th><th>column_abc</th><th>column_xyz</th><th>abc</th><th>mno</th><th>xyz</th></tr><tr><td>str</td><td>f64</td><td>bool</td><td>i64</td><td>date</td><td>bool</td></tr></thead><tbody><tr><td>&quot;Hollo Word!&quot;</td><td>1.0</td><td>true</td><td>11</td><td>2023-10-29</td><td>true</td></tr><tr><td>&quot;Thank you!&quot;</td><td>2.5</td><td>false</td><td>2</td><td>null</td><td>false</td></tr><tr><td>&quot;Blazingly fast DataFrame!!&quot;</td><td>5.0</td><td>true</td><td>333</td><td>2001-07-05</td><td>null</td></tr></tbody></table></div>"
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}