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Comparison of both xl_col_to_name functions
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{ | |
"nbformat": 4, | |
"nbformat_minor": 0, | |
"metadata": { | |
"colab": { | |
"name": "Comparison of both xl_col_to_name functions", | |
"provenance": [], | |
"collapsed_sections": [], | |
"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/agriyakhetarpal/56b75bccdf8588f2c1d098fbe6079a97/comparison-of-both-xl_col_to_name-functions.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "eTq0z2cgIJGM" | |
}, | |
"source": [ | |
"# Updated xl_col_to_name function (my code)\n", | |
"\n", | |
"def xl_col_to_name(col, col_abs=False):\n", | |
" \"\"\"\n", | |
" Convert a zero indexed column cell reference to a string.\n", | |
"\n", | |
" Args:\n", | |
" col: The cell column. Int.\n", | |
" col_abs: Optional flag to make the column absolute. Bool.\n", | |
"\n", | |
" Returns:\n", | |
" Column style string.\n", | |
"\n", | |
" \"\"\"\n", | |
" alphabets = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'\n", | |
" col_num = col\n", | |
" if col_num < 0:\n", | |
" warn(\"Col number %d must be >= 0\" % col_num)\n", | |
" return None\n", | |
" \n", | |
" col_abs = '$' if col_abs else ''\n", | |
"\n", | |
" # Return the alphabet if the index is less than 26\n", | |
" if col_num < 26:\n", | |
" return col_abs + alphabets[col_num]\n", | |
"\n", | |
" # If index is greater than or equal to 26\n", | |
" else:\n", | |
" # Store the quotient and the remainder in a tuple via the divmod() method\n", | |
" index = divmod(col_num, 26)\n", | |
"\n", | |
" # If remainder is 0\n", | |
" if index[1] == 0:\n", | |
" # If quotient equals 1, return the alphabet \n", | |
" if index[0] == 1:\n", | |
" return col_abs + alphabets[index[0] - 1] + alphabets[index[1]]\n", | |
" else:\n", | |
" # If the quotient > 1 then use recursive relation\n", | |
" return col_abs + xl_col_to_name(index[0] - 1) + alphabets[index[1]]\n", | |
" \n", | |
" # If remainder is not 0 \n", | |
" else:\n", | |
" return col_abs + xl_col_to_name(index[0] - 1) + alphabets[index[1]]" | |
], | |
"execution_count": 1, | |
"outputs": [] | |
}, | |
{ | |
"cell_type": "code", | |
"source": [ | |
"%timeit -r 5 -n 100 [xl_col_to_name(i) for i in range(10000)]" | |
], | |
"metadata": { | |
"colab": { | |
"base_uri": "https://localhost:8080/" | |
}, | |
"id": "CwO-xh1UsJ7c", | |
"outputId": "9fe61a58-047d-4bd3-c180-6dcbd1143ca0" | |
}, | |
"execution_count": 2, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"name": "stdout", | |
"text": [ | |
"100 loops, best of 5: 12.4 ms per loop\n" | |
] | |
} | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"source": [ | |
"!pip install xlsxwriter\n", | |
"from xlsxwriter.utility import xl_col_to_name\n", | |
"\n", | |
"%timeit -r 5 -n 100 [xl_col_to_name(i) for i in range(10000)]" | |
], | |
"metadata": { | |
"colab": { | |
"base_uri": "https://localhost:8080/" | |
}, | |
"id": "zrAUoSUBZzrP", | |
"outputId": "7f8058af-848f-45ea-c9ff-084e391e6586" | |
}, | |
"execution_count": 3, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"name": "stdout", | |
"text": [ | |
"Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n", | |
"Collecting xlsxwriter\n", | |
" Downloading XlsxWriter-3.0.3-py3-none-any.whl (149 kB)\n", | |
"\u001b[K |████████████████████████████████| 149 kB 31.1 MB/s \n", | |
"\u001b[?25hInstalling collected packages: xlsxwriter\n", | |
"Successfully installed xlsxwriter-3.0.3\n", | |
"100 loops, best of 5: 17 ms per loop\n" | |
] | |
} | |
] | |
} | |
] | |
} |
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