{ "cells": [ { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import pandas as pd\n", "\n", "df = pd.DataFrame({\n", " 'name': ['alice','bob','charlie','daniel'],\n", " 'age': [25,66,56,78]\n", "})[['name','age']]" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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nameage
0alice25
1bob66
2charlie56
3daniel78
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" ], "text/plain": [ " name age\n", "0 alice 25\n", "1 bob 66\n", "2 charlie 56\n", "3 daniel 78" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[['name','age']]" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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nameageis_senior
0alice25False
1bob66True
2charlie56False
3daniel78True
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" ], "text/plain": [ " name age is_senior\n", "0 alice 25 False\n", "1 bob 66 True\n", "2 charlie 56 False\n", "3 daniel 78 True" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.assign(\n", " is_senior = lambda dataframe: dataframe['age'].map(lambda age: True if age >= 65 else False) \n", ")" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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nameageis_seniorname_uppercasename_uppercase_double
0alice25FalseALICEALICE-ALICE
1bob66TrueBOBBOB-BOB
2charlie56FalseCHARLIECHARLIE-CHARLIE
3daniel78TrueDANIELDANIEL-DANIEL
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" ], "text/plain": [ " name age is_senior name_uppercase name_uppercase_double\n", "0 alice 25 False ALICE ALICE-ALICE\n", "1 bob 66 True BOB BOB-BOB\n", "2 charlie 56 False CHARLIE CHARLIE-CHARLIE\n", "3 daniel 78 True DANIEL DANIEL-DANIEL" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.assign(\n", " is_senior = lambda dataframe: dataframe['age'].map(lambda age: True if age >= 65 else False) \n", ").assign(\n", " name_uppercase = lambda dataframe: dataframe['name'].map(lambda name: name.upper()),\n", ").assign(\n", " name_uppercase_double = lambda dataframe: dataframe['name_uppercase'].map(lambda name: name.upper()+\"-\"+name.upper())\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Global TF Kernel (Python 3)", "language": "python", "name": "global-tf-python-3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.5.2" } }, "nbformat": 4, "nbformat_minor": 2 }