Python |从一组等长列表中创建熊猫数据框
原文:https://www . geesforgeks . org/python-create-a-pandas-data frame-from-a-dict-of-a-等长列表/
给定一个等长列表的字典，任务是从中创建一个熊猫数据帧。
在熊猫中创建数据帧有多种方法。一种方法是转换包含长度相等的值列表的字典。让我们通过例子来讨论如何从一组等长的列表中创建熊猫数据帧。
示例#1: 给定一个字典，该字典包含板球格式为键和前五名球队列表为值。
# Import pandas package
import pandas as pd
# Define a dictionary containing ICC rankings
rankings = {'test': ['India', 'South Africa', 'England',
'New Zealand', 'Australia'],
'odi': ['England', 'India', 'New Zealand',
'South Africa', 'Pakistan'],
't20': ['Pakistan', 'India', 'Australia',
'England', 'New Zealand']}
# Convert the dictionary into DataFrame
rankings_pd = pd.DataFrame(rankings)
# Increment the index so that index
# starts at 1 (starts at 0 by default)
rankings_pd.index += 1
rankings_pd
输出:
例 2: 给出了三个列表test_batsmen、odi_batsmen、t20_batsmen。所以我们首先需要把这个数据转换成字典，然后把字典转换成 DataFrame。
# Import pandas package
import pandas as pd
# Lists of top 5 batsmen for each format
test_batsmen = ['Virat Kohli', 'Steve Smith', 'Kane Williamson',
'Joe Root', 'David Warner']
odi_batsmen = ['Virat Kohli', 'Rohit Sharma', 'Joe Root',
'David Warner', 'Babar Azam']
t20_batsmen = ['Babar Azam', 'Aaron Finch', 'Colin Munro',
'Lokesh Rahul', 'Fakhar Zaman']
# Define a dictionary containing ICC rankings for batsmen
rankings_batsmen = {'test': test_batsmen,
'odi': odi_batsmen,
't20': t20_batsmen}
# Convert the dictionary into DataFrame
rankings_batsmen_pd = pd.DataFrame(rankings_batsmen)
# Increment the index so that index
# starts at 1 (starts at 0 by default)
rankings_batsmen_pd.index += 1
rankings_batsmen_pd
输出:
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