首先,让我们创建一个嵌套字典 -
dictNested = {'Cricket': {'Boards': ['BCCI', 'CA', 'ECB'],'Country': ['India', 'Australia', 'England']},'Football': {'Boards': ['TFA', 'TCSA', 'GFA'],'Country': ['England', 'Canada', 'Germany'] }}
现在,创建一个空字典 -
new_dict = {}
现在,循环分配值 -
for outerKey, innerDict in dictNested.items(): for innerKey, values in innerDict.items(): new_dict[(outerKey, innerKey)] = values
转换为多索引数据帧 -
pd.DataFrame(new_dict)
以下是代码 -
import pandas as pd # 创建嵌套字典 dictNested = {'Cricket': {'Boards': ['BCCI', 'CA', 'ECB'],'Country': ['India', 'Australia', 'England']},'Football': {'Boards': ['TFA', 'TCSA', 'GFA'],'Country': ['England', 'Canada', 'Germany'] }} print"\nNested Dictionary...\n",dictNested new_dict = {} for outerKey, innerDict in dictNested.items(): for innerKey, values in innerDict.items(): new_dict[(outerKey, innerKey)] = values # 转换为多索引数据帧 print"\nMulti-index DataFrame...\n",pd.DataFrame(new_dict)输出结果
这将产生以下输出 -
Nested Dictionary... {'Cricket': {'Country': ['India', 'Australia', 'England'], 'Boards': ['BCCI', 'CA', 'ECB']}, 'Football': {'Country': ['England', 'Canada', 'Germany'], 'Boards': ['TFA', 'TCSA', 'GFA']}} Multi-index DataFrame... Cricket Football Boards Country Boards Country 0 BCCI India TFA England 1 CA Australia TCSA Canada 2 ECB England GFA Germany