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  • pandas Series转DataFrame

     1 #encoding=utf-8
     2 import numpy as np
     3 import pandas as pd
     4 df = pd.DataFrame(
     5      [
     6          ("bird", "Falconiformes", 389.0),
     7         ("bird", "Psittaciformes", 24.0),
     8          ("mammal", "Carnivora", 80.2),
     9          ("mammal", "Primates", np.nan),
    10        ("mammal", "Carnivora", 58),
    11      ],
    12      index=["falcon", "parrot", "lion", "monkey", "leopard"],
    13     columns=("class", "order", "max_speed"),
    14    )
    15 df.groupby(by=['class','order'])['max_speed'].count().rename('speed').to_frame().reset_index()

      第15行 groupby为使用两个字段分组,count()取分组后max_speed的出现次数,rename重命名Series的列,to_frame将Series转为DataFrame,reset_index重建索引,方便导出到excel

      

     重建索引前后对比  

    RangeIndex(start=0, stop=4, step=1)
    MultiIndex([(  'bird',  'Falconiformes'),
                (  'bird', 'Psittaciformes'),
                ('mammal',      'Carnivora'),
                ('mammal',       'Primates')],
               names=['class', 'order'])
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  • 原文地址:https://www.cnblogs.com/Monkey18/p/14982746.html
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