Python中可以使用tolist()方法将Pandas的列(Series)转换为列表。 具体操作如下: 代码语言:txt 复制 import pandas as pd # 创建一个DataFrame data = {'col1': [1, 2, 3, 4, 5], 'col2': ['a', 'b', 'c', 'd', 'e']} df = pd.DataFrame(data) # 将col1列转换为列表 col1_list = ...
Try IMDbPro Premium for free Panda(XX) Edit pageAdd to list Track Actor Overview Credits About Images Videos Box Office Network Clients News Credits 1 title Past Television(1 title)Episodes Panda Fuck(2011–2013) (TV Series)-Actor(10 episodes, 2011) ...
Series是类似于Python列表的容器对象,实际上可以通过使用Series.tolist方法转换为list。
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Panda (XVIII) Edit page Add to list Track ActorOverview Credits About Images Videos Box Office Network Clients News Credits 1 title Past Film & Video (1 title) Budget Opening Weekend Gross (US & Canada) Gross (Worldwide) Ayanna Shon's Blood or Not the Series (2020) (...
col_name=df1.columns.tolist() # 将数据框的列名全部提取出来存放在列表里 print(col_name) col_name.insert(2,'city') # 在列索引为2的位置插入一列,列名为:city,刚插入时不会有值,整列都是NaN df1=df1.reindex(columns=col_name) # DataFrame.reindex() 对原行/列索引重新构建索引值 ...
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创建一个包含字符串的DataFrame,可以使用pandas的Series数据类型: 代码语言:txt 复制 data = pd.Series(['column1,column2,column3']) 使用字符串的split方法将字符串拆分成多个列名,并创建一个新的DataFrame: 代码语言:txt 复制 df = pd.DataFrame(data.str.split(',').tolist()) ...
pd.Series.copy(self, deep=True) 数组的拷贝,默认为深拷贝。 import pandas as pd import numpy as np a = pd.Series(np.arange(1,5), index=list('abcd')) b = a.copy() c = a.copy(deep=False) a['a'] = 10 print(a) #10, 2, 3, 4 ...
series to list print(series_1.to_list()) print('='*70) # list to series print(pd.Series(...