pandas 如何用熊猫中的变量命名数据框
声明：本页面是StackOverFlow热门问题的中英对照翻译，遵循CC BY-SA 4.0协议，如果您需要使用它，必须同样遵循CC BY-SA许可，注明原文地址和作者信息，同时你必须将它归于原作者（不是我）：StackOverFlow
原文地址: http://stackoverflow.com/questions/40482738/
Warning: these are provided under cc-by-sa 4.0 license. You are free to use/share it, But you must attribute it to the original authors (not me):
StackOverFlow
How to name dataframe with variables in pandas
提问by Taro Nikkei
Is there a way to generate multiple DataFramesin Pandas?
I want to name the DataFrameswith variables like:
有没有办法DataFrames在 Pandas 中生成多个？我想将DataFrames变量命名为：
for i in range 1 to 100
dfi in dfs
df1=
df2=
df3=
:
:
:
df99=
df100=
回答by jezrael
I think you can use dict comprehension:
我认为你可以使用dict comprehension：
N = 101 # 5 in sample
dfs = {'name' + str(i):df for i in range(1,N)}
print (dfs)
Sample:
样本：
df = pd.DataFrame({'A':[1,2,3],
'B':[4,5,6],
'C':[7,8,9],
'D':[1,3,5],
'E':[5,3,6],
'F':[7,4,3]})
print (df)
A B C D E F
0 1 4 7 1 5 7
1 2 5 8 3 3 4
2 3 6 9 5 6 3
N = 5
dfs = {'name' + str(i):df for i in range(1,N)}
print (dfs)
{'name3': A B C D E F
0 1 4 7 1 5 7
1 2 5 8 3 3 4
2 3 6 9 5 6 3, 'name4': A B C D E F
0 1 4 7 1 5 7
1 2 5 8 3 3 4
2 3 6 9 5 6 3, 'name2': A B C D E F
0 1 4 7 1 5 7
1 2 5 8 3 3 4
2 3 6 9 5 6 3, 'name1': A B C D E F
0 1 4 7 1 5 7
1 2 5 8 3 3 4
2 3 6 9 5 6 3}
print (dfs['name1'])
A B C D E F
0 1 4 7 1 5 7
1 2 5 8 3 3 4
2 3 6 9 5 6 3
回答by honza_p
If you really want to create named variables, you can do the following
如果你真的想创建命名变量，你可以执行以下操作
variables = locals()
for i in range(100):
variables["df{0}".format(i)] = ...
But as others suggested, using a dictionary is perhaps better
但正如其他人所建议的，使用字典可能更好
