df_1,df_2,df_3 and all columns are the same.
df_1['year'].shape
df_2['year'].shape
df_3['year'].shape
You want to spin the above with the for statement,
for in (1,2,3):
df_(i)['year'].shape
I'd like to do this, but how can I automate it?
python python3 pandas numpy matplotlib
You can do it using eval as shown in the following code:
for in (1,2,3):
event("df_"+str(i)+"['year'].shape")
eval is the last resort when there is no other way.
I think it's better to write like the following code.
for dfin [df_1, df_2, df_3]:
df['year'].shape
If you really want to specify a data frame by number, you can make a list in advance.
df_list=[df_1, df_2, df_3]
for in (1, 2, 3):
(df_list[i-1])['year'].shape
As Kunif commented, df['year'].shape alone is meaningless.I interpreted it as just an example.
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