Reputation: 87
How can I remove the headers of the following Multiindex dataframe?
con_df ...
dim_2 1 2 3 ... 10 11 12
dim_0 dim_1 ...
0 0 4.4 5.87 2.28 ... 6.35485e+06 410782 395.25
0 1 4.56835 5.75216 2.12007 ... 6.35485e+06 410782 394.75
0 2 4.65177 5.36424 1.81586 ... 6.35485e+06 410782 394.25
1 0 4.83481 5.19509 1.59704 ... 6.35485e+06 410782 393.75
1 1 5.05419 5.03307 1.42013 ... 6.35485e+06 410782 393.25
1 2 6.0365 5.0122 1.25353 ... 6.35485e+06 410782 393.25
Desired result:
0 0 4.4 5.87 2.28 ... 6.35485e+06 410782 395.25
0 1 4.56835 5.75216 2.12007 ... 6.35485e+06 410782 394.75
0 2 4.65177 5.36424 1.81586 ... 6.35485e+06 410782 394.25
1 0 4.83481 5.19509 1.59704 ... 6.35485e+06 410782 393.75
1 1 5.05419 5.03307 1.42013 ... 6.35485e+06 410782 393.25
1 2 6.0365 5.0122 1.25353 ... 6.35485e+06 410782 393.25
Thanks in advance
Upvotes: 1
Views: 3748
Reputation: 862406
In pandas DataFrame are always columns, here if need remove first level use DataFrame.droplevel
with DataFrame.rename_axis
for remove index and columns names:
df1 = df.droplevel(0, axis=1).rename_axis(index=(None, None), columns=None)
If want write DataFrame to file with no header:
df.to_csv(file, header=None)
Upvotes: 0