so I am filling dataframes from 2 different files. While those 2 files should have the same structure (the values should be different thought) the resulting dataframes look different. So when printing those I get:
a b c d
0 70402.14 70370.602112 0.533332 98
1 31362.21 31085.682726 1.912552 301
... ... ... ... ...
753919 64527.16 64510.008206 0.255541 71
753920 58077.61 58030.943621 0.835758 152
a b c d
index
0 118535.32 118480.657338 0.280282 47
1 49536.10 49372.999416 0.429902 86
... ... ... ... ...
753970 52112.95 52104.717927 0.356051 116
753971 37044.40 36915.264944 0.597472 165
So in the second dataframe there is that "index" row that doesnt make any sense for me and it causes troubles in my following code. I did neither write the code to fill the files into the dataframes nor I did create those files. So I am rather interested in checking if such a row exists and how I might be able to remove it. Does anyone have an idea about this?
The second dataframe has an index level named "index". You can remove the name with
df.index.name = None
For example,
In [126]: df = pd.DataFrame(np.arange(15).reshape(5,3))
In [128]: df.index.name = 'index'
In [129]: df
Out[129]:
0 1 2
index
0 0 1 2
1 3 4 5
2 6 7 8
3 9 10 11
4 12 13 14
In [130]: df.index.name = None
In [131]: df
Out[131]:
0 1 2
0 0 1 2
1 3 4 5
2 6 7 8
3 9 10 11
4 12 13 14
The dataframe might have picked up the name "index" if you used reset_index
and set_index
like this:
In [138]: df.reset_index()
Out[138]:
index 0 1 2
0 0 0 1 2
1 1 3 4 5
2 2 6 7 8
3 3 9 10 11
4 4 12 13 14
In [140]: df.reset_index().set_index('index')
Out[140]:
0 1 2
index
0 0 1 2
1 3 4 5
2 6 7 8
3 9 10 11
4 12 13 14
索引只是第一列-默认情况下它为行编号,但是您可以通过多种方式更改它(例如,用其中一列的值填充它)
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