I have a dataframe look like this:
import pandas import numpy as np df = DataFrame(np.random.rand(4,4), columns = list('abcd')) df a b c d 0 0.418762 0.042369 0.869203 0.972314 1 0.991058 0.510228 0.594784 0.534366 2 0.407472 0.259811 0.396664 0.894202 3 0.726168 0.139531 0.324932 0.906575
How I can get all columns except column b
?
You can use the following syntax to exclude columns in a pandas DataFrame: #exclude column1 df. loc[:, df.
We can exclude one column from the pandas dataframe by using the loc function. This function removes the column based on the location. Parameters: dataframe: is the input dataframe.
When the columns are not a MultiIndex, df.columns
is just an array of column names so you can do:
df.loc[:, df.columns != 'b'] a c d 0 0.561196 0.013768 0.772827 1 0.882641 0.615396 0.075381 2 0.368824 0.651378 0.397203 3 0.788730 0.568099 0.869127
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