I read my data
import pandas as pd
df = pd.read_csv('/path/file.tsv', header=0, delimiter='\t')
print df
and get:
id text
0 361.273 text1...
1 374.350 text2...
2 374.350 text3...
How can I delete the id column from the above data frame?. I tried the following:
import pandas as pd
df = pd.read_csv('/path/file.tsv', header=0, delimiter='\t')
print df.drop('id', 1)
But it raises this exception:
ValueError: labels ['id'] not contained in axis
To actually delete the column
del df['id'] or df.drop('id', 1) should have worked if the passed column matches exactly
However, if you don't need to delete the column then you can just select the column of interest like so:
In [54]:
df['text']
Out[54]:
0 text1
1 text2
2 textn
Name: text, dtype: object
If you never wanted it in the first place then you pass a list of cols to read_csv as a param usecols:
In [53]:
import io
temp="""id text
363.327 text1
366.356 text2
37782 textn"""
df = pd.read_csv(io.StringIO(temp), delimiter='\s+', usecols=['text'])
df
Out[53]:
text
0 text1
1 text2
2 textn
Regarding your error it's because 'id' is not in your columns or that it's spelt differently or has whitespace. To check this look at the output from print(df.columns.tolist()) this will output a list of the columns and will show if you have any leading/trailing whitespace.
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