Python Pandas convert column data type

Question

I know a question like this has been asked zillion types, but so far I have not been able to find an answer to this question.

I have joined two .csv files together with

Answer 1

As with @EdChum's comment, you need to use clip(upper=13) or clip_upper(13). One other option which can help you in the long run with instances like this is to use apply with a lambda function. This is a really nifty all-around method.

import pandas as pd
import numpy as np

df = pd.DataFrame(np.random.randint(5,18,size=(5, 4)), columns=list('ABCD'))
nscap = lambda x: min(x, 13)

print df.head()
print '-' * 20

df['NSCAP'] = df['D'].apply(nscap)

print df.head()

Result:

Take note of the last 2 lines of the second dataframe.

Hope this helps.