How to include non zero values in a dataframe column?

Asked May 18 '18 at 10:13

Active May 18 '18 at 10:20

Viewed 14 times

I have a dataframe in which out of various columns there is a quantity column.

This column has some entries with zero.

I want to drop rows from the dataframe which has quantity as zero, like-

df[quantity] = df[quantity > 0]

Is the above approach is correct or any better way to do so?

edited May 18 '18 at 10:20

asked May 18 '18 at 10:13

AnalyticsPy

1

If you want to exclude rows where quantity == 0, use `df = df[df['quantity'] != 0]`. – jpp May 18 '18 at 10:15
Thanks! this is exactly I wanted. – AnalyticsPy May 18 '18 at 10:25

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