基于python中的多列删除具有多个条件的行

Question

I have a dataset (df) as below:

I want to drop rows based on condition when SKU is "abc" and packing is "1KG" & "5KG".

I have tried using following code:

df.drop( df[ (df['SKU'] == "abc") & (df['Packing'] == "10KG") & (df['Packing'] == "5KG") ].index, inplace=True)

Getting following error while trying above code:

NameError                                 Traceback (most recent call last)
<ipython-input-1-fb4743b43158> in <module>
----> 1 df.drop( df[ (df['SKU'] == "abc") & (df['Packing'] == "10KG") & (df['Packing'] == "5KG") ].index, inplace=True)

NameError: name 'df' is not defined

Any help on this will be greatly appreciated. Thanks.

Answer 1

I suggest trying this:

df = df.loc[~((df['SKU'] == 'abc') & (df['packing'].isin(['1KG', '5KG']))]

The .loc is to help define the conditions and using ~ basically means 'NOT' those conditions.