I have the following df:
ABF2
ABG2
ABH2
ABJ3
ABK4
ABM5
ABN6
ABQ7
My goal is to have the following data frame:
ABH2
ABM5
ABQ7
So basically the condition would be multiple:
if third char = H, M, Q or Z
To get the third char value I do as below:
DF.Col_Name[2::2]
Fact is that I don't really know how to apply multiple condition to retrieve the wanted DF. Also, what would be the quickest way to do this?
Select third character with str
and test values in Series.isin
for test by membership, filter by boolean indexing
:
df = DF[DF.Col_Name.str[2].isin(['H','M','Q','Z'])]
You can try .str
accessor
out = df[df['col'].str[2].isin(['H', 'M', 'Q', 'Z'])]
print(out)
col
2 ABH2
5 ABM5
7 ABQ7
You can use:
df.loc[df.col.str[2].str.contains('H|M|Q|Z')]
prints:
col
2 ABH2
5 ABM5
7 ABQ7
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