I'm trying to drop all rows from this df where column 'DB Serial' contains the character *:
DB Serial
0 13058
1 13069
2 *13070
3 13070
4 13044
5 13042
I am using:
df = df[~df['DB Serial'].str.contains('*')]
but i get this error:
raise error, v # invalid expression
error: nothing to repeat
Escape *
by \\
because *
is interpreted as regex :
'*' Causes the resulting RE to match 0 or more repetitions of the preceding RE
df = df[~df['DB Serial'].str.contains('\*')]
print (df)
DB Serial
0 13058
1 13069
3 13070
4 13044
5 13042
If also get:
TypeError: bad operand type for unary ~: 'float'
then cast column to string
, because mixed values - numeric with strings:
df = df[~df['DB Serial'].astype(str).str.contains('\*')]
print (df)
DB Serial
0 13058
1 13069
3 13070
4 13044
5 13042
If possible NaN
s values:
df = df[~df['DB Serial'].str.contains('\*', na=False)]
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