pandas remove row if missing value in column
# remove all rows without a value in the 'name' column
df = df[df['name'].notna()]
pandas remove row if missing value in column
# remove all rows without a value in the 'name' column
df = df[df['name'].notna()]
drop row pandas column value not a number
In [215]:
df[df['entrytype'].apply(lambda x: str(x).isdigit())]
Out[215]:
entrytype
0 0
1 1
4 2
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