remove all rows without a value pandas
# Keeps only rows without a missing value
df = df[df['name'].notna()]remove all rows without a value pandas
# Keeps only rows without a missing value
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
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