Answers for "how to drop columns if specific row contains nan value"

25

drop if nan in column pandas

df = df[df['EPS'].notna()]
Posted by: Guest on March-17-2020
1

pandas remove row if missing value in column

# remove all rows without a value in the 'name' column
df = df[df['name'].notna()]
Posted by: Guest on August-15-2021

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