Pandy usuwają wiersz, jeśli brakuje wartości w kolumnie
# remove all rows without a value in the 'name' column
df = df[df['name'].notna()]
Trained Tuna
# remove all rows without a value in the 'name' column
df = df[df['name'].notna()] df = df.dropna(axis = 1)df = df[pd.notnull(df['RespondentID'])]
# Drop the missing value present in the "RespondentID" column