python convert nan to empty string
# Option 1
df1 = df.replace(np.nan, '', regex=True) # All data frame
# Option 2
df[['column1','column2']] = df[['column1','column2']].fillna('') # Specific columnspython convert nan to empty string
# Option 1
df1 = df.replace(np.nan, '', regex=True) # All data frame
# Option 2
df[['column1','column2']] = df[['column1','column2']].fillna('') # Specific columnsreplace nan in pandas
df['DataFrame Column'] = df['DataFrame Column'].fillna(0)pandas replace nan
data["Gender"].fillna("No Gender", inplace = True)python pandas replace nan with null
df.fillna('', inplace=True)replace nan in pandas column with mode and printing it
def exercise4(df):
df1 = df.select_dtypes(np.number)
df2 = df.select_dtypes(exclude = 'float')
mode = df2.mode()
df3 = df1.fillna(df.mean())
df4 = df2.fillna(mode.iloc[0,:])
new_df = [df3,df4]
df5 = pd.concat(new_df,axis=1)
new_cols = list(df.columns)
df6 = df5[new_cols]
return df6Copyright © 2021 Codeinu
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