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27.Replace all missing values in a data frame with a 999 .



27.Replace all missing values in a data frame with a 999 . 

Solution :- 

import pandas as pd

import numpy as np

Srec={'sid':[101,102,103,104,np.nan,106,107,108,109,110],

'sname':['Amit','Sumit',np.nan,'Aman','Rama','Neeta','Amjad','Ram','Ilma','Raja'],

'smarks':[98,67,np.nan,56,38,98,67,np.nan,56,np.nan],

'sgrade':[np.nan,np.nan,'A1','C1','D','A1','B2',np.nan,'B2','A2'],

'remark':['P','P','P','F',np.nan,'P','P','F','P','P'],

'mobile':[9990009991,9990009992,9990009993,np.nan,9990009995,np.nan, 9990009997,

9990009998, np.nan,9999010000]}      

# Convert the dictionary into DataFrame 

df=pd.DataFrame(Srec)

print("\n- Dataframe Before Replacing NaN with 999-\n") 

print(df)

#Replace missing value with zeros

print("\n-After Replacing missing value with 999-\n")

df=df.fillna(999)

print(df)


Output :- 















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