What will be the output of the following code
import pandas as pd
marksinfo={'Name':['Praveen','Ram','Deepa','Zira'],
'Maths':[2,11,14,20],
'Science':[21,None,9,7],
'Hindi':[20,26,4,14],
'Eng':[None,24,3,19]
}
df=pd.DataFrame(marksinfo)
print(df.dropna())
1
Name Maths Science Hindi Eng
0 Praveen 2 2 20 None
1 Ram 11 2 21 3
2 Deepa 14 9 4 3
3 Zira 2 7 4 19
2
Name Maths Science Hindi Eng
2 Deepa 14 9.0 4 3.0
3 Zira 20 7.0 14 19.0
3
Name Maths Science Hindi Eng
1 Praveen 11 2 21 3.0
2 Deepa 14 9 4 3.0
3 Zira 2 7 4 19.0
4
Name Maths Science Hindi Eng
0 Praveen 2 21 20 None
1 Ram 11 None 26 24
2 Deepa 14 9 4 3
3 Zira 20 7 14 19