Removing a cell if it is NaN in a Dataframe in python

Question

I have a dataframe like this.

   Project 4    Project1    Project2    Project3
0   NaN         laptio          AB      NaN
1   NaN         windows         ten     NaN
0   one         NaN             NaN
1   two         NaN             NaN

I want to remove NaN values ​​from Project 4 column

My desired result should be

DF,

   Project 4    Project1    Project2    Project3
0   one         laptio          AB      NaN
1   two         windows         ten     NaN
0                   NaN        NaN       NaN
1                NaN            NaN

Answer 1

If your data frame index is a standard from 0 to n ordered integers, you can put the column Project4in a series, drop the values NaN, reset the index, and then combine it with the data frame.

import pandas a pd

df = pd.DataFrame([[pd.np.nan, 1,2,3],
                   [pd.np.nan, 4,5,6],
                   ['one',7,8,9],
                   ['two',10,11,12]], columns=['p4','p1','p2','p3'])

s = df.pop('p4')
pd.concat([df, ps.dropna().reset_index(drop=True)], axis=1)

# returns:
   p1  p2  p3   p4
0   1   2   3  one
1   4   5   6  two
2   7   8   9  NaN
3  10  11  12  NaN