Remove dtype datetime NaT

Question

I am preparing a pandas df for output, and would like to remove the NaN and NaT in the table, and leave those table locations blank. An example would be

myd         


        

Answer 1

This won't win any speed awards, but if the DataFrame is not too long, reassignment using a list comprehension will do the job:

df1['date'] = [d.strftime('%Y-%m-%d') if not pd.isnull(d) else '' for d in df1['date']]

---

import numpy as np
import pandas as pd
Timestamp = pd.Timestamp
nan = np.nan
NaT = pd.NaT
df1 = pd.DataFrame({
    'col1': list('ac'),
    'col2': ['b', nan],
    'date': (Timestamp('2014-08-14'), NaT)
    })

df1['col2'] = df1['col2'].fillna('')
df1['date'] = [d.strftime('%Y-%m-%d') if not pd.isnull(d) else '' for d in df1['date']]

print(df1)

yields

  col1 col2        date
0    a    b  2014-08-14
1    c