Nan vs nat pandas

Count nan pandas

#Python, pandas
#Count missing values for each column of the dataframe df

df.isnull().sum()

Source: thispointer.com

Pandas nan values in column

df['your column name'].isnull()

Nan vs nat pandas

>>> import pandas as pd, datetime, numpy as np
>>> df = pd.DataFrame({'a': [datetime.datetime.now(), np.nan], 'b': [5, np.nan], 'c': [1, 2]})
>>> df
                           a    b  c
0 2019-02-17 18:06:15.231557  5.0  1
1                        NaT  NaN  2
>>> fill_dt = datetime.datetime.now()
>>> fill_value = 4
>>> dt_filled_df = df.select_dtypes('datetime').fillna(fill_dt)
>>> dt_filled_df
                           a
0 2019-02-17 18:06:15.231557
1 2019-02-17 18:06:36.040404
>>> value_filled_df = df.select_dtypes('int').fillna(fill_value)
>>> value_filled_df
   c
0  1
1  2
>>> dt_filled_df.columns = [col + '_notnull' for col in dt_filled_df]
>>> value_filled_df.columns = [col + '_notnull' for col in value_filled_df]
>>> df = df.join(value_filled_df)
>>> df = df.join(dt_filled_df)
>>> df
                           a    b  c  c_notnull                  a_notnull
0 2019-02-17 18:06:15.231557  5.0  1          1 2019-02-17 18:06:15.231557
1                        NaT  NaN  2          2 2019-02-17 18:06:36.040404

Source: stackoverflow.com

Similar codes

39 votes137 views6 answers
Pyplot python
Python
0 vote122 views2 answers
Arma-garch python
Python
0 vote135 views2 answers
Ocr image table to excel python
Python
0 vote142 views1 answer
Returns all column names as a list
Python
0 vote138 views1 answer
Proper pagination django template
Python
0 vote123 views1 answer
Read dict from text
Python
0 vote116 views1 answer
Cbv uk django
Python
3 votes126 views1 answer
Spam python
Python
8 votes190 views3 answers
Python split range into n groups
Python
0 vote142 views1 answer
\n vs \r python
Python