pandas unix timestamp to datetime code example

Example 1: pd.to_datetime python

import pandas as pd
date='2020/11/26 12:00:00'
date_time=pd.to_datetime(date, format='%Y/%m/%d %H:%M:%S')

Example 2: pandas change dtype to timestamp

pd.to_datetime(df.column)

Example 3: convert column to timestamp pandas

df2 = pd.to_datetime(df['col1'])
df2

Example 4: convert unix timestamp to datetime python pandas

In [23]: df.head()
Out[23]: 
         date  price
0  1349720105  12.08
1  1349806505  12.35
2  1349892905  12.15
3  1349979305  12.19
4  1350065705  12.15
In [25]: df['date'] = pd.to_datetime(df['date'],unit='s')

In [26]: df.head()
Out[26]: 
                 date  price
0 2012-10-08 18:15:05  12.08
1 2012-10-09 18:15:05  12.35
2 2012-10-10 18:15:05  12.15
3 2012-10-11 18:15:05  12.19
4 2012-10-12 18:15:05  12.15

In [27]: df.dtypes
Out[27]: 
date     datetime64[ns]
price           float64
dtype: object

Example 5: pandas datetime to unix timestamp

dates = pd.to_datetime(['2019-01-15 13:30:00'])
(dates - pd.Timestamp("1970-01-01")) // pd.Timedelta('1s')  
# Int64Index([1547559000], dtype='int64')