How to Convert Integer to Datetime in Pandas DataFrame?

Let’s discuss how to convert an Integer to Datetime in it. Now to convert Integers to Datetime in Pandas DataFrame.

Syntax of  pd.to_datetime

df['DataFrame Column'] = pd.to_datetime(df['DataFrame Column'], format=specify your format)

Create the DataFrame to Convert Integer to Datetime in Pandas

Check data type for the ‘Dates’ column is Integer.

Python

# importing pandas package
import pandas as pd

# creating a dataframe
values = {'Dates':  [20190902, 20190913, 20190921],
          'Attendance': ['Attended', 'Not Attended', 'Attended']
          }

df = pd.DataFrame(values, columns=['Dates', 'Attendance'])

# display
print(df)
print(df.dtypes)

Output:

Example 1:

Now to convert it into Datetime we use the previously mentioned syntax. Since in this example the date format is yyyymmdd, the date format can be represented as follows:

format= '%Y%m%d'

Python3

# importing pandas package
import pandas as pd

# creating the dataframe
values = {'Dates':  [20190902, 20190913, 20190921],
          'Attendance': ['Attended', 'Not Attended', 'Attended']
          }

df = pd.DataFrame(values, columns=['Dates', 'Attendance'])

# converting the integers to datetime format
df['Dates'] = pd.to_datetime(df['Dates'], format='%Y%m%d')

# display
print(df)
print(df.dtypes)

Output:

Example 2: 

Now, suppose the Pandas DataFrame has a date in the format yymmdd. In this case, the date format would now contain ‘y’ in lowercase:

format='%y%m%d'

Python3

# importing pandas package
import pandas as pd

# creating dataframe
values = {'Dates':  [190902, 190913, 190921],
          'Attendance': ['Attended', 'Not Attended', 'Attended']
          }

df = pd.DataFrame(values, columns=['Dates', 'Attendance'])

# changing the integer dates to datetime format
df['Dates'] = pd.to_datetime(df['Dates'], format='%y%m%d')

# display
print(df)
print(df.dtypes)

Output:

Example 3: 

Now, let’s suppose that your integers contain both date and time. In that case, the format that you should specify is:

format='%Y%m%d%H%M%S'

Python3

# importing pandas package
import pandas as pd

# creating dataframe
values = {'Dates': [20190902093000, 20190913093000, 20190921200000],
          'Attendance': ['Attended', 'Not Attended', 'Attended']
          }

df = pd.DataFrame(values, columns=['Dates', 'Attendance'])

# changing integer values to datetime format
df['Dates'] = pd.to_datetime(df['Dates'], format='%Y%m%d%H%M%S')

# display
print(df)
print(df.dtypes)

Output:

Example 4: 

Consider this DataFrame with microseconds in our DateTime values. In this case, the format should be specified as:

format='%Y%m%d%H%M%S%F'

Python3

# importing pandas package
import pandas as pd

# creating dataframe
values = {'Dates':  [20190902093000912, 20190913093000444,
                     20190921200000009],
          'Attendance': ['Attended', 'Not Attended', 'Attended']
          }

df = pd.DataFrame(values, columns=['Dates', 'Attendance'])

# changing the integer dates to datetime format
df['Dates'] = pd.to_datetime(df['Dates'], format='%Y%m%d%H%M%S%F')

# display
print(df)
print(df.dtypes)

Output: