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Get the Hour from timestamp in Pandas

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  • Last Updated : 24 Jul, 2020

Let’s see how to extract the hour from a timestamp in Pandas, with the help of multiple examples.

Example 1 : pandas.timestamp.now() takes timezone as input and returns current timestamp object of that timezone.




# importing the module
import pandas as pd
  
# input current timestamp
date = pd.Timestamp.now()
print("currentTimestamp: ", date)
  
# extract the Hours from the timestamp
frame = date.hour
print("Hour: ", frame)

Output:

Example 2 : pandas.timestamp() is used for DateTimeIndex of a specific timezone. It takes year, month, day, time and timezone as input and returns DateTimeIndex of that timezone.




# importing the module
import pandas as pd   
  
# input the timestamp
date = pd.Timestamp(year = 2020, month = 7, day = 21
                    hour = 6, minute = 30, second = 44
                    tz = 'Asia / Kolkata')  
print("Timestamp: ", date)
  
# extract the Hours from the timestamp
print("Hour: ", date.hour)

Output :

Example 3 : Take input as range of timestamps using pandas.dt_range() and use pandas.series() to convert into an array of timestamps.




# importing the module
import pandas as pd 
  
# take input Dates in a range
dates = pd.Series(pd.date_range('2019-8-5 10:23:05', periods = 6, freq ='H'))
  
# convert in a dict container
frame = pd.DataFrame(dict(givenDate = dates))
  
# extract Hours from Timestamp
frame['hourOfTimestamp'] = frame['givenDate'].dt.hour
print(frame)

Output :

Solution 4 : Use object.hour attribute to return the hour of the datetime within data of the given Series object.




# importing the module
import pandas as pd 
  
# take inputs
dates = pd.Series(['2015-01-11 09:20', '2019-4-8 11:31', '2018-12-22 10:10'
                   '2011-4-2 04:25', '2017-1-6 03:51'])  
  
# give a Name to the series
seriesName = ['T1', 'T2', 'T3', 'T4', 'T5']  
  
# give index to each timestamp
dates.index = seriesName
  
dates = pd.to_datetime(dates)
  
# extract Hours from Timestamp 
rs = dates.dt.hour  
print(rs)

Output :

Solution 5 : Read timestamp data from a csv file and get Hours from each timestamp.




# importing the module
import pandas as pd
  
# read the date from xyz.csv file
frame = pd.read_csv(r'xyz.csv')
print("Values in xyz.csv: ")
print(frame.head())
  
frame['dateTime'] = frame['dateTime'].astype('datetime64[ns]')
  
# extract Hours from Timestamp  
print("Hours: ")
print(frame.dateTime.dt.hour.head())

Output :


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