Python | Pandas Series.dt.days_in_month

Michael Zippo 18.07.2021

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Series.dt can be used to access series values ‚Äã‚Äãas datetimelike and return multiple properties. Series.dt.days_in_month Pandas Series.dt.days_in_month returns the number of days in a month for a given series object.

Syntax: Series.dt.days_in_month

Parameter: None

Returns: numpy array

Example # 1: Use the Series.dt.days_in_month attribute to find the number of days in a month given date in the series object.

# import pandas as pd

import pandas as pd

# Create a series

sr = pd. Series ([ ’2012-12-31’ , ’2019-1-1 12:30’ , ’2008-02-2 10:30’ ,

’2010-1-1 09:25’ , ’ 2019-12-31 00: 00’ ])

# Create index

idx = [ ’ Day 1’ , ’Day 2’ , ’Day 3’ , ’ Day 4’ , ’Day 5’ ]

# set index

sr.index = idx

# Convert base data to date and time

sr = pd.to_datetime (sr)

# Print series

print (sr)

Output:

Now we will use the Series.dt.days_in_month attribute to find the number of days in a month for a given date.

# find number
# days in month

result = sr.dt.days_in_month

# print result

print (result)

Output:

How we can see from the output that the Series.dt.days_in_month attribute successfully accessed and returned the number of days in the month for the given date.

Example # 2: Use the Series.dt.days_in_month attribute to find the number of days in the month of a given date in a series object.

# import pandas as pd

import p andas as pd

# Create a series

sr = pd.Series (pd.date_range ( ’2012-12-31 00:00’ , periods = 5 , freq = ’D’ ))

# Index creation

idx = [ ’Day 1’ , ’ Day 2’ , ’Day 3’ , ’ Day 4 ’ , ’ Day 5’ ]

# set index

sr.index = idx

# Print series

print (sr)

Output:

We will now use the Series.dt.days_in_month attribute to find the number of days in a month for a given date.

       # find the number  
  # days in the month  
   result   =   sr.dt.days_in_month 
  
  # print result   
  print   (result)

Output:

As we can see from the output, the Series.dt.days_in_month attribute successfully accessed and returned the number of days in a month for the given date.

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We hope this article has helped you to resolve the problem. Apart from Python | Pandas Series.dt.days_in_month, check other array Python module-related topics.

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Frank Nickolson

Massachussetts | 2023-02-02

NumPy is always a bit confusing 😭 Python | Pandas Series.dt.days_in_month is not the only problem I encountered. I am just not quite sure it is the best method

Oliver Wu

Warsaw | 2023-02-02

Simply put and clear. Thank you for sharing. Python | Pandas Series.dt.days_in_month and other issues with PS PHP module was always my weak point 😁. Will use it in my bachelor thesis

Ken Wu

Boston | 2023-02-02

Maybe there are another answers? What Python | Pandas Series.dt.days_in_month exactly means?. Will get back tomorrow with feedback