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How to access datetime indexed elements in pandas series?
Pandas series is a one-dimensional ndarray type object which stores elements with labels, those labels are used to addressing the elements present in the pandas Series.
The labels are represented with integers, string, DateTime, and more. Here we will see how to access the series elements if the indexes are labeled with DateTime values.
import pandas as pd # creating dates date = pd.date_range("2021-01-01", periods=5, freq="D") # creating pandas Series with date index series = pd.Series(range(10,len(date)+10), index=date) print(series) print('
') # get elements print(series['2021-01-01'])
The variable date is storing the list of dates with length 5, the starting date is 2021-01-01 and the ending date is 2021-01-05. Those dates are created by using the pandas date_range function. By using this list of dates we have created a pandas series object (series) with 10,11,12,13,14 values and labels are dates.
2021-01-01 10 2021-01-02 11 2021-01-03 12 2021-01-04 13 2021-01-05 14 Freq: D, dtype: int64 10
In this following example, the value 10 is displayed for the label indexed '2021-01-01'. In this same way, we can access elements in between dates (series[‘2021-01-01’: ‘2021-01-05’])
This example for accessing elements based on a particular month.
import pandas as pd # creating dates date = pd.date_range(start ='01-03-2020', end ='1-1-2021', periods=10) # creating pandas Series with date index series = pd.Series(date.month_name(), index=date) print(series) print('
') # get elements print(series['2020-03'])
The series object is storing data with DateTime indexed labels and names of their respective moths. Initially, this series object is created by using the pandas date_range module.
And the data present in this series are names of months of respected index labels that are generated by using the month_name() function in the pandas DateTime module.
2020-01-03 00:00:00 January 2020-02-12 10:40:00 February 2020-03-23 21:20:00 March 2020-05-03 08:00:00 May 2020-06-12 18:40:00 June 2020-07-23 05:20:00 July 2020-09-01 16:00:00 September 2020-10-12 02:40:00 October 2020-11-21 13:20:00 November 2021-01-01 00:00:00 January dtype: object 2020-03-23 21:20:00 March dtype: object
The output march is series elements accessed by specifying the year and month values (series['2020-03']). The above output block has an entire series object and a single accessed element.
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