Pandas series is a One-dimensional ndarray with axis labels. The labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index.
Pandas Series.at_time() function is used to select values at particular time of day (e.g. 9:30AM) in the given series object.
Syntax: Series.at_time(time, asof=False, axis=None)
Parameter :
time : datetime.time or string
axis : {0 or ‘index’, 1 or ‘columns’}, default 0Returns : values_at_time : same type as caller
Example #1: Use Series.at_time() function to return the values at particular time of the day in the given series object.
# importing pandas as pd import pandas as pd   # Creating the Series sr = pd.Series([11, 21, 8, 18, 65, 18, 32, 10, 5, 32, None])   # Create the Index index_ = pd.date_range('2010-10-09 08:45', periods = 11, freq ='H')   # set the index sr.index = index_   # Print the series print(sr) |
Output :
Now we will use Series.at_time() function to return the values at particular time of the day in the given series object.
# return values at particular time of the day result = sr.at_time(time = '13:45:00') Â Â # Print the result print(result) |
Output :
As we can see in the output, the Series.at_time() function has successfully returned the value at the particular time of the day in the given series object.
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Example #2 : Use Series.at_time() function to return the values at particular time of the day in the given series object.
# importing pandas as pd import pandas as pd   # Creating the Series sr = pd.Series([11, 21, 8, 18, 65, 18, 32, 10, 5, 32, None])   # Create the Index # apply monthly frequency index_ = pd.date_range('2010-10-09 08:45', periods = 11, freq ='M')   # set the index sr.index = index_   # Print the series print(sr) |
Output :
Now we will use Series.at_time() function to return the values at particular time of the day in the given series object.
# return values at particular time of the day result = sr.at_time(time = '08:45:00') Â Â # Print the result print(result) |
Output :
As we can see in the output, the Series.at_time() function has successfully returned the value at the particular time of the day in the given series object. All of the values in the series object has been returned as they are having the time value equal to the passed time.
