Python | Pandas Series.at_time()

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 0

Returns : 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')

# 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.

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')

# 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.