How to use the Series.agg() function in pandas
Maria ElijahThe Series.agg() function
The pandas Series.agg() function applies a function or list of functions to the elements in a series along a given axis and returns the result.
Syntax
Series.agg(func, axis=0)
Parameters:
func: It represents the function or list of functions used to perform operations on the series elements.axis: It indicates the axis in which the operation is to be performed. The value0and1indicate rows and columns, respectively. The default is0.
Note: If a list of functions is used, the
Series.agg()function returns multiple results.
Examples
The following code will demonstrate how to use the Series.agg() function in pandas.
Example 1: Use a single function
import pandas as pd # create Series my_series = pd.Series([17, 4, 28, 15, 23, 7, 9]) # multiple each element in the by the power of 2 # using agg() and passing the lambda function print(my_series.agg(lambda x: x **2))
Explanation
In the code above:
-
Line 1: We import the pandas library.
-
Lines 4: We create the Series,
my_series. -
Line 8: We use the
agg()function, then we pass alambdafunction to multiple each element in theSeriesby the power of 2.
Example 2: Use a list of functions
import pandas as pd # create Series my_series = pd.Series([17, 4, 28, 15, 23, 7, 9]) # sum the element in the series # using agg() and passing the sum method print(my_series.agg([min, sum, len, max]))
Explanation
In the code above:
-
Line 1: We import the
pandaslibrary. -
Lines 4: We create a series
my_series. -
Line 8: We use the
agg()function, then we pass a list of functions:- The
minfunction finds the minimum element in theSeries. - The
sumfunction finds the minimum element in theSeries. - The
lenfunction finds the len of theSeries. - The
maxfunction finds the maximum element in theSeries.
- The
Note: Each function is enclosed in a square bracket and separated by a comma. Also, you can add as many functions as needed.
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