bigframes.pandas.DataFrame.kurt#

DataFrame.kurt(*,numeric_only:bool=False)[source]#

Return unbiased kurtosis over columns.

Kurtosis obtained using Fisher’s definition ofkurtosis (kurtosis of normal == 0.0). Normalized by N-1.

Examples:

>>>df=bpd.DataFrame({"A":[1,2,3,4,5],..."B":[3,4,3,2,1],..."C":[2,2,3,2,2]})>>>df    A       B       C0   1       3       21   2       4       22   3       3       33   4       2       24   5       1       2[5 rows x 3 columns]

Calculating the kurtosis value of each column:

>>>df.kurt()A        -1.2B   -0.177515C         5.0dtype: Float64

Parameters:

numeric_only (bool,default False) – Include only float, int, boolean columns.

Returns:

Series.

Return type:

bigframes.pandas.Series