stats

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stats#

QuadratiK.tools.stats(x: ndarray | DataFrame, y: ndarray | DataFrame | None = None) → DataFrame#

The stats function calculates statistics for one or multiple groups of data.

Parameters#

xnumpy.ndarray, pandas.DataFrame

Data for which statistics is to be calculated.

ynumpy.ndarray, pandas.DataFrame, optional

The parameter y is an optional input that can be either another set of observations, or the associated labels for observations (data points).

Returns#

summary statisticspandas.DataFrame

Summary statistics of the input data.

Examples#

import numpy as np
from QuadratiK.tools import stats
np.random.seed(42)
X = np.random.randn(100,4)
print(stats(X))

         Feature 0  Feature 1  Feature 2  Feature 3
Mean     -0.009811   0.033746   0.022496   0.043764
Std Dev   0.868065   0.952234   1.044014   0.982240
Median   -0.000248  -0.024646   0.068665   0.075219
IQR       1.244319   1.111478   1.318245   1.506492
Min      -2.025143  -1.959670  -3.241267  -1.987569
Max       2.314659   3.852731   2.189803   2.720169
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