pandas.DataFrame.sample

Return a random sample of items from an axis of object.

You can use random_state for reproducibility.

param n

int, optional

Number of items from axis to return. Cannot be used with frac. Default = 1 if frac = None.

param frac

float, optional

Fraction of axis items to return. Cannot be used with n.

param replace

bool, default False

Sample with or without replacement.

param weights

str or ndarray-like, optional

Default ‘None’ results in equal probability weighting. If passed a Series, will align with target object on index. Index values in weights not found in sampled object will be ignored and index values in sampled object not in weights will be assigned weights of zero. If called on a DataFrame, will accept the name of a column when axis = 0. Unless weights are a Series, weights must be same length as axis being sampled. If weights do not sum to 1, they will be normalized to sum to 1. Missing values in the weights column will be treated as zero. Infinite values not allowed.

param random_state

int or numpy.random.RandomState, optional

Seed for the random number generator (if int), or numpy RandomState object.

param axis

int or string, optional

Axis to sample. Accepts axis number or name. Default is stat axis for given data type (0 for Series and DataFrames).

return

Series or DataFrame A new object of same type as caller containing n items randomly sampled from the caller object.

Warning

This feature is currently unsupported by Intel Scalable Dataframe Compiler