42. How to Fetch Random Samples From The Dataset?

How to Fetch Random Samples From The Dataset? sample () : Returns a random sample of items from an axis of object. We can apply this method to pandas series and pandas dataframes. --------------------------------- n=None, frac=None, replace=False, weights=None, random_state=None, axis=None, ----------------------------- Parameters ----------------------------- n: int, optional Number of items from axis to return. Cannot be used with 'frac'. Default = 1 if 'frac' = None. ----------------------------- frac: float, optional Fraction of axis items to return. Cannot be used with 'n'. ------------------------------ replace: bool, default False Allow or disallow sampling of the same row more than once. ----------------------------- weights: str or ndarray-like, optional Default 'None' results in equal probability weighting. If passed a Series will align with target object on index. ----------------------------- random_state : int, array-like, BitGenerator, np.random.RandomState, optional ----------------------- axis : {0 or ‘index’, 1 or ‘columns’, None}, default None ----------------------------------------------------------- Github Link: https://github.com/PRIYANG-BHATT/Datasets-Youtube-Pandas/tree/main/DS If you enjoy these tutorials, like the video, and give it a thumbs-up, and also share these videos with your friends and families if you think these videos would help him. Please consider clicking the SUBSCRIBE button to be notified of future videos.