Statistics is concerned with collecting and then analyzing that data. It includes methods for collecting the samples, describing the data, and then concluding that data. NumPy is the fundamental package for scientific calculations and hence goes hand-in-hand for NumPy statistical Functions.

NumPy contains various statistical functions that are used to perform statistical data analysis. These statistical functions are useful when finding a maximum or minimum of elements. It is also used to find basic statistical concepts like standard deviation, variance, etc.

NumPy Statistical Functions

NumPy is equipped with the following statistical functions:

1. np.amin()- This function determines the minimum value of the element along a specified axis.

2. np.amax()- This function determines the maximum value of the element along a specified axis.

3. np.mean()- It determines the mean value of the data set.

4. np.median()- It determines the median value of the data set.

5. np.std()- It determines the standard deviation

6. np.var – It determines the variance.

7. np.ptp()- It returns a range of values along an axis.

8. np.average()- It determines the weighted average

9. np.percentile()- It determines the nth percentile of data along the specified axis.

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