NumPy: Compute pearson product-moment correlation coefficients of two given arrays
NumPy Statistics: Exercise-10 with Solution
Write a NumPy program to compute pearson product-moment correlation coefficients of two given arrays.
import numpy as np x = np.array([0, 1, 3]) y = np.array([2, 4, 5]) print("\nOriginal array1:") print(x) print("\nOriginal array1:") print(y) print("\nPearson product-moment correlation coefficients of the said arrays:\n",np.corrcoef(x, y))
Original array1: [0 1 3] Original array1: [2 4 5] Pearson product-moment correlation coefficients of the said arrays: [[1. 0.92857143] [0.92857143 1. ]]
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Next: Write a NumPy program to test element-wise of a given array for finiteness (not infinity or not Not a Number), positive or negative infinity, for NaN, for NaT (not a time), for negative infinity, for positive infinity.
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