python-numpyHow to calculate quantile from Numpy array
import numpy as np
arr = np.array([1,2,3,6,7,8,10,11,12,15,16,17])
q10 = np.quantile(arr,.10)
q50 = np.quantile(arr,.5)
q95 = np.quantile(arr,.95)ctrl + cimport numpy as npload Numpy module for Python | np.arraydeclare Numpy array |
np.quantilecalculate quantile of a given array on a given level | q100.1 quanile |
q500.5 quantile (same as average) | q950.95 quantile |
Usage example
import numpy as np
arr = np.array([1,2,3,6,7,8,10,11,12,15,16,17])
val = np.quantile(arr,.05)
q10 = np.quantile(arr,.10)
q50 = np.quantile(arr,.5)
q95 = np.quantile(arr,.95)
print('10%', q10)
print('50%', q50)
print('95%', q95)output
10% 2.1
50% 9.0 9.0
95% 16.45
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