Useful numpy functionality

numpy_functions.py

import numpy as np

## Make a table of counts of each value in a numpy array.
# This returns the unique values and their counts in a numpy array.
x = np.array([1, 1, 1, 2, 2, 2, 7, 14, 2, 1])
unique, counts = np.unique(x, return_counts=True)

print(np.asarray((unique, counts)).T)   # Use transpose for better visual

## Sort it
# Print out sorted array, first change to dictionary
dict_counts = dict(zip(unique, counts))
print(f"value, count") 
print(np.asarray(sorted(dict_counts.items(), key=lambda x:x[1])))