  # Python | Check if all values ​​in numpy are null

Arrays | NumPy | Python Methods and Functions

Method # 1: Getting the number of zeros using `numpy.count_nonzero()`

 ` # Demo Python code ` ` # count the number of items ` ` # in NumPy that are zero ``   import numpy as np   `` ini_array1 = np.array ([ 1 , 2 , 3 , 4 , 5 , 6 , ` ` 0 ` `]) ` ` ini_array2 ` ` = ` ` np.array ([` ` 0 ` `, ` ` 0 ` `, ` ` 0 ` `, ` ` 0 ` `, ` ` 0 ` `, ` ` 0 ` `]) `   ` # print initial arrays ` ` print ` ` (` ` "initial arrays" ` `, ini_array1) ` ` print ` ` (ini_array2) ` ` `  ` # code to determine if all elements ratios are zero ` ` countzero_in1 ` ` = ` ` np. count_nonzero (ini_array1) ` ` countzero_in2 ` ` = ` ` np .count_nonzero (ini_array2) `   ` # print result ` ` print ` ` (` ` "Number of non-zeroes in array1:" ` `, countzero_in1) ` ` print ` ` ( "Number of non-zeroes in array2:" , countzero_in2) `

Exit:

` initial arrays [1 2 3 4 5 6 0] [0 0 0 0 0 0] Number of non-zeroes in array1: 6 Number of non-zeroes in array2: 0 `

Method # 2: Using ` numpy.any () `

` `

` # Python code to check if # all elements in numpy are null   import numpy as np   ini_array1 = np.array ([ 1 , 2 , 3 , 4 , 5 , 6 , 0 ]) ini_array2 = < / code> np.array ([ 0 , 0 , 0 , 0 , 0 , 0 ])   # printing initial arrays print ( "initial arrays" , ini_array1)    # code to determine if all elements are zero countzero_in1 = not np. any (ini_array1) countzero_in2 = not np. any (ini_array2)   # print result print ( "Whole array contains zeroes in array1?:" , countzero_in1) print ( "Whole array contains zeroes in array2?:" , countzero_in2) `

` ` Exit :

` initial arrays [1 2 3 4 5 6 0] Whole array contains zeroes in array1?: False Whole array contains zeroes in array2?: True `