  # Python | Numpy numpy.matrix.all ()

NumPy | Python Methods and Functions

With the ` Numpy numpy.matrix.all () ` method, we can compare each element of one matrix to another, or we can provide the axis to which we want to apply the comparison .

Syntax: `numpy.matrix.all()`

Return: Return true if found match else false

Example # 1:
In this example, we see that using the method ` matrix.all () ` we can compare any two matrices that have different dimensions.

 ` # import an important module into python `` import numpy as np   # make a matrix with NumPy gfg1 = np.matrix ( `[1, 2, 3, 4]` ) gfg2 = np.matrix ( `[1, 2, 3, 4]` )    # using the matrix.all () method geeks = (gfg1 = = gfg2). all ()   print (geeks) `

Exit :

` True `

Example # 2:

 # import an important module into python ` import ` ` numpy as np `   ` # make a matrix with NumPy ` ` gfg1 ` ` = ` ` np.matrix (` ` `[1, 2, 3; 4, 5, 6; 7, 8, 9] `` `) ` ` gfg2 ` ` = ` ` np.matrix (` `` [1, 2, 3] `` `) ` ` `  ` # using the matrix.all () method `` geeks = (gfg1 = = gfg2). all ()   print (geeks) `

Exit:

` False `