Array attributes in numpy || numpy|| numeric python|| || Ak
import numpy as np
a = np.array([[1,2,3],[4,5,6]])#that means its 2darray of 3element in each
print (a.shape)#just printing the shape of our array
this resizes the ndarray
a = np.array([[1,2,3],[4,5,6]])
a.shape = (3,2) #w want to make it 3d array
print (a)#3d array of 2elements
#numpy also prov
a = np.array([[1,2,3],[4,5,6]])
b = a.reshape(3,2)
print (b)# can be done same task with reshape keyword
an array of evenly spaced numbers
a = np.arange(20)
print (a)
#evenly spaced usefull for next videos of numpy
this is one dimensional array
a = np.arange(24)
b=a.ndim #count dim
print(b)
now reshape it
b = a.reshape(2,4,3) #2d array of 4col and 3rows
print(b)
b is having three dimensions
#dtype of array is int8 (1 byte)
x = np.array([1,2,3,4,5], dtype = np.int8)
x = np.array([1,2,3,4,5], dtype=np.complex128)
x = np.array([1,2,3,4,5], dtype=np.float64)
print (x.itemsize)#differs on datatypes
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