Here we would be learning about the attributes of the array.
This array attribute returns a tuple consisting of array dimensions. It can also be used to resize the array.
import numpy as np a = np.array([[1,2,3],[4,5,6]]) print (a.shape)
# this resizes the ndarray import numpy as np a = np.array([[1,2,3],[4,5,6]]) a.shape = (3,2) print (a)
[[1 2] [3 4] [5 6]]
NumPy also provides a reshape function to resize an array.
import numpy as np a = np.array([[1,2,3],[4,5,6]]) b = a.reshape(3,2) print (b)
[[1 2] [3 4] [5 6]]
# an array of evenly spaced numbers import numpy as np a = np.arange(24) print (a)
[ 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23]
# this is one dimensional array import numpy as np a = np.arange(24) a.ndim # now reshape it b = a.reshape(2,4,3) print (b) # b is having three dimensions
[[[ 0 1 2] [ 3 4 5] [ 6 7 8] [ 9 10 11]] [[12 13 14] [15 16 17] [18 19 20] [21 22 23]]]
This array attribute returns the length of each element of array in bytes.
# dtype of array is int8 (1 byte) import numpy as np x = np.array([1,2,3,4,5], dtype = np.int8) print (x.itemsize)
# dtype of array is now float32 (4 bytes) import numpy as np x = np.array([1,2,3,4,5], dtype = np.float32) print (x.itemsize)
The ndarray object has the following attributes. Its current values are returned by this function.
import numpy as np x = np.array([1,2,3,4,5]) print (x.flags)
C_CONTIGUOUS : True F_CONTIGUOUS : True OWNDATA : True WRITEABLE : True ALIGNED : True WRITEBACKIFCOPY : False UPDATEIFCOPY : False
|C_CONTIGUOUS (C)||The data is in a single, C-style contiguous segment|
|F_CONTIGUOUS (F)||The data is in a single, Fortran-style contiguous segment|
|OWNDATA (O)||The array owns the memory it uses or borrows it from another object|
|WRITEABLE (W)||The data area can be written to. Setting this to False locks the data, making it read-only|
|ALIGNED (A)||The data and all elements are aligned appropriately for the hardware|
|UPDATEIFCOPY (U)||This array is a copy of some other array. When this array is deallocated, the base array will be updated with the contents of this array|
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