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Python practice problems help beginners to become experts in a python programming language with a small amount of practice effort.
In this python numpy program, we will find the median of the matrix along the rows using NumPy.
import numpy as np
x = np.array([[5, 3],[7, 4]])
print("Median of array along row:",np.median(x,axis=0))
Output :
Median of array along row: [6. 3.5]
In this python numpy program, we will find the median of the matrix using NumPy.
import numpy as np
x = np.array([[5, 3],[7, 4]])
print("Median of array:",np.median(x))
Output :
Median of array: 4.5
In this python numpy program, we will get the number of nonzero elements in an array using NumPy.
import numpy as np
x = np.array([[4, 8, 0],[2, 0, 6]])
print("Number of non-zero elements: ",np.count_nonzero(x))
Output :
Number of non-zero elements: 4
In this python numpy program, we will split an array of 10 elements into 3 arrays using NumPy.
import numpy as np
x = np.arange(1, 11)
print("Original array:",x)
print("After splitting:")
print(np.split(x, [2, 5]))
Output :
Original array: [ 1 2 3 4 5 6 7 8 9 10]
After splitting:
[array([1, 2]), array([3, 4, 5]), array([ 6, 7, 8, 9, 10])]
In this python numpy program, we will convert 2 arrays as columns of the matrix using NumPy.
import numpy as np
x = np.array((3,8,5))
y = np.array((4,0,7))
z = np.column_stack((x,y))
print(z)
Output :
[[3 4]
[8 0]
[5 7]]
In this python numpy program, we will remove single-dimensional entries from a specified shape using NumPy.
import numpy as np
x = np.zeros((2,1,3))
print("After removing single-dimensional entries: ",
np.squeeze(x).shape)
Output :
After removing single-dimensional entries: (2, 3)
In this python numpy program, we will find the ith element of an array using NumPy.
import numpy as np
x = np.array([[4,8,7],[2,3,6]])
print("Fifth element: ",x[1,1])
Output :
Fifth element: 3
In this python numpy program, we will change the data type of an array using NumPy.
import numpy as np
x = np.array([[4,8,7],[2,3,6]])
print("Old: \n",x)
y = x.astype(float)
print("New: \n",y)
Output :
Old:
[[4 8 7]
[2 3 6]]
New:
[[4. 8. 7.]
[2. 3. 6.]]
In this python numpy program, we will find the indices of the minimum value of an array using NumPy.
import numpy as np
x = np.array([76,36,56,90])
print("Index of minimum Values: ",np.argmin(x))
Output :
Index of manimum Values: 1
In this python numpy program, we will find the indices of the maximum value of array using NumPy.
import numpy as np
x = np.array([76,36,56,90])
print("Index of maximum Values: ",np.argmax(x))
Output :
Index of maximum Values: 3