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NumPy: Create an array of equal shape and data type of a given array with fixed value

NumPy: Basic Exercise-55 with Solution

Write a NumPy program to create an array of equal shape and data type of a given array.
Fill the new array with 0.0.

Sample Solution:

Python Code:

import numpy as np  
nums = np.array([[5.54, 3.38, 7.99],
              [3.54, 8.32, 6.99],
              [1.54, 2.39, 9.29]])
print("Original array:")
print(nums)
print("\nNew array of equal shape and data type of the said array filled by 0:")
print(np.zeros_like(nums))

Sample Output:

Original array:
[[5.54 3.38 7.99]
 [3.54 8.32 6.99]
 [1.54 2.39 9.29]]

New array of equal shape and data type of the said array filled by 0:
[[0. 0. 0.]
 [0. 0. 0.]
 [0. 0. 0.]]

Python-Numpy Code Editor:

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Previous: Write a NumPy program to replace all numbers in a given array which is equal, less and greater to a given number.
Next: Write a NumPy program to create a three-dimension array with shape (3,5,4) and set to a variable.

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Python: Tips of the Day

Find current directory and file's directory:

To get the full path to the directory a Python file is contained in, write this in that file:

import os 
dir_path = os.path.dirname(os.path.realpath(__file__))

(Note that the incantation above won't work if you've already used os.chdir() to change your current working directory, since the value of the __file__ constant is relative to the current working directory and is not changed by an os.chdir() call.)

To get the current working directory use

import os
cwd = os.getcwd()

Documentation references for the modules, constants and functions used above:

  • The os and os.path modules.
  • The __file__ constant
  • os.path.realpath(path) (returns "the canonical path of the specified filename, eliminating any symbolic links encountered in the path")
  • os.path.dirname(path) (returns "the directory name of pathname path")
  • os.getcwd() (returns "a string representing the current working directory")
  • os.chdir(path) ("change the current working directory to path")

Ref: https://bit.ly/3fy0R6m