Some functions in Numpy

avinashn · avinashn · commit 856f82accd8b · 2023-05-08T23:55:31.000+05:30
diff --git a/numpy_functions.py b/numpy_functions.py
@@ -0,0 +1,40 @@
+import numpy as np
+
+# Create an array of integers from 0 to 9
+arr = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
+
+# Create a range of values from 0 to 9 with a step of 2
+range_arr = np.arange(0, 10, 2)
+print('The range of values from 0 to 9 with a step of 2: \t', range_arr)
+
+# Create an array of zeros with 3 rows and 4 columns
+zeros_arr = np.zeros((3, 4))
+print('An array of zeros with 3 rows and 4 columns: \t', zeros_arr)
+
+# Create an array of ones with 2 rows and 3 columns
+ones_arr = np.ones((2, 3))
+print('An array of ones with 2 rows and 3 columns: \t', ones_arr)
+
+# Create an array with 5 evenly spaced values between 0 and 1
+linspace_arr = np.linspace(0, 1, 5)
+print('An array with 5 evenly spaced values between 0 and 1: \t', linspace_arr)
+
+# Create an array of 5 random values between 0 and 1
+rand_arr = np.random.rand(5)
+print('An array of 5 random values between 0 and 1: \t', rand_arr)
+
+# Find the maximum value in the array
+max_val = np.max(arr)
+print('Maximum value in the array: \t', max_val)
+
+# Find the minimum value in the array
+min_val = np.min(arr)
+print('Minimum value in the array: \t', min_val)
+
+# Find the mean value of the array
+mean_val = np.mean(arr)
+print('Mean value of the array: \t', mean_val)
+
+# Find the standard deviation of the array
+std_val = np.std(arr)
+print('Standard deviation of the array: \t', std_val)
