Generatinng an array from various numerical ranges

Author: OmkarPathak

Numpy/P04_ArrayFromNumericalRanges.py

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+# Author: OMKAR PATHAK
+
+# This program illustrates how to create an adarray from numerical ranges
+
+import numpy as np
+
+# ndarray.arange(start, stop, step, dtype)
+# Creates a numpy array from 1 to 20
+myArray = np.arange(1, 21)
+print(myArray)                      # [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20]
+
+# Specifying data type of each element
+myArray = np.arange(10, dtype = 'float')
+print(myArray)                      # [ 0.  1.  2.  3.  4.  5.  6.  7.  8.  9.]
+
+# Specifying steps to jump in between two elements
+myArray = np.arange(1, 21, 2)
+print(myArray)                      # [ 1  3  5  7  9 11 13 15 17 19]
+
+# ndarray.linspace(start, stop, num, endpoint,  retstep, dtype)
+# Shows 5 equal intervals between 10 to 20
+myArray = np.linspace(10, 20, 5)
+print(myArray)                      # [ 10.   12.5  15.   17.5  20. ]
+
+# if endpoint is set to false the last number inn STOP parameter is not executed
+myArray = np.linspace(10, 20, 5, endpoint = False)
+print(myArray)                      # [ 10.  12.  14.  16.  18.]
+
+# ndarray.lopspace returns an ndarray object that contains the numbers that are evenly spaced
+# on a log scale.
+# ndarray.logscale(start, stop, num, endpoint, base, dtype)
+# default base is 10
+myArray = np.logspace(1.0, 3.0, num = 10)
+print(myArray)
+
+# [   10.            16.68100537    27.82559402    46.41588834    77.42636827
+#    129.1549665    215.443469     359.38136638   599.48425032  1000.        ]
+
+myArray = np.logspace(1.0, 3.0, num = 10, base = 2)
+print(myArray)
+
+# [ 2.          2.33305808  2.72158     3.1748021   3.70349885  4.32023896
+#   5.0396842   5.87893797  6.85795186  8.        ]