 # numpy.expm1 () in Python

Parameters:

`  array:  [array_like] Input array or object whose elements, we need to test.  out:  [ndarray, optional] Output array with same dimensions as Input array, placed with result.  ** kwargs:  allows you to pass keyword variable length of argument to a function. It is used when we want to handle named argument in a function.  where:  [array_like, optional] True value means to calculate the universal functions (ufunc) at that position, False value means to leave the value in the output alone. `

Return:

` An array with exponential (all elements of input array) - 1. `

Code 1: Working

 ` # Python program explaining ` ` function # expm1 () `   ` import ` ` numpy as np `   ` in_array ` ` = ` ` [` ` 1 ` `, ` ` 3 ` `, ` ` 5 ` `] ` ` print ` ` (` ` "Input array:" ` `, in_array) ` ` `  ` exp_values ​​` ` = ` ` np .exp (in_array) ` ` print ` ` (` ` "Exponential value of array element:" ` ` "" ` `, exp_values) `   ` expm1_values ​​ = np.expm1 (in_array) ```` print ( "(Exponential value of array element) - (1)" ":" , expm1_values) ```

Output:

` Input array: [1, 3, 5] Exponential value of array element: [2.71828183 20. 08553692 148.4131591] (Exponential value of array element) - (1): [1.71828183 19.08553692 147.4131591] `

Code 2: Graphical representation

` `

``` Output: out_array: [1.71828183 2.32011692 3.05519997 3.95303242 5.04964746 6.3890561] Links: https://docs.scipy.org/doc/numpy -1.13.0 / reference / generated / numpy.expm1.html # numpy.expm1 , (adsbygoogle = window.adsbygoogle || []).push({}); © 2021 Python.Engineering Best Python tutorials books for beginners and professionals Become an author and write for us Architect Development For dummies Machine Learning Analysis Loops Counters NumPy NLP Regular Expressions File Handling Arrays String Variables Knowledge Database X Submit new EBook # Show Python program # Graphical view function # expm1 ( )   import numpy as np import matplotlib.pyplot as plt   in_array = [ 1 , 1.2 , 1.4 , 1.6 , 1.8 , 2 ] out_array = np.expm1 (in_array)   print ( "out_array:" , out_array)   y = [ 1 , 1.2 , 1.4 , 1.6 , 1.8 , 2 ] plt.plot (in_array, y, color = `blue` , marker = "*" )   # red for numpy.expm1 () plt.plot (out_array, y, color = `red` , marker = "o" ) plt.title ( " numpy.expm1 () " ) plt.xlabel ( "X" ) plt.ylabel ( "Y" ) plt.show ()  \$(document).ready(function () { \$(".modal_galery").owlCarousel({ items: 1, itemsCustom: false, itemsDesktop: [1300, 1], itemsDesktopSmall: [960, 1], itemsTablet: [768, 1], itemsTabletSmall: false, itemsMobile: [479, 1], singleItem: false, itemsScaleUp: false, pagination: false, navigation: true, rewindNav: true, autoPlay: true, stopOnHover: true, navigationText: [ "<img class='img_no_nav_mob' src='/wp-content/themes/nimani/image/prevCopy.png'>", "<img class='img_no_nav_mob' src='/wp-content/themes/nimani/image/nextCopy.png'>" ], }); \$(".tel_mask").mask("+9(999) 999-99-99"); }) ```