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# numpy.expm1 () in Python

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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({}); Shop Learn programming in R: courses\$ Best Python online courses for 2022\$ Best laptop for Fortnite\$ Best laptop for Excel\$ Best laptop for Solidworks\$ Best laptop for Roblox\$ Best computer for crypto mining\$ Best laptop for Sims 4\$ (adsbygoogle = window.adsbygoogle || []).push({}); Latest questions NUMPYNUMPY psycopg2: insert multiple rows with one query 12 answers NUMPYNUMPY How to convert Nonetype to int or string? 12 answers NUMPYNUMPY How to specify multiple return types using type-hints 12 answers NUMPYNUMPY Javascript Error: IPython is not defined in JupyterLab 12 answers All questions (adsbygoogle = window.adsbygoogle || []).push({}); News 13/08/2022 W4 Games called for DirectX12 support in the new version of the Godot game engine 13/08/2022 SK Hynix wants to build a chip testing and packaging plant in the US 13/08/2022 The developer showed that DDR5 memory diagnostics in the not yet presented version of MemTest86 was taken to a new level Wiki __del__ Python OpenCV | cv2.putText () method __del__ numpy.arctan2 () in Python __del__ Python | os.path.realpath () method around Python OpenCV | cv2.circle () method cvtcolor Python OpenCV cv2.cvtColor () method Python functions Python - Move item to the end of the list Counters time.perf_counter () function in Python __dict__ Check if one list is a subset of another in Python __del__ Python os.path.join () method © 2017—2022 Python Engineering Hub EN | ES | DE | FR | IT | RU | TR | PL | PT | JP | KR | CN | HI | NL Python.Engineering is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com Python Loops Counters NumPy NLP Regular Expressions Wiki Tech news Python Wiki StackOverflow PHP JavaScript Books All books Computations Development Cryptography For dummies Big Data # 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.addEventListener("DOMContentLoaded", () => { let arrayCode = document.querySelectorAll('pre'); arrayCode.forEach(element => { element.classList.add("prettyprint"); }); }); window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-Q022WLXW4X'); ```