Change language

np.nanmax () in Python

numpy.nanmax() is used to return the maximum value of an array or along any particular mentioned axis of the array, ignoring any Nan value.

Syntax: numpy.nanmax (arr, axis = None, out = None, keepdims = no value)

Parameters:
arr: Input array.
axis: Axis along which we want the max value. Otherwise, it will consider arr to be flattened (works on all the axis) axis = 0 means along the column
and axis = 1 means working along the row.
out: Different array in which we want to place the result. The array must have same dimensions as expected output.
keepdims: If this is set to True, the axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the original a.

Return: maximum array value (a scalar value if axis is none) or array with maximum value along specified axis .

Code # 1: Work

# Python program illustrating
# numpy.nanmax () method

 

import numpy as np

 
# 1D array

arr = [ 1 , 2 , 7 , 0 , np.nan]

print ( " arr: " , arr) 

print ( "max of arr:" , np .amax (arr))

 
# nanmax ignores NaN values.

print ( "nanmax of arr:" , np.nanmax (arr))

 

Output:

 arr: [1, 2, 7, 0, nan] max of arr: nan nanmax of arr: 7.0 

Code # 2:

import < code class = "plain"> numpy as np

 
# 2D array

arr = [[np.nan, 17 , 12 , 33 , 44 ], 

  [ 15 , 6 , 27 , 8 , 19 ]] 

print ( "arr:" , arr) 

  
# maximum smoothed array

print ( "max of arr, axis = None:" , np.nanmax (arr)) 

 
# maximum along the first axis
# axis 0 means vertical

print ( "max of arr, axis = 0:" , np.nanmax (arr, axis = 0 )) 

 
# maximum along the second axis
# axis 1 means horizontal

print ( "max of arr, axis = 1:"  , np.nanmax (arr, axis = 1 )) 

Output:

 arr: [[nan, 17, 12, 33, 44], [15, 6, 27, 8, 19]] max of arr, axis = None: 44.0 max of arr, axis = 0: [15. 17. 27. 33. 44.] max of arr, axis = 1: [44. 27.] 

Code # 3:

import numpy as np

  

arr1 = np.arange ( 5

print ( "Initial arr1:" , arr1)

 
# using the out parameter

np.nanmax (arr, axis = 0 , out = arr1)

 

print ( "Changed arr1 (having results):" , arr1) 

Output:

 Initial arr1: [0 1 2 3 4] Changed arr1 (having results): [15 17 27 33 44] 

Shop

Gifts for programmers

Learn programming in R: courses

$FREE
Gifts for programmers

Best Python online courses for 2022

$FREE
Gifts for programmers

Best laptop for Fortnite

$399+
Gifts for programmers

Best laptop for Excel

$
Gifts for programmers

Best laptop for Solidworks

$399+
Gifts for programmers

Best laptop for Roblox

$399+
Gifts for programmers

Best computer for crypto mining

$499+
Gifts for programmers

Best laptop for Sims 4

$

Latest questions

PythonStackOverflow

Common xlabel/ylabel for matplotlib subplots

1947 answers

PythonStackOverflow

Check if one list is a subset of another in Python

1173 answers

PythonStackOverflow

How to specify multiple return types using type-hints

1002 answers

PythonStackOverflow

Printing words vertically in Python

909 answers

PythonStackOverflow

Python Extract words from a given string

798 answers

PythonStackOverflow

Why do I get "Pickle - EOFError: Ran out of input" reading an empty file?

606 answers

PythonStackOverflow

Python os.path.join () method

384 answers

PythonStackOverflow

Flake8: Ignore specific warning for entire file

360 answers

News


Wiki

Python | How to copy data from one Excel sheet to another

Common xlabel/ylabel for matplotlib subplots

Check if one list is a subset of another in Python

How to specify multiple return types using type-hints

Printing words vertically in Python

Python Extract words from a given string

Cyclic redundancy check in Python

Finding mean, median, mode in Python without libraries

Python add suffix / add prefix to strings in a list

Why do I get "Pickle - EOFError: Ran out of input" reading an empty file?

Python - Move item to the end of the list

Python - Print list vertically