sciPy stats.binned_statistic_2d () function | python

| | | | | | | | | | | |

👻 Check our latest review to choose the best laptop for Machine Learning engineers and Deep learning tasks!

stats.binned_statistic_2d (arr1, arr2, values, statistic = & # 39; mean & # 39 ;, bins = 10, range = None) calculates the statistic value for given two-dimensional data.
It works in a similar way to histogram2d. Since the histogram function makes bins and counts no. points in each basket; this function calculates the sum, average, mean -median-mode-in-python-without-libraries/">median, count, or other statistics of values ‚Äã‚Äãfor each bin.

Parameters:
arr1: [array_like] input array to be binned along the first dimension.
arr2: [array_like] input array to be binned along the second dimension.
values: [array_like] on which stats to be calculated.
statistics: Statistics to compute { mean , count, mean -median-mode-in-python-without-libraries/">median, sum, function}. Default is mean .
bin: [int or scalars] If bins is an int, it defines the number of equal-width bins in the given range (10, by default). If bins is a sequence, it defines the bin edges.
range: (float, float) Lower and upper range of the bins and if not provided, range is from x.max () to x.min ().

Results: Statistics value for each bin; bin edges along first and second dimension; bin number.

Code # 1:

# stats.binned_statistic_2d () method

import numpy as np

from scipy import stats

x = np.random.rand ( 10 )

y = np.random.rand ( 10 )

z = np.arange ( 10 )

print ( "x:" , x)

print ( "y : " , y)

print ( "z:" , z)


# amount

print ( "binned_statistic_2d for count:" ,

stats.binned_statistic_2d (x, y, values ‚Äã‚Äã = z ,

statistic = ’ count’ , bins = [ 5 , 5 ]))

Output:

x:
[0.31218238 0.86791445 0.42763346 0.79798587 0.91361299 0.09005856
0.54419846 0.18973948 0.67016378 0.8083121]

y:
[0.35959238 0.69265819 0.18751529 0.98863414 0.97810927 0.24054104
0.76764562 0.60635485 0.61551806 0.63884672]

1: 2 3 4 5 6 7 8 9]

binned_statistic_2d for count: BinnedStatistic2dResult (statistic = array ([[1., 0., 1., 0., 0.],
[0 ., 1., 0., 0., 0.],
[1., 0., 0., 1., 0.],
[0., 0., 1., 0., 0.],
[0., 0., 1., 1., 2.]]), x_edge = array ([0.09005856, 0.25476945, 0.41948033, 0.58419122, 0.74890211,
0.91361299 ]), y_edg e = array ([0.18751529, 0.34773906, 0.50796283, 0.6681866, 0.82841037,
0.98863414]), binnumber = array ([16, 39, 22, 40, 40, 8, 25, 10, 31, 38], dtype = int64))

Code # 2:

# stats.binned_statistic_2d () method

import numpy as np

from scipy import stats

x = np.random.rand ( 10 )

y = np.random.rand ( 10 )

z = np.arange ( 10 )


# greedy

print ( "binned_statistic_2d for mean : " ,

stats.binned_statistic_2d ( x, y, values ‚Äã‚Äã = z,

statistic = mean , bins = [ 5 , 5 ]))

Output:

binned_statistic_2d for mean : BinnedStatistic2dResult (statistic = array ([[5., nan, 7., nan, nan],
[nan, 0., nan, nan, nan],
[2., nan, nan, 6., nan],
[nan, nan, 8., nan, nan],
[nan, nan, 9., 1., 3.5]]), x_edge = array ([0.09005856, 0.25476945, 0.41948033, 0.58419122, 0.74890211,
0.91361299]), y_edge = array ([0.18751529, 0.34773906, 0.50796283, 0.6681866, 0.82841037,
0.98863414]), binnumber = array ([16, 39, 22, 40, 40, 8, 25, 10, 31, 38], dtype = int64))

👻 Read also: what is the best laptop for engineering students?

We hope this article has helped you to resolve the problem. Apart from sciPy stats.binned_statistic_2d () function | python, check other array Python module-related topics.

Want to excel in Python? See our review of the best Python online courses 2023. If you are interested in Data Science, check also how to learn programming in R.

By the way, this material is also available in other languages:



Angelo Jackson

Warsaw | 2023-02-02

I was preparing for my coding interview, thanks for clarifying this - sciPy stats.binned_statistic_2d () function | python in Python is not the simplest one. Checked yesterday, it works!

Boris Williams

Warsaw | 2023-02-02

Thanks for explaining! I was stuck with sciPy stats.binned_statistic_2d () function | python for some hours, finally got it done 🤗. Will get back tomorrow with feedback

Davies Krasiko

London | 2023-02-02

imp Python module is always a bit confusing 😭 sciPy stats.binned_statistic_2d () function | python is not the only problem I encountered. Checked yesterday, it works!

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