Bagaimana python menghitung persentil?

Question

Persentil menunjukkan persentase skor yang berada di bawah nilai tertentu. Seorang individu dengan IQ 120, misalnya, berada pada persentil ke-91, yang berarti IQ-nya lebih besar dari 91% orang lain.

Table of Contents Show

Calculate Percentile in Python Using the from scipy import stats import numpy as np array = np.arange(100) percentile=stats.scoreatpercentile(array, 50) print("The percentile is:",percentile) 7 Package
Hitung Persentil dengan Python Menggunakan Paket numpy.percentile(a, q, axis=None, out=None, overwrite_input=False, interpolation='linear', keepdims=False) 2
Calculate Percentile in Python Using the numpy.percentile(a, q, axis=None, out=None, overwrite_input=False, interpolation='linear', keepdims=False) 8 Package
Calculate Percentile in Python Using the import numpy as np arry = np.array([4,6,8,10,12]) percentile = np.percentile(arry, 50) print("The percentile is:",percentile) 4 Package
Calculate Percentile in Python Using the NumPy’s Linear Interpolation Method
Bagaimana mereka menghitung persentil?
Bagaimana Anda menemukan persentil ke-50 di Pandas Python?
Bagaimana Anda menghitung persentil dari seri numerik di panda?
Bagaimana Anda menghitung kuantil dengan Python?

Artikel ini akan membahas beberapa metode untuk menghitung persentil dengan Python

Calculate Percentile in Python Using the from scipy import stats import numpy as np array = np.arange(100) percentile=stats.scoreatpercentile(array, 50) print("The percentile is:",percentile) 7 Package

Paket ini akan menghitung skor rangkaian masukan pada persentil tertentu. Sintaks fungsi

from scipy import stats
import numpy as np

array = np.arange(100)

percentile=stats.scoreatpercentile(array, 50)

print("The percentile is:",percentile)

8 diberikan di bawah ini

scipy.stats.scoreatpercentile(a, per, limit=(), interpolation_method='fraction', axis=None)

Dalam fungsi

from scipy import stats
import numpy as np

array = np.arange(100)

percentile=stats.scoreatpercentile(array, 50)

print("The percentile is:",percentile)

8, parameter

numpy.percentile(a, q, axis=None, out=None, overwrite_input=False, interpolation='linear', keepdims=False)

0 mewakili array 1-D, dan

numpy.percentile(a, q, axis=None, out=None, overwrite_input=False, interpolation='linear', keepdims=False)

1 menentukan persentil mulai dari 0 hingga 100. Dua parameter lainnya adalah opsional. Perpustakaan

numpy.percentile(a, q, axis=None, out=None, overwrite_input=False, interpolation='linear', keepdims=False)

2 digunakan untuk mendapatkan angka yang kami hitung persentil

The complete example code is given below

from scipy import stats
import numpy as np

array = np.arange(100)

percentile=stats.scoreatpercentile(array, 50)

print("The percentile is:",percentile)

Keluaran

Hitung Persentil dengan Python Menggunakan Paket numpy.percentile(a, q, axis=None, out=None, overwrite_input=False, interpolation='linear', keepdims=False) 2

Paket ini memiliki fungsi

numpy.percentile(a, q, axis=None, out=None, overwrite_input=False, interpolation='linear', keepdims=False)

4 yang akan menghitung persentil dari array yang diberikan. Sintaks fungsi

numpy.percentile(a, q, axis=None, out=None, overwrite_input=False, interpolation='linear', keepdims=False)

4 diberikan di bawah ini

numpy.percentile(a, q, axis=None, out=None, overwrite_input=False, interpolation='linear', keepdims=False)

Parameter

numpy.percentile(a, q, axis=None, out=None, overwrite_input=False, interpolation='linear', keepdims=False)

_6 mewakili angka perhitungan persentil.

numpy.percentile(a, q, axis=None, out=None, overwrite_input=False, interpolation='linear', keepdims=False)

_0 mewakili array sementara parameter lainnya adalah opsional

The complete example code is given below

import numpy as np

arry = np.array([4,6,8,10,12])

percentile = np.percentile(arry, 50)

print("The percentile is:",percentile)

Keluaran

Calculate Percentile in Python Using the numpy.percentile(a, q, axis=None, out=None, overwrite_input=False, interpolation='linear', keepdims=False) 8 Package

Paket

numpy.percentile(a, q, axis=None, out=None, overwrite_input=False, interpolation='linear', keepdims=False)

8 dengan fungsi dasarnya -

import numpy as np

arry = np.array([4,6,8,10,12])

percentile = np.percentile(arry, 50)

print("The percentile is:",percentile)

0 dapat digunakan untuk menghitung persentil yang berbeda

The complete example code is given below

import math

arry=[1,2,3,4,5,6,7,8,9,10]

def calculate_percentile(arry, percentile):
    size = len(arry)
    return sorted(arry)[int(math.ceil((size * percentile) / 100)) - 1]

percentile_25 = calculate_percentile(arry, 25)
percentile_50 = calculate_percentile(arry, 50)
percentile_75 = calculate_percentile(arry, 75)

print("The 25th percentile is:",percentile_25)
print("The 50th percentile is:",percentile_50)
print("The 75th percentile is:",percentile_75)

The

import numpy as np

arry = np.array([4,6,8,10,12])

percentile = np.percentile(arry, 50)

print("The percentile is:",percentile)

1 rounds off the value and returns the smallest integer greater than or equal to

import numpy as np

arry = np.array([4,6,8,10,12])

percentile = np.percentile(arry, 50)

print("The percentile is:",percentile)

2, while the

import numpy as np

arry = np.array([4,6,8,10,12])

percentile = np.percentile(arry, 50)

print("The percentile is:",percentile)

3 function sorts the array

Keluaran

The 25th percentile is: 3
The 50th percentile is: 5
The 75th percentile is: 8

Calculate Percentile in Python Using the import numpy as np arry = np.array([4,6,8,10,12]) percentile = np.percentile(arry, 50) print("The percentile is:",percentile) 4 Package

Fungsi

import numpy as np

arry = np.array([4,6,8,10,12])

percentile = np.percentile(arry, 50)

print("The percentile is:",percentile)

_5 dalam paket

import numpy as np

arry = np.array([4,6,8,10,12])

percentile = np.percentile(arry, 50)

print("The percentile is:",percentile)

4 digunakan untuk memecah data menjadi probabilitas yang sama dan mengembalikan daftar distribusi

import numpy as np

arry = np.array([4,6,8,10,12])

percentile = np.percentile(arry, 50)

print("The percentile is:",percentile)

7. The syntax of this function is given below

statistics.quantiles(data, *, n=4, method='exclusive')

The complete example code is given below

from statistics import quantiles

data =[1,2,3,4,5]

percentle=quantiles(data, n=4)

print("The Percentile is:",percentle)

Keluaran

The Percentile is: [1.5, 3.0, 4.5]

Calculate Percentile in Python Using the NumPy’s Linear Interpolation Method

Kita dapat menghitung persentil yang berbeda menggunakan mode interpolasi. The interpolation modes are

import numpy as np

arry = np.array([4,6,8,10,12])

percentile = np.percentile(arry, 50)

print("The percentile is:",percentile)

8,

import numpy as np

arry = np.array([4,6,8,10,12])

percentile = np.percentile(arry, 50)

print("The percentile is:",percentile)

9,

import math

arry=[1,2,3,4,5,6,7,8,9,10]

def calculate_percentile(arry, percentile):
    size = len(arry)
    return sorted(arry)[int(math.ceil((size * percentile) / 100)) - 1]

percentile_25 = calculate_percentile(arry, 25)
percentile_50 = calculate_percentile(arry, 50)
percentile_75 = calculate_percentile(arry, 75)

print("The 25th percentile is:",percentile_25)
print("The 50th percentile is:",percentile_50)
print("The 75th percentile is:",percentile_75)

0,

import math

arry=[1,2,3,4,5,6,7,8,9,10]

def calculate_percentile(arry, percentile):
    size = len(arry)
    return sorted(arry)[int(math.ceil((size * percentile) / 100)) - 1]

percentile_25 = calculate_percentile(arry, 25)
percentile_50 = calculate_percentile(arry, 50)
percentile_75 = calculate_percentile(arry, 75)

print("The 25th percentile is:",percentile_25)
print("The 50th percentile is:",percentile_50)
print("The 75th percentile is:",percentile_75)

1 and

import math

arry=[1,2,3,4,5,6,7,8,9,10]

def calculate_percentile(arry, percentile):
    size = len(arry)
    return sorted(arry)[int(math.ceil((size * percentile) / 100)) - 1]

percentile_25 = calculate_percentile(arry, 25)
percentile_50 = calculate_percentile(arry, 50)
percentile_75 = calculate_percentile(arry, 75)

print("The 25th percentile is:",percentile_25)
print("The 50th percentile is:",percentile_50)
print("The 75th percentile is:",percentile_75)

2. Interpolasi ini digunakan saat persentil berada di antara dua titik data,

import math

arry=[1,2,3,4,5,6,7,8,9,10]

def calculate_percentile(arry, percentile):
    size = len(arry)
    return sorted(arry)[int(math.ceil((size * percentile) / 100)) - 1]

percentile_25 = calculate_percentile(arry, 25)
percentile_50 = calculate_percentile(arry, 50)
percentile_75 = calculate_percentile(arry, 75)

print("The 25th percentile is:",percentile_25)
print("The 50th percentile is:",percentile_50)
print("The 75th percentile is:",percentile_75)

3 dan

import math

arry=[1,2,3,4,5,6,7,8,9,10]

def calculate_percentile(arry, percentile):
    size = len(arry)
    return sorted(arry)[int(math.ceil((size * percentile) / 100)) - 1]

percentile_25 = calculate_percentile(arry, 25)
percentile_50 = calculate_percentile(arry, 50)
percentile_75 = calculate_percentile(arry, 75)

print("The 25th percentile is:",percentile_25)
print("The 50th percentile is:",percentile_50)
print("The 75th percentile is:",percentile_75)

4. Ketika nilai persentil adalah

import math

arry=[1,2,3,4,5,6,7,8,9,10]

def calculate_percentile(arry, percentile):
    size = len(arry)
    return sorted(arry)[int(math.ceil((size * percentile) / 100)) - 1]

percentile_25 = calculate_percentile(arry, 25)
percentile_50 = calculate_percentile(arry, 50)
percentile_75 = calculate_percentile(arry, 75)

print("The 25th percentile is:",percentile_25)
print("The 50th percentile is:",percentile_50)
print("The 75th percentile is:",percentile_75)

_3, itu adalah mode interpolasi yang lebih rendah,

import math

arry=[1,2,3,4,5,6,7,8,9,10]

def calculate_percentile(arry, percentile):
    size = len(arry)
    return sorted(arry)[int(math.ceil((size * percentile) / 100)) - 1]

percentile_25 = calculate_percentile(arry, 25)
percentile_50 = calculate_percentile(arry, 50)
percentile_75 = calculate_percentile(arry, 75)

print("The 25th percentile is:",percentile_25)
print("The 50th percentile is:",percentile_50)
print("The 75th percentile is:",percentile_75)

4 mewakili mode interpolasi yang lebih tinggi, dan

import math

arry=[1,2,3,4,5,6,7,8,9,10]

def calculate_percentile(arry, percentile):
    size = len(arry)
    return sorted(arry)[int(math.ceil((size * percentile) / 100)) - 1]

percentile_25 = calculate_percentile(arry, 25)
percentile_50 = calculate_percentile(arry, 50)
percentile_75 = calculate_percentile(arry, 75)

print("The 25th percentile is:",percentile_25)
print("The 50th percentile is:",percentile_50)
print("The 75th percentile is:",percentile_75)

7 mewakili mode linier di mana

import math

arry=[1,2,3,4,5,6,7,8,9,10]

def calculate_percentile(arry, percentile):
    size = len(arry)
    return sorted(arry)[int(math.ceil((size * percentile) / 100)) - 1]

percentile_25 = calculate_percentile(arry, 25)
percentile_50 = calculate_percentile(arry, 50)
percentile_75 = calculate_percentile(arry, 75)

print("The 25th percentile is:",percentile_25)
print("The 50th percentile is:",percentile_50)
print("The 75th percentile is:",percentile_75)

8 menunjukkan indeks yang dikelilingi oleh

import math

arry=[1,2,3,4,5,6,7,8,9,10]

def calculate_percentile(arry, percentile):
    size = len(arry)
    return sorted(arry)[int(math.ceil((size * percentile) / 100)) - 1]

percentile_25 = calculate_percentile(arry, 25)
percentile_50 = calculate_percentile(arry, 50)
percentile_75 = calculate_percentile(arry, 75)

print("The 25th percentile is:",percentile_25)
print("The 50th percentile is:",percentile_50)
print("The 75th percentile is:",percentile_75)

3 dan

import math

arry=[1,2,3,4,5,6,7,8,9,10]

def calculate_percentile(arry, percentile):
    size = len(arry)
    return sorted(arry)[int(math.ceil((size * percentile) / 100)) - 1]

percentile_25 = calculate_percentile(arry, 25)
percentile_50 = calculate_percentile(arry, 50)
percentile_75 = calculate_percentile(arry, 75)

print("The 25th percentile is:",percentile_25)
print("The 50th percentile is:",percentile_50)
print("The 75th percentile is:",percentile_75)

4

The complete example code for linear interpolation mode is given below

import numpy as np

arry=np.array([1,2,3,4,5,6,7,8,9,10])

print('percentiles using interpolation = ', "linear")

percentile_10 = np.percentile(arry, 10,interpolation='linear') 
percentile_50 = np.percentile(arry, 50,interpolation='linear') 
percentile_75 = np.percentile(arry, 75,interpolation='linear')

print('percentile_10 = ',percentile_10,', median = ',percentile_50,' and percentile_75 = ',percentile_75)

Kami menggunakan fungsi ________22______1 dengan parameter tambahan

The 25th percentile is: 3
The 50th percentile is: 5
The 75th percentile is: 8

2. Anda dapat melihat bahwa kami mendapatkan nilai float untuk interpolasi ini

Bagaimana mereka menghitung persentil?

Oleh karena itu, rumus persentilnya adalah. .

Persentil = (n/T) × 100

Percentile = (Number of Values Below “x” / Total Number of Values) × 100

Contoh 1. Nilai yang diperoleh 10 siswa adalah 38, 47, 49, 58, 60, 65, 70, 79, 80, 92. .

Larutan

Bagaimana Anda menemukan persentil ke-50 di Pandas Python?

Ikhtisar Metode Kuantil Panda .

q=[0. 5]. float atau array yang menyediakan nilai kuantil untuk dihitung

sumbu=[0]. sumbu untuk menghitung persentil pada (0 untuk baris dan 1 untuk kolom)

numeric_only=[Benar]. diatur ke False , hitung juga nilai untuk kolom datetime dan timedelta

Bagaimana Anda menghitung persentil dari seri numerik di panda?

Hitung kuantil bergulir. Mengembalikan persentil ke-q dari elemen array. .

linier. i + (j - i) * fraction , dimana fraction adalah bagian pecahan dari indeks yang dikelilingi oleh i dan j

lebih rendah. saya

lebih tinggi. j

terdekat. i atau j mana yang terdekat

titik tengah. ( i + j ) / 2

Bagaimana Anda menghitung kuantil dengan Python?

quantile() mengambil sebuah array dan angka mengatakan q antara 0 dan 1. Mengembalikan nilai pada kuantil ke-q . Misalnya, numpy. kuantil(data, 0. 25) mengembalikan nilai pada kuartil pertama dari data set data.

kode python