Cara menambahkan kolom di python numpy

Question

Gunakan larik ini untuk latihan berikut.

Table of Contents Show

Tambahkan kolom dalam larik Numpy
Metode 1. Menggunakan np. menambahkan()
Metode 2. Menggunakan np. menggabungkan
Metode 3. Menggunakan np. menyisipkan()
Metode 4. Menggunakan np. hstack()
Metode 5. Menggunakan np. tumpukan_kolom()
Tambahkan baris dalam array Numpy
Metode 1. Menggunakan np. r_
Metode 2. Menggunakan np. menyisipkan
Metode 3. Menggunakan np. vstack()
Metode 4. Menggunakan numpy. menambahkan()
Bagaimana cara menambahkan kolom di NumPy?
Bagaimana cara menambahkan kolom ke daftar dengan Python?
Bagaimana Anda menambahkan kolom ke matriks dengan Python?
Bagaimana Anda membuat larik kolom dengan Python?

myArray = np.array([[11,12,13], [14,15,16], [17,18,19]])

1. Tambahkan baris elemen baru yang berisi 20, 21 dan 22

2. Tambahkan kolom elemen baru yang berisi 30, 40 dan 50

import numpy as np
arr = np.array([[1, 2], [3, 4]])
arr = np.append(arr, [[5], [6]], axis=1)ctrl + c

import numpy as np

memuat modul Numpy untuk Python

np.array

mendeklarasikan array Numpy

[[1, 2], [3, 4]]

contoh array 2 dimensi untuk menambahkan kolom baru

np.append

menambahkan nilai ke array yang ditentukan

arr

array untuk menambahkan kolom ke

[[5], [6]]

nilai kolom baru untuk ditambahkan

axis=1

tambahkan nilai baru di sepanjang sumbu vertikal (1).

Fungsi numpy.append() dapat digunakan untuk menambahkan kolom tambahan ke array numpy yang ada. Fungsi numpy.append() mengambil tiga parameter, larik yang sudah ada sebelumnya, nilai baru yang akan ditambahkan, dan axis dimana kita ingin menambahkan nilai baru ke larik yang sudah ada sebelumnya. Kita dapat menentukan parameter axis_ ke 1 jika kita ingin menambahkan kolom baru ke array yang sudah ada sebelumnya. Fungsi numpy.append() mengembalikan larik baru di mana nilai baru ditambahkan di akhir larik yang sudah ada sebelumnya. Lihat contoh kode berikut

import numpy as np
array = np.array([[1,2], [3,4], [5,6]])
array2 = np.append(array, [[1],[1],[1]], axis = 1)
array2

Keluaran

Dalam kode di atas, pertama-tama kita menginisialisasi larik pertama kita array dengan fungsi numpy.array() di Python. Kami kemudian menginisialisasi array baru, numpy.append()0, berisi kolom tambahan, dengan fungsi numpy.append() di Python

Diberi array Numpy, tugasnya adalah menambahkan baris/kolom berdasarkan persyaratan ke array Numpy. Mari kita lihat beberapa contoh masalah ini di Python

Tambahkan kolom dalam larik Numpy

Metode 1. Menggunakan np. menambahkan()

Python3

resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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_4

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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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initial_array :  [[ 1  2  3]
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resultant array [[ 1  2  3]
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1

initial_array :  [[ 1  2  3]
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resultant array [[ 1  2  3]
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resultant array [[ 1  2  3  1]
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initial_array :  [[ 1  2  3]
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resultant array [[ 1  2  3]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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6

initial_array :  [[ 1  2  3]
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resultant array [[ 1  2  3]
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7

initial_array :  [[ 1  2  3]
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resultant array [[ 1  2  3]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3]
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4

Keluaran

initial_array :  [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]]
resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

Metode 2. Menggunakan np. menggabungkan

Python3

resultant array [[ 1  2  3  1]
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1

resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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3

initial_array :  [[ 1  2  3]
 [45  4  7]
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resultant array [[ 1  2  3]
 [45  4  7]
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1

initial_array :  [[ 1  2  3]
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resultant array [[ 1  2  3]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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initial_array :  [[ 1  2  3]
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resultant array [[ 1  2  3]
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7

initial_array :  [[ 1  2  3]
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resultant array [[ 1  2  3]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3]
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Keluaran

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

Metode 3. Menggunakan np. menyisipkan()

Python3

resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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3

initial_array :  [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]]

resultant array [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]
 [ 1  2  3]]

1

initial_array :  [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]]

resultant array [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]
 [ 1  2  3]]

2

resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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6

initial_array :  [[ 1  2  3]
 [45  4  7]
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resultant array [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]
 [ 1  2  3]]

7

initial_array :  [[ 1  2  3]
 [45  4  7]
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resultant array [[ 1  2  3]
 [45  4  7]
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 [ 1  2  3]]

8

resultant array [[ 1  2  3  1]
 [45  4  7  2]
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resultant array [[ 1  2  3  1]
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6

resultant array [[ 1  2  3]
 [45  4  7]
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 [ 1  2  3]]

1

resultant array [[ 1  2  3  1]
 [45  4  7  2]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3]
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 [ 1  2  3]]

4

Keluaran

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

Metode 4. Menggunakan np. hstack()

Python3

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

1

resultant array [[ 1  2  3  1]
 [45  4  7  2]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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0

resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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resultant array [[ 1  2  3  1]
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7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

2

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

3

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

1

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

2

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

4

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

87

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

6

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

8

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

0

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

93

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

_94

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

95

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

4

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

97

initial_array :  [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]]

resultant array [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]
 [ 1  2  3]]

8

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

5

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

6

resultant array [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]
 [ 1  2  3]]

1

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

9

resultant array [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]
 [ 1  2  3]]

4

Keluaran

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

Metode 5. Menggunakan np. tumpukan_kolom()

Python3

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

1

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

2

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

3

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

4

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

5

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

6

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

8

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

0

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

1

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

2

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

4

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

6

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

1

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

8

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

0

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

2

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

3

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

1

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

2

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

4

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

87

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

6

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

8

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

0

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

93

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

_94

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

95

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

4

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

41

initial_array :  [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]]

resultant array [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]
 [ 1  2  3]]

8

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

5

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

6

resultant array [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]
 [ 1  2  3]]

1

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

9

resultant array [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]
 [ 1  2  3]]

4

Keluaran.

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

Tambahkan baris dalam array Numpy

Metode 1. Menggunakan np. r_

Python3

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

1

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

2

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

3

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

4

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

5

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

6

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

8

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

0

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

1

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

2

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

4

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

6

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

1

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

8

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

0

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

2

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

3

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

_4

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

5

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

6

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

9

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

0

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

_79

________3______80

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

4

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

87

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

6

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

8

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

0

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

93

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

_89

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

95

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

4

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

92

initial_array :  [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]]

resultant array [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]
 [ 1  2  3]]

8

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

5

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

6

resultant array [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]
 [ 1  2  3]]

1

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

9

resultant array [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]
 [ 1  2  3]]

4

Keluaran

initial_array :  [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]]

resultant array [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]
 [ 1  2  3]]

Metode 2. Menggunakan np. menyisipkan

Python3

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

1

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

2

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

3

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

4

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

5

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

6

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

8

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

0

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

1

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

2

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

4

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

6

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

1

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

8

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

0

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

2

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

3

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

_79

________3______80

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

4

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

87

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

6

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

8

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

0

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

93

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

_33

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

34

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

4

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

36

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

49

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

38

initial_array :  [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]]

resultant array [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]
 [ 1  2  3]]

2

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

4

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

41

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

4

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

49

initial_array :  [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]]

resultant array [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]
 [ 1  2  3]]

7

initial_array :  [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]]

resultant array [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]
 [ 1  2  3]]

8

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

5

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

6

resultant array [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]
 [ 1  2  3]]

1

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

9

resultant array [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]
 [ 1  2  3]]

4

Keluaran

resultant array [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]
 [ 1  2  3]]

Metode 3. Menggunakan np. vstack()

Python3

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

1

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

2

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

3

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

4

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

5

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

6

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

8

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

0

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

1

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

2

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

4

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

6

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

1

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

8

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

0

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

2

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

3

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

_79

________3______80

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

4

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

87

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

6

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

8

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

0

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

93

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

_89

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

95

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

4

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

88

initial_array :  [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]]

resultant array [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]
 [ 1  2  3]]

8

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

5

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

6

resultant array [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]
 [ 1  2  3]]

1

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

9

resultant array [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]
 [ 1  2  3]]

4

Keluaran

resultant array [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]
 [ 1  2  3]]

Metode 4. Menggunakan numpy. menambahkan()

Terkadang kita memiliki array kosong dan kita perlu menambahkan baris di dalamnya. Numpy menyediakan fungsi untuk menambahkan baris ke array Numpy kosong menggunakan numpy. menambahkan() fungsi

Contoh 1. Menambahkan baris baru ke array 2-D kosong

Python3

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

_96

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

1

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

98

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

_99

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

00

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

4

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

19

initial_array :  [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]]

resultant array [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]
 [ 1  2  3]]

72

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

83

resultant array [[ 1  2  3  1]
 [45  4  7  2]
 [ 9  6 10  3]]

7

initial_array :  [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]]

resultant array [[ 1  2  3]
 [45  4  7]
 [ 9  6 10]
 [ 1  2  3]]

_____________________________________________________________________________________________________________________________

Bagaimana cara menambahkan kolom di NumPy?

Solusi termudah adalah menggunakan numpy. insert() melalui np. tambahkan adalah Anda dapat menyisipkan kolom baru ke dalam indeks khusus.

Bagaimana cara menambahkan kolom ke daftar dengan Python?

Algoritma .

Buat DataFrame menggunakan kamus

Buat daftar yang berisi data kolom baru. Pastikan bahwa panjang daftar sesuai dengan panjang data yang sudah ada dalam bingkai data

Masukkan data ke dalam DataFrame menggunakan DataFrame. menetapkan (nama_kolom = data) metode. Ini mengembalikan bingkai data baru

Bagaimana Anda menambahkan kolom ke matriks dengan Python?

Kita dapat menambahkan kolom ke matriks menggunakan metode insert() .

Bagaimana Anda membuat larik kolom dengan Python?

Kami mengindeks array berdasarkan [baris, kolom]. Untuk mendapatkan baris, kami menentukan nomor baris, dan semua kolom di baris itu seperti ini [baris,. ]. Demikian pula, untuk mendapatkan kolom, kami menetapkan bahwa kami ingin semua baris di kolom itu seperti ini. [. , kolom] . Pendekatan ini berguna ketika Anda hanya menginginkan beberapa kolom atau baris.

kode python