Bagaimana Anda mengekspor data dengan python?

Question

Ekspor bingkai data ke nilai yang dipisahkan koma (. csv)

Table of Contents Show

Bagaimana cara mengekspor dan mengimpor data dengan Python?
Bagaimana cara mengekspor kumpulan data?
Bagaimana cara mengekspor data dengan Python menggunakan panda?
Bagaimana cara mengekspor tabel dengan Python?

df.to_csv('csv/data frame.csv', index=False)

Ekspor bingkai data ke nilai yang dipisahkan tab (. tsv)

df.to_csv('tsv/data frame.tsv', index=False, sep='\t')

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Ekspor bingkai data ke nilai yang dipisahkan tab (. tab)

df.to_csv('tab/data frame.tab', index=False, sep='\t')

Ekspor bingkai data ke buku kerja Excel 97-2004 (. xls)

df.to_excel('xls/data frame.xls')

## :1: FutureWarning: As the xlwt package is no longer maintained, the xlwt engine will be removed in a future version of pandas. This is the only engine in pandas that supports writing in the xls format. Install openpyxl and write to an xlsx file instead. You can set the option io.excel.xls.writer to 'xlwt' to silence this warning. While this option is deprecated and will also raise a warning, it can be globally set and the warning suppressed.

Ekspor bingkai data ke buku kerja Excel 2007 (. xlsx)

df.to_excel('xlsx/data frame.xlsx')

Ekspor bingkai data ke beberapa lembar buku kerja Excel 2007 (. xlsx)

with pd.ExcelWriter('xlsx/multiple data frames.xlsx') as writer:
    df.to_excel(writer, sheet_name='Sheet_1')
    df.to_excel(writer, sheet_name='Sheet_2')

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Ekspor bingkai data ke nilai yang dipisahkan spasi dalam file teks

import numpy as np

np.savetxt('txt/data frame - space-separated values.txt', df, fmt='%s')

Ekspor bingkai data ke nilai yang dipisahkan koma dalam file teks

np.savetxt('txt/data frame - comma-separated values.txt', df, fmt='%s', delimiter=',')

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Ekspor bingkai data ke nilai yang dipisahkan tab dalam file teks

output = [df.columns.tolist()] + df.values.tolist()
np.savetxt('txt/data frame - tab-separated values.txt', output, fmt='%s', delimiter='\t')

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Ekspor kamus sebagai objek MATLAB (. tikar)

df.to_csv('tsv/data frame.tsv', index=False, sep='\t')

_0

Ekspor kamus sebagai objek Numpy (. npy)

df.to_csv('tsv/data frame.tsv', index=False, sep='\t')

_1

Ekspor kamus ke nilai yang dipisahkan koma (. csv) dalam empat cara berbeda

df.to_csv('tsv/data frame.tsv', index=False, sep='\t')

2

df.to_csv('tsv/data frame.tsv', index=False, sep='\t')

3

df.to_csv('tsv/data frame.tsv', index=False, sep='\t')

4

df.to_csv('tsv/data frame.tsv', index=False, sep='\t')

5

Ekspor kamus ke nilai yang dipisahkan tab (. tsv) dalam empat cara berbeda

df.to_csv('tsv/data frame.tsv', index=False, sep='\t')

6

df.to_csv('tsv/data frame.tsv', index=False, sep='\t')

7

df.to_csv('tsv/data frame.tsv', index=False, sep='\t')

8

df.to_csv('tsv/data frame.tsv', index=False, sep='\t')

9

Ekspor kamus ke nilai yang dipisahkan tab (. tab) dalam empat cara berbeda

df.to_csv('tab/data frame.tab', index=False, sep='\t')

0

df.to_csv('tab/data frame.tab', index=False, sep='\t')

1

df.to_csv('tab/data frame.tab', index=False, sep='\t')

2

df.to_csv('tab/data frame.tab', index=False, sep='\t')

3

Ekspor kamus ke file teks

df.to_csv('tab/data frame.tab', index=False, sep='\t')

_4

Ekspor kamus ke file JSON

df.to_csv('tab/data frame.tab', index=False, sep='\t')

5

Ekspor daftar ke nilai yang dipisahkan koma (. csv)

df.to_csv('tab/data frame.tab', index=False, sep='\t')

6

Ekspor daftar ke nilai yang dipisahkan tab (. tsv)

df.to_csv('tab/data frame.tab', index=False, sep='\t')

7

Ekspor daftar ke nilai yang dipisahkan tab (. tab)

df.to_csv('tab/data frame.tab', index=False, sep='\t')

_8

Ekspor daftar untuk membuka spreadsheet dokumen (. ods)

df.to_csv('tab/data frame.tab', index=False, sep='\t')

_9

Ekspor daftar ke buku kerja Excel 97-2004 (. xls)

df.to_excel('xls/data frame.xls')

0

Ekspor daftar ke file teks (. txt) sebagai satu baris

df.to_excel('xls/data frame.xls')

1

Ekspor daftar ke file teks (. txt) dengan setiap elemen pada baris baru

df.to_excel('xls/data frame.xls')

2

Ekspor daftar ke file HTML (. html)

df.to_excel('xls/data frame.xls')

_3

Ekspor daftar ke file JavaScript Object Notation (JSON) (. json)

df.to_excel('xls/data frame.xls')

_4

Ekspor daftar-daftar ke file teks (. txt)

df.to_excel('xls/data frame.xls')

5

Ekspor daftar daftar ke nilai yang dipisahkan koma (. csv)

df.to_excel('xls/data frame.xls')

6

Ekspor daftar daftar ke nilai yang dipisahkan koma (. csv) (satu baris)

df.to_excel('xls/data frame.xls')

_7

Ekspor daftar-daftar ke file teks (. txt) sebagai nilai yang dipisahkan koma (csv)

df.to_excel('xls/data frame.xls')

8

Ekspor daftar daftar ke file nilai yang dipisahkan tab (. tsv)

df.to_excel('xls/data frame.xls')

_9

Ekspor daftar daftar ke file nilai yang dipisahkan tab (. tab)

## :1: FutureWarning: As the xlwt package is no longer maintained, the xlwt engine will be removed in a future version of pandas. This is the only engine in pandas that supports writing in the xls format. Install openpyxl and write to an xlsx file instead. You can set the option io.excel.xls.writer to 'xlwt' to silence this warning. While this option is deprecated and will also raise a warning, it can be globally set and the warning suppressed.

_0

Ekspor daftar-daftar ke file teks (. txt) sebagai nilai yang dipisahkan tab (tsv)

## :1: FutureWarning: As the xlwt package is no longer maintained, the xlwt engine will be removed in a future version of pandas. This is the only engine in pandas that supports writing in the xls format. Install openpyxl and write to an xlsx file instead. You can set the option io.excel.xls.writer to 'xlwt' to silence this warning. While this option is deprecated and will also raise a warning, it can be globally set and the warning suppressed.

_1

Ekspor daftar daftar ke file JavaScript Object Notation (JSON) (. json)

## :1: FutureWarning: As the xlwt package is no longer maintained, the xlwt engine will be removed in a future version of pandas. This is the only engine in pandas that supports writing in the xls format. Install openpyxl and write to an xlsx file instead. You can set the option io.excel.xls.writer to 'xlwt' to silence this warning. While this option is deprecated and will also raise a warning, it can be globally set and the warning suppressed.

_2

Ekspor daftar daftar ke lembar buku kerja Excel 97-2004 (. xls)

## :1: FutureWarning: As the xlwt package is no longer maintained, the xlwt engine will be removed in a future version of pandas. This is the only engine in pandas that supports writing in the xls format. Install openpyxl and write to an xlsx file instead. You can set the option io.excel.xls.writer to 'xlwt' to silence this warning. While this option is deprecated and will also raise a warning, it can be globally set and the warning suppressed.

_3

Ekspor daftar daftar ke lembar buku kerja Excel 2007 (. xlsx)

## :1: FutureWarning: As the xlwt package is no longer maintained, the xlwt engine will be removed in a future version of pandas. This is the only engine in pandas that supports writing in the xls format. Install openpyxl and write to an xlsx file instead. You can set the option io.excel.xls.writer to 'xlwt' to silence this warning. While this option is deprecated and will also raise a warning, it can be globally set and the warning suppressed.

_4

Ekspor daftar daftar untuk membuka spreadsheet dokumen (. ods)

## :1: FutureWarning: As the xlwt package is no longer maintained, the xlwt engine will be removed in a future version of pandas. This is the only engine in pandas that supports writing in the xls format. Install openpyxl and write to an xlsx file instead. You can set the option io.excel.xls.writer to 'xlwt' to silence this warning. While this option is deprecated and will also raise a warning, it can be globally set and the warning suppressed.

_5

Ekspor string ke file teks - satu baris dalam satu waktu

## :1: FutureWarning: As the xlwt package is no longer maintained, the xlwt engine will be removed in a future version of pandas. This is the only engine in pandas that supports writing in the xls format. Install openpyxl and write to an xlsx file instead. You can set the option io.excel.xls.writer to 'xlwt' to silence this warning. While this option is deprecated and will also raise a warning, it can be globally set and the warning suppressed.

_6

Ekspor string ke file teks - semuanya bersama-sama

## :1: FutureWarning: As the xlwt package is no longer maintained, the xlwt engine will be removed in a future version of pandas. This is the only engine in pandas that supports writing in the xls format. Install openpyxl and write to an xlsx file instead. You can set the option io.excel.xls.writer to 'xlwt' to silence this warning. While this option is deprecated and will also raise a warning, it can be globally set and the warning suppressed.

_7

Ekspor tabel SQL ke spreadsheet

## :1: FutureWarning: As the xlwt package is no longer maintained, the xlwt engine will be removed in a future version of pandas. This is the only engine in pandas that supports writing in the xls format. Install openpyxl and write to an xlsx file instead. You can set the option io.excel.xls.writer to 'xlwt' to silence this warning. While this option is deprecated and will also raise a warning, it can be globally set and the warning suppressed.

_8

Bagaimana cara mengekspor dan mengimpor data dengan Python?

Di bawah Properti Dialog, pilih Python untuk Spark untuk Jenis Skrip dan pilih Impor atau Ekspor untuk Jenis Node. Masukkan properti lain yang diinginkan, seperti Nama Dialog. Di bagian Skrip, ketik atau rekatkan skrip Python untuk Spark Anda untuk mengimpor atau mengekspor data

Bagaimana cara mengekspor kumpulan data?

Mengekspor kumpulan data pribadi . Di bawah File, ketik jalur dan nama file untuk. csv atau klik Telusuri untuk menentukan direktori tujuan lain yang Anda inginkan. In the Script Explorer, select a private dataset you want to export, right-click the selected private dataset, and click Export. Under File, type a path and file name for the . csv file or click Browse to specify a different destination directory where you want to the new .

Bagaimana cara mengekspor data dengan Python menggunakan panda?

Setelah membuat kumpulan data perantara atau final di panda, kita dapat mengekspor nilai dari DataFrame ke beberapa format lain. Yang paling umum adalah CSV, dan perintah untuk melakukannya adalah df. to_csv('namafile .