如何使用 Pandas 从 GitHub 读取 CSV 文件

Question

Im trying to read CSV file thats on github with Python using pandas> i have looked all over the web, and I tried some solution that I found on this website, but they do not work.What am I doing wrong?

I have tried this:

import pandas as pd

url = 'https://github.com/lukes/ISO-3166-Countries-with-Regional-Codes/blob/master/all/all.csv'
df = pd.read_csv(url,index_col=0)
#df = pd.read_csv(url)

print(df.head(5))

Answer 1

You should provide URL to raw content. Try using this:

import pandas as pd

url = 'https://raw.githubusercontent.com/lukes/ISO-3166-Countries-with-Regional-Codes/master/all/all.csv'
df = pd.read_csv(url, index_col=0)
print(df.head(5))

Output:

               alpha-2           ...            intermediate-region-code
name                             ...                                    
Afghanistan         AF           ...                                 NaN
Åland Islands       AX           ...                                 NaN
Albania             AL           ...                                 NaN
Algeria             DZ           ...                                 NaN
American Samoa      AS           ...                                 NaN

Answer 2

Add ?raw=true at the end of the GitHub URL to get the raw file link.

In your case,

import pandas as pd
url = 'https://github.com/lukes/ISO-3166-Countries-with-Regional-Codes/blob/master/all/all.csv?raw=true'
df = pd.read_csv(url,index_col=0)
#df = pd.read_csv(url)

print(df.head(5))

Note : This works only with GitHub links and not with GitLab or Bitbucket links.

Answer 3

I recommend to either use pandas as you tried to and others here have explained, or depending on the application, the python csv-handler CommaSeperatedPython , which is a minimalistic wrapper for the native csv-library.

The library returns the contents of a file as a 2-Dimensional String-Array. It's is in its very early stage though, so if you want to do large scale data-analysis, I would suggest Pandas.

Answer 4

You can copy/paste the url and change 2 things:

1. Remove "blob"
2. Replace github.com by raw.githubusercontent.com

For instance this link:

https://github.com/mwaskom/seaborn-data/blob/master/iris.csv

Works this way:

import pandas as pd

pd.read_csv('https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv')

Answer 5

First convert the github csv file to raw in order to access the data, follow the link below in comment on how to convert csv file to raw .

import pandas as pd

url_data = (r'https://raw.githubusercontent.com/oderofrancis/rona/main/Countries-Continents.csv')

data_csv = pd.read_csv(url_data)

data_csv.head()