Pandas read csv from url

Pandas go through csv file

data = pd.read_csv(
    "data/files/complex_data_example.tsv",      # relative python path to subdirectory
    sep='\t'           # Tab-separated value file.
    quotechar="'",        # single quote allowed as quote character
    dtype={"salary": int},             # Parse the salary column as an integer 
    usecols=['name', 'birth_date', 'salary'].   # Only load the three columns specified.
    parse_dates=['birth_date'],     # Intepret the birth_date column as a date
    skiprows=10,         # Skip the first 10 rows of the file
    na_values=['.', '??']       # Take any '.' or '??' values as NA
)

Source: shanelynn.ie

Pandas read csv from url

import pandas as pd
import io
import requests
url="https://raw.githubusercontent.com/cs109/2014_data/master/countries.csv"
s=requests.get(url).content
c=pd.read_csv(io.StringIO(s.decode('utf-8')))

Source: stackoverflow.com

Similar codes

1 vote332 views1 answer
Convert a Video in python to individual Frames
Python
3 votes345 views2 answers
Secondary y axis matplotlib
Python
0 vote345 views1 answer
(for in) printing in python
Python
0 vote325 views1 answer
Get the hour of every instance of the date_time
Python
3 votes316 views1 answer
Delete a key value pair from a dictionary in python
Python
0 vote307 views1 answer
How to replace first line of a textfile python
Python
0 vote360 views1 answer
Dictionary Get All Keys
Python
29 votes380 views6 answers
Create empty pandas dataframe
Python
5 votes348 views3 answers
How to print a message in python
Python
0 vote339 views1 answer
Infix to postfix python code
Python