pandas read csv from url

1import csv
2import requests
3
4CSV_URL = 'http://samplecsvs.s3.amazonaws.com/Sacramentorealestatetransactions.csv'
5
6with requests.Session() as s:
7    download = s.get(CSV_URL)
8
9    decoded_content = download.content.decode('utf-8')
10
11    cr = csv.reader(decoded_content.splitlines(), delimiter=',')
12    my_list = list(cr)
13    for row in my_list:
14        print(row)

1data = pd.read_csv(
2    "data/files/complex_data_example.tsv",      # relative python path to subdirectory
3    sep='\t'           # Tab-separated value file.
4    quotechar="'",        # single quote allowed as quote character
5    dtype={"salary": int},             # Parse the salary column as an integer 
6    usecols=['name', 'birth_date', 'salary'].   # Only load the three columns specified.
7    parse_dates=['birth_date'],     # Intepret the birth_date column as a date
8    skiprows=10,         # Skip the first 10 rows of the file
9    na_values=['.', '??']       # Take any '.' or '??' values as NA
10)

1import pandas as pd
2import io
3import requests
4url="https://raw.githubusercontent.com/cs109/2014_data/master/countries.csv"
5s=requests.get(url).content
6c=pd.read_csv(io.StringIO(s.decode('utf-8')))
7