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

30 votes149 views4 answers
How to convert data type of a column in pandas
Python
2 votes152 views1 answer
Pandas reset row indices
Python
0 vote167 views1 answer
Group a dataset
Python
0 vote180 views1 answer
Pd.DataFrame(lm.coef_,X.columns,columns=['Coeff'])
Python
0 vote150 views1 answer
Discord.py autorole
Python
1 vote150 views1 answer
Variable inside class not detecting global variable in python
Python
0 vote165 views1 answer
Python return statemet
Python
0 vote142 views2 answers
Read one column pandas
Python
3 votes163 views2 answers
List of dict values
Python
0 vote154 views1 answer
Natsort python pip install
Python