You can install the releases from PyPI:
$ pip install pandas-td
For Mac OS X users, you can install Pandas and Jupyter as follows:
# Use Homebrew to install Python 3.x
$ brew install python3
# Install pandas, pandas-td, matplotlib, and ipython[notebook]
$ pip3 install -r https://raw.githubusercontent.com/treasure-data/pandas-td/master/contrib/jupyter/requirements.txt
# Set API key and start a session
$ export TD_API_KEY=...
$ ipython notebook
import os
import pandas_td as td
# Initialize connection
con = td.connect(apikey=os.environ['TD_API_KEY'], endpoint='https://api.treasuredata.com/')
engine = con.query_engine(database='sample_datasets', type='presto')
# Read Treasure Data query into a DataFrame.
df = td.read_td('select * from www_access', engine)
# Read Treasure Data table, sampling 5 percent of data, into a DataFrame.
df = td.read_td_table('nasdaq', engine, sample=0.05, limit=10000)
# Write a DataFrame to a Treasure Data table.
td.to_td(df, 'my_db.test_table', con, if_exists='replace', index=False)
Apache Software License, Version 2.0