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pytd_treasure_data_sql_query_to_pandas_dataframe.py

python

Connects to Treasure Data, executes a SQL query, and retrieves the results as a pan

15d ago16 linestreasure-data/pytd
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pytd_treasure_data_sql_query_to_pandas_dataframe.py
1import pytd
2import pandas as pd
3
4# Initialize the client
5# Ensure TD_API_KEY and TD_API_SERVER are set in your environment variables
6# or pass them directly: pytd.Client(apikey='your_key', endpoint='https://api.treasuredata.com')
7client = pytd.Client(database='sample_datasets')
8
9# Execute a query and get a results dictionary
10# (includes 'data' as a list and 'columns' as a list of column names)
11results = client.query('SELECT symbol, count(*) as cnt FROM nasdaq GROUP BY symbol')
12
13# Convert the results to a pandas DataFrame
14df = pd.DataFrame(**results)
15
16print(df.head())