Quickstart - Starter Kit

Setting up

Prerequisite You should have created an account on Rho web app.

In the web app, go to account settings to get an API key. Install the Python SDK:

pip install rho-store --upgrade --no-cache

Import and initialize the client:

main.py

from rho_store import RhoClient

rho_client = RhoClient(api_key="$YOUR_API_KEY")

List available tables:

main.py

tables = rho_client.list_tables()

for table in tables:
    print(table)

Fetch data for a table:

main.py

table = tables[0]
df = table.get_df()

print(df.head())

Upload a dataset

Make sure pandas is installed:

pip install pandas

Upload a dataframe with one line of code:

main.py

import pandas as pd

# example data
emissions_df = pd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/Emissions%20Data.csv")

table = rho_client.store_df(emissions_df, name="emissions_data")
print(table.client_url)  # the URL of the table on Rho web app

Summary

That’s it! You have uploaded and downloaded data from rho using one-liners. In the next section, we will learn how to use different types of upload and merge strategies.

Upload strategies

​Setting up

​Upload a dataset

​Summary

Setting up

Upload a dataset

Summary