PyPI 官网下载 | askdata-0.4.4018.tar.gz

<h1 align="center"> <img width="300" src="https://uploads-ssl.webflow.com/5dff758010bfa7f94c98e37e/5e9b0ff61b847f206e4c8da8_askdata-logo-black-p-500.png" alt="Askdata"> <br> <br> </h1> # Askdata Examples [](https://colab.research.google.com/github/AskdataInc/askdata-examples/blob/master/notebooks/Askdata%20-%20Quickstart.ipynb) This repository contains examples of [Askdata](https://www.askdata.com/) usage in serving different types of data. ## Installation `` pip install askdata `` or `` pip install -r requirements.txt `` ## Authentication Lets handle our authenticaton ```python from askdata import Askdata askdata = Askdata() ``` Once your insert your account and password you're all set ## Query your data ```python # Load the list of the agents connected to your account as a pandas dataframe get_agents_df = askdata.agents_dataframe() #get one agent agent = askdata.agent("sales_demo") # Simple query df = agent.ask('give me sales by countries') df ``` ## Create a new Workspace (agent) and Create a dataset Starting from a Dataframe ```python # Load the list of the agents connected to your account as a pandas dataframe agent.create_dataset(frame=df, dataset_name='Web Sources') ``` ## Askdata Demo Check the following tutorial, to learn more about Askdata end-to-end. [](https://youtu.be/uEc9ogi2-10)