Learn how to store different types of data using the WaveAssist SDK.

Basic Usage

import waveassist

# Store a simple string
waveassist.store_data("welcome_message", "Hello, World!")

# Store a dictionary
user_data = {"name": "Alice", "age": 30}
waveassist.store_data("user_profile", user_data)

Storing DataFrames

import pandas as pd
import waveassist

# Create a sample DataFrame
df = pd.DataFrame({
    "name": ["Alice", "Bob", "Charlie"],
    "score": [95, 88, 92]
})

# Store the DataFrame
waveassist.store_data("user_scores", df)

Function Parameters

ParameterTypeRequiredDescription
keystringYesUnique identifier for the data
valueanyYesData to store (string, number, dict, DataFrame)
environmentstringNoOverride default environment

Learn how to store different types of data using the WaveAssist SDK.

Basic Usage

import waveassist

# Store a simple string
waveassist.store_data("welcome_message", "Hello, World!")

# Store a dictionary
user_data = {"name": "Alice", "age": 30}
waveassist.store_data("user_profile", user_data)

Storing DataFrames

import pandas as pd
import waveassist

# Create a sample DataFrame
df = pd.DataFrame({
    "name": ["Alice", "Bob", "Charlie"],
    "score": [95, 88, 92]
})

# Store the DataFrame
waveassist.store_data("user_scores", df)

Function Parameters

ParameterTypeRequiredDescription
keystringYesUnique identifier for the data
valueanyYesData to store (string, number, dict, DataFrame)
environmentstringNoOverride default environment