DataModelScriptPublicApi

Import Libraries

The script begins by importing the necessary libraries:

• requests for making HTTP requests to the CoinGecko API,
• pandas for data manipulation and analysis,
• datetime for handling dates and times, although datetime is not used in the script.

Define the fetch_crypto_data Function

Parameters

The function accepts four parameters:

• crypto_id (default 'ethereum'): Specifies the cryptocurrency ID for which data is fetched.
• vs_currency (default 'usd'): Sets the currency against which the cryptocurrency's price is compared.
• days (default 'max'): Determines the time span of historical data to fetch (e.g., 'max' for all available historical data).
• interval (default 'daily'): Sets the granularity of the price data (e.g., 'daily' for daily prices).

Fetching Data

• Constructs a request URL using these parameters and sends an HTTP GET request to the CoinGecko API.

Extract and Process Data

• The response, assumed to be in JSON format containing price data, is processed to extract prices. These prices are then converted into a pandas DataFrame with columns for timestamp (converted to a human-readable date) and price.

Return Data

• The DataFrame is returned, now containing only the date and price columns, with the original timestamp column removed.

Fetch Ethereum Data

• By calling fetch_crypto_data() without any arguments, the function uses its default parameters to fetch historical price data for Ethereum in USD over its entire available history, at daily intervals.

Save Data to CSV

• The retrieved DataFrame is then saved to a CSV file named ethereum_historical_prices.csv, with no index column.