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dzimmanck avatar dzimmanck commented on May 29, 2024

For reference, here is the function I use.

import pandas as pd


def darksky_forecast_to_dataframe(forecast):
    """Convert darksky forecast data list to a dataframe

    Keyword arguments:
    forecast -- list of daksky forecast items

    Returns:
    df -- DatetimeIndexed pandas dataframe of the forecast data
    """

    # convert list of forecast items to list of dictionaries
    data = [entry.__dict__ for entry in forecast]

    # make the dataframe
    df = pd.DataFrame(data)

    # use time as the index
    df.set_index('time', inplace=True)

    return df

from darksky.

Detrous avatar Detrous commented on May 29, 2024

Hi @dzimmanck
Pandas are a heavy requirements. I don’t think it will be needed for just one small function.
I will think what can I do

from darksky.

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