Gh

To obtain charts, make sure to add chart=True as the last parameter

Get underlying data

crypto.dd.gh(symbol: str, dev_activity: bool = False, interval: str = ‘1d’, start_date: str = ‘2021-09-23T15:38:02Z’, end_date: str = ‘2022-09-23T15:38:02Z’) -> pandas.core.frame.DataFrame

Returns a list of developer activity for a given coin and time interval.

[Source: https://santiment.net/]

Parameters
----------
symbol : str
    Crypto symbol to check github activity
dev_activity: bool
    Whether to filter only for development activity
start_date : int
    Initial date like string (e.g., 2021-10-01)
end_date : int
    End date like string (e.g., 2021-10-01)
interval : str
    Interval frequency (e.g., 1d)

Returns
-------
pd.DataFrame
    developer activity over time

Getting charts

crypto.dd.gh(symbol: str, start_date: str = ‘2021-09-23T15:38:02Z’, dev_activity: bool = False, end_date: str = ‘2022-09-23T15:38:02Z’, interval: str = ‘1d’, export: str = ‘’, external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None, chart=True) -> None

Returns a list of github activity for a given coin and time interval.

[Source: https://santiment.net/]

Parameters
----------
symbol : str
    Crypto symbol to check github activity
dev_activity: bool
    Whether to filter only for development activity
start_date : int
    Initial date like string (e.g., 2021-10-01)
end_date : int
    End date like string (e.g., 2021-10-01)
interval : str
    Interval frequency (some possible values are: 1h, 1d, 1w)
export : str
    Export dataframe data to csv,json,xlsx file
external_axes : Optional[List[plt.Axes]], optional
    External axes (1 axis is expected in the list), by default None