Mcapdom

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

Get underlying data

crypto.dd.mcapdom(symbol: str, interval: str = ‘1d’, start_date: str = ‘2021-09-23’, end_date: str = ‘2022-09-23’) -> pandas.core.frame.DataFrame

Returns market dominance of a coin over time [Source: https://messari.io/]

Parameters
----------
symbol : str
    Crypto symbol to check market cap dominance
interval : str
    Interval frequency (possible values are: 5m, 15m, 30m, 1h, 1d, 1w)
start_date : int
    Initial date like string (e.g., 2021-10-01)
end_date : int
    End date like string (e.g., 2021-10-01)

Returns
-------
pd.DataFrame
    market dominance percentage over time

Getting charts

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

Display market dominance of a coin over time [Source: https://messari.io/]

Parameters
----------
symbol : str
    Crypto symbol to check market cap dominance
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 (possible values are: 5m, 15m, 30m, 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