Mkt

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

Get underlying data

crypto.dd.mkt(symbol: str = ‘eth-ethereum’, quotes: str = ‘USD’, sortby: str = ‘pct_volume_share’, ascend: bool = True) -> pandas.core.frame.DataFrame

All markets for given coin and currency [Source: CoinPaprika]

Parameters
----------
symbol: str
    Coin Parpika identifier of coin e.g. eth-ethereum
quotes: str
    Comma separated list of quotes to return.
    Example: quotes=USD,BTC
    Allowed values:
    BTC, ETH, USD, EUR, PLN, KRW, GBP, CAD, JPY, RUB, TRY, NZD, AUD, CHF, UAH, HKD, SGD, NGN,
    PHP, MXN, BRL, THB, CLP, CNY, CZK, DKK, HUF, IDR, ILS, INR, MYR, NOK, PKR, SEK, TWD, ZAR,
    VND, BOB, COP, PEN, ARS, ISK
sortby: str
    Key by which to sort data. Every column name is valid (see for possible values:
    https://api.coinpaprika.com/v1).
ascend: bool
    Flag to sort data ascending

Returns
-------
pandas.DataFrame
    All markets for given coin and currency

Getting charts

crypto.dd.mkt(from_symbol: str = ‘BTC’, to_symbol: str = ‘USD’, limit: int = 20, sortby: str = ‘pct_volume_share’, ascend: bool = True, links: bool = False, export: str = ‘’, chart=True) -> None

Get all markets for given coin id. [Source: CoinPaprika]

Parameters
----------
from_symbol: str
    Cryptocurrency symbol (e.g. BTC)
to_symbol: str
    Quoted currency
limit: int
    Number of records to display
sortby: str
    Key by which to sort data. Every column name is valid (see for possible values:
    https://api.coinpaprika.com/v1).
ascend: bool
    Flag to sort data ascending
links: bool
    Flag to display urls
export : str
    Export dataframe data to csv,json,xlsx file