Download data from an exchange¶

Base exchange class to download data.

dccd.ImportDataCryptoCurrencies(path, …[, …]) Base class to import data about crypto-currencies from some exchanges.

class dccd.ImportDataCryptoCurrencies(path, crypto, span, platform, fiat='EUR', form='xlsx')¶

Base class to import data about crypto-currencies from some exchanges.

Parameters:

Parameters:	path : str The path where data will be save. crypto : str The abreviation of the crypto-currencie. span : {int, ‘weekly’, ‘daily’, ‘hourly’} If str, periodicity of observation. If int, number of the seconds between each observation, minimal span is 60 seconds. platform : str The platform of your choice: ‘Kraken’, ‘Poloniex’. fiat : str A fiat currency or a crypto-currency. form : {‘xlsx’, ‘csv’} Your favorit format. Only ‘xlsx’ and ‘csv’ at the moment.

path : str

The path where data will be save.

crypto : str

The abreviation of the crypto-currencie.

span : {int, ‘weekly’, ‘daily’, ‘hourly’}

If str, periodicity of observation.
If int, number of the seconds between each observation, minimal span is 60 seconds.

platform : str

The platform of your choice: ‘Kraken’, ‘Poloniex’.

fiat : str

A fiat currency or a crypto-currency.

form : {‘xlsx’, ‘csv’}

Your favorit format. Only ‘xlsx’ and ‘csv’ at the moment.

See also

Notes

Don’t use directly this class, use the respective class for each exchange.

Attributes:	pair : str Pair symbol, crypto + fiat. start, end : int Timestamp to starting and ending download data. span : int Number of seconds between observations. full_path : str Path to save data. form : str Format to save data.

Methods

`import_data`(self[, start, end])	Download data for specific time interval.
`save`(self[, form, by_period])	Save data by period (default is year) in the corresponding format and file.
`get_data`(self)	Print the dataframe

get_data(self)¶

Print the dataframe

Returns:	Data : pd.DataFrame Current data.

import_data(self, start='last', end='now')¶

Download data for specific time interval.

Parameters:	start : int or str Timestamp of the first observation of you want as int or date format ‘yyyy-mm-dd hh:mm:ss’ as string. end : int or str /! NOT ALLOWED TO KRAKEN EXCHANGE /! Timestamp of the last observation of you want as int or date format ‘yyyy-mm-dd hh:mm:ss’ as string.
Returns:	data : pd.DataFrame Data sorted and cleaned in a data frame.

save(self, form='xlsx', by_period='Y')¶

Save data by period (default is year) in the corresponding format and file. TODO : to finish

Parameters:	form : {‘xlsx’, ‘csv’} Format to save data. by_period : {‘Y’, ‘M’, ‘D’} If ‘Y’ group data by year. If ‘M’ group data by month. If ‘D’ group data by day.

set_hierarchy(self, liste)¶: You can determine the specific hierarchy of the files where will save your data. TODO : to finish