To install coinmarketcappy, simply use pip:
$ pip install coinmarketcappy
or install directly from source to include latest changes:
$ pip install git+https://github.com/saporitigianni/coinmarketcappy.git
or clone and then install:
$ git clone https://github.com/saporitigianni/coinmarketcappy.git
$ cd coinmarketcappy
$ python3 setup.py install
Every method supports the arguments 'out_file' and 'wformat' to save the information to a file. If 'out_file' is present then the info will be saved to that file. Use absolute path unless you want to save locally. If 'wformat' is not specified, it will default to 'json' ('csv' also supported)
All methods except for available_snaps and historical_snapshots also support the 'epoch' parameter. If True it will return all times as epochs, if False it will return them as date and time (e.g. '2018-05-01 00:19:31')
import coinmarketcappy as cmc
# Get all available historical snapshots to choose from
# or visit https://coinmarketcap.com/historical/
dates = cmc.available_snaps()
# Retrieve info for the last 10 snapshots
snaps = cmc.historical_snapshots(dates[-10:])
# Percentage of Market Capitalization (Dominance)
dom = cmc.dominance()
# Total Market Capitalization
cap = cmc.total_market_cap()
# Total Market Capitalization (Excluding Bitcoin)
cap = cmc.total_market_cap(exclude_btc=True)
import coinmarketcappy as cmc
# Get a list of all tickers organized by rank
tickers = cmc.get_tickers()
# Get a specific ticker (by its name not symbol. e.g. bitcoin, ethereum,... not btc, eth)
ticker = cmc.get_ticker(name='bitcoin')
# Get ticker's historical data (also by its name)
temp = cmc.get_ticker_historical(name='bitcoin')
# Get global data in ERU
glob = cmc.get_global_data(convert='eur')
This data is being sourced either from the coinmarketcap API or is being scraped from coinmarketcap.com. Its free to use so please respect their rate limit.
Please read the CONTRIBUTING document before making changes that you would like adopted in the code.
Everyone interacting in the coinmarketcappy
project's codebase, issue
trackers, chat rooms, and mailing lists is expected to follow the
PyPA Code of Conduct.