freqtrade_origin/freqtrade/tests/test_dataframe.py

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import pytest
import pandas
from freqtrade import analyze
import freqtrade.optimize
from pandas import DataFrame
_pairs = ['BTC_ETH']
def load_dataframe_pair(pairs):
ld = freqtrade.optimize.load_data(ticker_interval=5, pairs=pairs)
assert isinstance(ld, dict)
assert isinstance(pairs[0], str)
dataframe = ld[pairs[0]]
dataframe = analyze.analyze_ticker(dataframe)
return dataframe
def test_dataframe_load():
dataframe = load_dataframe_pair(_pairs)
assert isinstance(dataframe, pandas.core.frame.DataFrame)
def test_dataframe_columns_exists():
dataframe = load_dataframe_pair(_pairs)
assert 'high' in dataframe.columns
assert 'low' in dataframe.columns
assert 'close' in dataframe.columns