tests for dataframe, whitelist and backtesting

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