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test: update rel_mean test to use USDT Pairs
This will allow highlighting a problem pointed out in #12588
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@@ -290,20 +290,22 @@ def test_combine_dataframes_with_mean(testdatadir):
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def test_combined_dataframes_with_rel_mean(testdatadir):
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pairs = ["ETH/BTC", "ADA/BTC"]
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pairs = ["BTC/USDT", "XRP/USDT"]
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data = load_data(datadir=testdatadir, pairs=pairs, timeframe="5m")
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df = combined_dataframes_with_rel_mean(
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data, datetime(2018, 1, 12, tzinfo=UTC), datetime(2018, 1, 28, tzinfo=UTC)
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data,
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fromdt=data["BTC/USDT"].at[0, "date"],
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todt=data["BTC/USDT"].at[data["BTC/USDT"].index[-1], "date"],
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)
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assert isinstance(df, DataFrame)
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assert "ETH/BTC" not in df.columns
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assert "ADA/BTC" not in df.columns
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assert "BTC/USDT" not in df.columns
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assert "XRP/USDT" not in df.columns
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assert "mean" in df.columns
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assert "rel_mean" in df.columns
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assert "count" in df.columns
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assert df.iloc[0]["count"] == 2
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assert df.iloc[-1]["count"] == 2
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assert len(df) < len(data["ETH/BTC"])
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assert len(df) < len(data["BTC/USDT"])
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def test_combine_dataframes_with_mean_no_data(testdatadir):
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