Import from new `.data._timeseries` mod for anal
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fda7111305
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@ -150,8 +150,9 @@ def anal(
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assert first_dt < last_dt
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src_df = await client.as_df(fqme, period)
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df = mod.with_dts(src_df)
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gaps: pl.DataFrame = mod.detect_time_gaps(df)
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from piker.data import _timeseries as tsmod
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df = tsmod.with_dts(src_df)
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gaps: pl.DataFrame = tsmod.detect_time_gaps(df)
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# TODO: something better with tab completion..
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# is there something more minimal but nearly as
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