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ruff formatting
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iglu_python/extension/plots.py

Lines changed: 6 additions & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -68,6 +68,7 @@ def plot_daily(cgm_timeseries: pd.Series, lower: int = 70, upper: int = 140) ->
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fig.tight_layout()
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return fig
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71+
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def plot_statistics(cgm_timeseries: pd.Series, lower: int = 70, upper: int = 140) -> plt.Figure:
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"""
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Plot statistical representation of daily trends
@@ -89,7 +90,6 @@ def plot_statistics(cgm_timeseries: pd.Series, lower: int = 70, upper: int = 140
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time_diffs = cgm_timeseries.index.to_series().diff()
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dt0 = int(time_diffs.mode().iloc[0].total_seconds() / 60)
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# Create time grid
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start_time = cgm_timeseries.index.min().floor("D")
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end_time = cgm_timeseries.index.max().ceil("D")
@@ -124,13 +124,13 @@ def plot_statistics(cgm_timeseries: pd.Series, lower: int = 70, upper: int = 140
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fig, ax = plt.subplots(figsize=(12, 6))
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# plot mean sample trends
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ax.plot(time_grid_one_day,mean_sample_trends, color="orange", alpha=1, linewidth=3, label='Mean sample trends')
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ax.plot(time_grid_one_day, mean_sample_trends, color="orange", alpha=1, linewidth=3, label="Mean sample trends")
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# plot quantiles
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ax.fill_between(time_grid_one_day, quantiles[0], quantiles[1], alpha=0.25, color="blue",label='10% quantile')
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ax.fill_between(time_grid_one_day, quantiles[1], mean_sample_trends, alpha=0.50, color="blue",label='25% quantile')
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ax.fill_between(time_grid_one_day, mean_sample_trends, quantiles[2], alpha=0.50, color="blue",label='75% quantile')
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ax.fill_between(time_grid_one_day, quantiles[2], quantiles[3], alpha=0.25, color="blue",label='90% quantile')
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ax.fill_between(time_grid_one_day, quantiles[0], quantiles[1], alpha=0.25, color="blue", label="10% quantile")
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ax.fill_between(time_grid_one_day, quantiles[1], mean_sample_trends, alpha=0.50, color="blue", label="25% quantile")
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ax.fill_between(time_grid_one_day, mean_sample_trends, quantiles[2], alpha=0.50, color="blue", label="75% quantile")
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ax.fill_between(time_grid_one_day, quantiles[2], quantiles[3], alpha=0.25, color="blue", label="90% quantile")
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ax.axhline(y=upper, color="orange", linestyle="--", alpha=0.7, label=f"Hyper threshold ({upper} mg/dL)")
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ax.axhline(y=lower, color="green", linestyle="--", alpha=0.7, label=f"Hypo threshold ({lower} mg/dL)")

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