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Minor simplification to weekly plotting logic
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parent
2049217471
commit
9fb8f103d6
1 changed files with 8 additions and 13 deletions
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@ -160,15 +160,13 @@ def plot_components(
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plot_cap=plot_cap,
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)
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elif plot_name in m.seasonalities:
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if plot_name == 'weekly' or m.seasonalities[plot_name]['period'] == 7:
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if min_dt < pd.Timedelta(days=1):
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plot_seasonality(
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m=m, name=plot_name, ax=ax, uncertainty=uncertainty,
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)
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else:
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plot_weekly(
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m=m, name=plot_name, ax=ax, uncertainty=uncertainty, weekly_start=weekly_start
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)
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if (
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(plot_name == 'weekly' or m.seasonalities[plot_name]['period'] == 7)
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and (min_dt == pd.Timedelta(days=1))
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):
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plot_weekly(
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m=m, name=plot_name, ax=ax, uncertainty=uncertainty, weekly_start=weekly_start
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)
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elif plot_name == 'yearly' or m.seasonalities[plot_name]['period'] == 365.25:
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plot_yearly(
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m=m, name=plot_name, ax=ax, uncertainty=uncertainty, yearly_start=yearly_start
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@ -397,10 +395,7 @@ def plot_seasonality(m, name, ax=None, uncertainty=True, figsize=(10, 6)):
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df_y['ds'].dt.to_pydatetime(), seas[name + '_lower'],
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seas[name + '_upper'], color='#0072B2', alpha=0.2)]
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ax.grid(True, which='major', c='gray', ls='-', lw=1, alpha=0.2)
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if name == 'weekly' and period > 1:
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n_ticks = 8
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else:
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n_ticks = 7
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n_ticks = 8
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xticks = pd.to_datetime(np.linspace(start.value, end.value, n_ticks)
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).to_pydatetime()
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ax.set_xticks(xticks)
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