saymrwulf/prophet
1
0
Fork 0
mirror of https://github.com/saymrwulf/prophet.git synced 2026-05-14 20:48:08 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

Removed remaining depreciated datetime conversions (#2492)

Browse source 
an extension of #2523, removed remaining instances of the depreciated and unnecessary use of .dt.to_pydatetime()
This commit is contained in:
Yuyu Zhou 2024-07-13 22:01:26 +08:00 committed by GitHub
parent 36421b70f0
commit 8f5d8e87ca
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
1 changed files with 5 additions and 5 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

10
python/prophet/plot.py
View file

@ -225,7 +225,7 @@ def plot_forecast_component(
if not ax:
fig = plt.figure(facecolor='w', figsize=figsize)
ax = fig.add_subplot(111)
fcst_t = fcst['ds'].dt.to_pydatetime()
fcst_t = fcst['ds']
artists += ax.plot(fcst_t, fcst[name], ls='-', c='#0072B2')
if 'cap' in fcst and plot_cap:
artists += ax.plot(fcst_t, fcst['cap'], ls='--', c='k')
@ -348,10 +348,10 @@ def plot_yearly(m, ax=None, uncertainty=True, yearly_start=0, figsize=(10, 6), n
df_y = seasonality_plot_df(m, days)
seas = m.predict_seasonal_components(df_y)
artists += ax.plot(
df_y['ds'].dt.to_pydatetime(), seas[name], ls='-', c='#0072B2')
df_y['ds'], seas[name], ls='-', c='#0072B2')
if uncertainty and m.uncertainty_samples:
artists += [ax.fill_between(
df_y['ds'].dt.to_pydatetime(), seas[name + '_lower'],
df_y['ds'], seas[name + '_lower'],
seas[name + '_upper'], color='#0072B2', alpha=0.2)]
ax.grid(True, which='major', c='gray', ls='-', lw=1, alpha=0.2)
months = MonthLocator(range(1, 13), bymonthday=1, interval=2)
@ -394,11 +394,11 @@ def plot_seasonality(m, name, ax=None, uncertainty=True, figsize=(10, 6)):
days = pd.to_datetime(np.linspace(start.value, end.value, plot_points))
df_y = seasonality_plot_df(m, days)
seas = m.predict_seasonal_components(df_y)
artists += ax.plot(df_y['ds'].dt.to_pydatetime(), seas[name], ls='-',
artists += ax.plot(df_y['ds'], seas[name], ls='-',
c='#0072B2')
if uncertainty and m.uncertainty_samples:
artists += [ax.fill_between(
df_y['ds'].dt.to_pydatetime(), seas[name + '_lower'],
df_y['ds'], seas[name + '_lower'],
seas[name + '_upper'], color='#0072B2', alpha=0.2)]
ax.grid(True, which='major', c='gray', ls='-', lw=1, alpha=0.2)
n_ticks = 8