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fix call to tight_layout #1658

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fix call to tight_layout #1658

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1c57f78
[FIX] tight_layout does not return anything
JordiBForgeFlow Nov 3, 2024
996a48c
fixup!
JordiBForgeFlow Nov 3, 2024
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4 changes: 2 additions & 2 deletions neuralprophet/plot_forecast_matplotlib.py
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Original file line number Diff line number Diff line change
Expand Up @@ -150,7 +150,7 @@ def plot(
log.warning("Legend is available only for the ten first handles")
else:
ax.legend(handles, labels)
fig = fig.tight_layout()
fig.tight_layout()
return fig


Expand Down Expand Up @@ -239,7 +239,7 @@ def plot_components(
elif "auto-regression" in name or "lagged regressor" in name:
plot_multiforecast_component(fcst=fcst, ax=ax, **comp)

fig = fig.tight_layout()
fig.tight_layout()
# Reset multiplicative axes labels after tight_layout adjustment
for ax in multiplicative_axes:
ax = set_y_as_percent(ax)
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2 changes: 1 addition & 1 deletion neuralprophet/plot_model_parameters_matplotlib.py
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Expand Up @@ -137,7 +137,7 @@ def plot_parameters(
multiplicative_axes.append(ax)
weights = multiplicative_events
plot_scalar_weights(weights=weights, plot_name=comp["plot_name"], focus=forecast_in_focus, ax=ax)
fig = fig.tight_layout()
fig.tight_layout()
# Reset multiplicative axes labels after tight_layout adjustment
for ax in multiplicative_axes:
ax = set_y_as_percent(ax)
Expand Down
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