How to change size of plot in xgboost.plot_importance?
Question:
xgboost.plot_importance(model, importance_type='gain')
I am not able to change size of this plot. I want to save this figure with proper size so that I can use it in pdf. I want similar like figize
Answers:
It looks like plot_importance
return an Axes
object
ax = xgboost.plot_importance(...)
fig = ax.figure
fig.set_size_inches(h, w)
It also looks like you can pass an axes in
fig, ax = plt.subplots(figsize=(h, w))
xgboost.plot_importance(..., ax=ax)
import matplotlib.pyplot as plt
fig, ax = plt.subplots(figsize=(10, 20))
xgb.plot_importance(bst, ax=ax)
plt.show()
xgboost.plot_importance(model, importance_type='gain')
I am not able to change size of this plot. I want to save this figure with proper size so that I can use it in pdf. I want similar like figize
It looks like plot_importance
return an Axes
object
ax = xgboost.plot_importance(...)
fig = ax.figure
fig.set_size_inches(h, w)
It also looks like you can pass an axes in
fig, ax = plt.subplots(figsize=(h, w))
xgboost.plot_importance(..., ax=ax)
import matplotlib.pyplot as plt
fig, ax = plt.subplots(figsize=(10, 20))
xgb.plot_importance(bst, ax=ax)
plt.show()