Forum Discussion
Remove outside padding on Python Visual
Hi,
I have created a visual using my python script. I want to learn how to remove all that extra padding between the graph and the visual boundary so that it doesn't take up too much space.
My Python code is:
import seaborn as sns
import matplotlib.pyplot as plt
fig, ax = plt.subplots(figsize=(30,18))
for label in (ax.get_xticklabels() + ax.get_yticklabels()):
label.set_fontsize(30)
plt.xlabel('Year', fontsize=30)
plt.ylabel('Mark', fontsize=30)
ax = sns.swarmplot(x='Year',y='Mark',data=dataset,palette="Set1",size=10)
plt.xticks(rotation=0)
plt.show()
Hi, bobbob123
solutio1:
plt.tight_layout() takes three arguments. You want to set them all to 0. Likeplt.tight_layout(pad=0, w_pad=0, h_pad=0).
solution2:Solved it with the size and aspect parameters. These are parameters of the python command seaborn.lmplot.
Like
lm=sns.lmplot(x='Probability01',y='Impact110',data=dataset,hue='Proj_Type',fit_reg=False,size=10,aspect=1.5,scatter_kws={'s': dataset['Booking']/2000})
Refer:
https://stackoverflow.com/questions/56127743/eliminate-white-space-margins-from-matplotlib-graph-in-power-bi-service
https://community.powerbi.com/t5/Desktop/Python-padding/m-p/644031Best Regards,
Community Support Team _ Zeon Zheng
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
1 Reply
Hi, bobbob123
solutio1:
plt.tight_layout() takes three arguments. You want to set them all to 0. Likeplt.tight_layout(pad=0, w_pad=0, h_pad=0).
solution2:Solved it with the size and aspect parameters. These are parameters of the python command seaborn.lmplot.
Like
lm=sns.lmplot(x='Probability01',y='Impact110',data=dataset,hue='Proj_Type',fit_reg=False,size=10,aspect=1.5,scatter_kws={'s': dataset['Booking']/2000})
Refer:
https://stackoverflow.com/questions/56127743/eliminate-white-space-margins-from-matplotlib-graph-in-power-bi-service
https://community.powerbi.com/t5/Desktop/Python-padding/m-p/644031Best Regards,
Community Support Team _ Zeon Zheng
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.