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barakb32's avatar
barakb32
Advocate I
7 years ago
Solved

Python padding

Hi,   I used the Python visual to embed a scatter in my report. I would like the scatter to fill the screen. I have 2 issues with that:   1. The python visual comes with a lot of padding. I have...
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  • barakb32's avatar
    barakb32
    7 years ago

    OK,

     

    Solved it with the size and aspect parameters.

     

    Barak

barakb32's avatar
barakb32
Advocate I
7 years ago

OK,

 

Solved it with the size and aspect parameters.

 

Barak

t-vicarm's avatar
t-vicarm
Microsoft Employee
7 years ago

Hi Barak,

Can you explain better what you mean by "Solved it with the size and aspect parameters."? Where are those parameters? Did you change them in powerbi or in the code in python?

barakb32 wrote:

OK,

 

Solved it with the size and aspect parameters.

 

Barak

 

  • barakb32's avatar
    barakb32
    Advocate I
    7 years ago

    Hi t-vicarm ,

     

    These are parameters of the python command seaborn.lmplot.

     

    The adjusted command looks like this:

     

    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})

     

    Barak

    • aechague's avatar
      aechague
      Advocate II
      6 years ago

      Hi

       

      Just to add more information, for matplotlib is possible to control the padding using the tight_layout() options.

       

      matplotlib.pyplot.tight_layout()
matplotlib.pyplot.show()

      In my case, the axis labels where shown just partially, and aplying this option was possible to control the complete figure size and pad.

       

      Alexis