How to change defaults in matplot lib and find specific list of rc parameters












0















I am learning matplotlib at the moment and working on changing the rcParams. The documentation on the website appears to be very sparse.



When I look here, there is only a select few examples of rc parameters that can be changed, mainly fonts or line colors, such as:



rcParams['lines.linewidth'] = 2

rcParams['lines.color'] = 'r'


And so forth. I am looking for ways to alter the grid and default figure size for example, but they are not listed here and are only scattered here and there across the web. I want to find a reference list of all the changeable parameters and their descriptions. Does such a reference exist?



Thanks.






python numpy matplotlib plot default-value







share|improve this question



























    0















    I am learning matplotlib at the moment and working on changing the rcParams. The documentation on the website appears to be very sparse.



    When I look here, there is only a select few examples of rc parameters that can be changed, mainly fonts or line colors, such as:



    rcParams['lines.linewidth'] = 2
    
rcParams['lines.color'] = 'r'


    And so forth. I am looking for ways to alter the grid and default figure size for example, but they are not listed here and are only scattered here and there across the web. I want to find a reference list of all the changeable parameters and their descriptions. Does such a reference exist?



    Thanks.






    python numpy matplotlib plot default-value







    share|improve this question

























      0












      0








      0








      I am learning matplotlib at the moment and working on changing the rcParams. The documentation on the website appears to be very sparse.



      When I look here, there is only a select few examples of rc parameters that can be changed, mainly fonts or line colors, such as:



      rcParams['lines.linewidth'] = 2
      
rcParams['lines.color'] = 'r'


      And so forth. I am looking for ways to alter the grid and default figure size for example, but they are not listed here and are only scattered here and there across the web. I want to find a reference list of all the changeable parameters and their descriptions. Does such a reference exist?



      Thanks.






      python numpy matplotlib plot default-value







      share|improve this question














      I am learning matplotlib at the moment and working on changing the rcParams. The documentation on the website appears to be very sparse.



      When I look here, there is only a select few examples of rc parameters that can be changed, mainly fonts or line colors, such as:



      rcParams['lines.linewidth'] = 2
      
rcParams['lines.color'] = 'r'


      And so forth. I am looking for ways to alter the grid and default figure size for example, but they are not listed here and are only scattered here and there across the web. I want to find a reference list of all the changeable parameters and their descriptions. Does such a reference exist?



      Thanks.






      python numpy matplotlib plot default-value




      python numpy matplotlib plot default-value






      share|improve this question













      share|improve this question











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      share|improve this question










      asked Nov 20 '18 at 18:48









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          2 Answers
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          1














          There is a complete tutorial about rc params: Customizing Matplotlib with style sheets and rcParams.



          Further down that tutorial there is a section A sample matplotlibrc file, which contains all valid rc params.



          Another option is to just print all rc params out, 



          print(plt.rcParams)



          Concerning the actual question:





          • The grid can be turned on via



            plt.rcParams["axes.grid"] = True



          • The figure size can be set via 



            plt.rcParams["figure.figsize"] = (8,6)







          share|improve this answer


























          • The above being said, I would like to know what problems you faced searching for this information. Is there any way we could improve the documentation at this point?

            – ImportanceOfBeingErnest
            Nov 20 '18 at 19:06



















          0














          From the documentation, you can find the location of the matplotlibrc on your machine as follows:



          import matplotlib
          
matplotlib.matplotlib_fname()


          In your text editor, you can uncomment the preset commands. This file is read whenever matplotlib is imported.






          share|improve this answer
























          • you may find optional information regarding matplotlibrc in stackoverflow.com/q/23483857/5202571

            – leoburgy
            Nov 20 '18 at 19:02













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          2 Answers
          2






          active

          oldest

          votes








          2 Answers
          2






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          1














          There is a complete tutorial about rc params: Customizing Matplotlib with style sheets and rcParams.



          Further down that tutorial there is a section A sample matplotlibrc file, which contains all valid rc params.



          Another option is to just print all rc params out, 



          print(plt.rcParams)



          Concerning the actual question:





          • The grid can be turned on via



            plt.rcParams["axes.grid"] = True



          • The figure size can be set via 



            plt.rcParams["figure.figsize"] = (8,6)







          share|improve this answer


























          • The above being said, I would like to know what problems you faced searching for this information. Is there any way we could improve the documentation at this point?

            – ImportanceOfBeingErnest
            Nov 20 '18 at 19:06
















          1














          There is a complete tutorial about rc params: Customizing Matplotlib with style sheets and rcParams.



          Further down that tutorial there is a section A sample matplotlibrc file, which contains all valid rc params.



          Another option is to just print all rc params out, 



          print(plt.rcParams)



          Concerning the actual question:





          • The grid can be turned on via



            plt.rcParams["axes.grid"] = True



          • The figure size can be set via 



            plt.rcParams["figure.figsize"] = (8,6)







          share|improve this answer


























          • The above being said, I would like to know what problems you faced searching for this information. Is there any way we could improve the documentation at this point?

            – ImportanceOfBeingErnest
            Nov 20 '18 at 19:06














          1












          1








          1







          There is a complete tutorial about rc params: Customizing Matplotlib with style sheets and rcParams.



          Further down that tutorial there is a section A sample matplotlibrc file, which contains all valid rc params.



          Another option is to just print all rc params out, 



          print(plt.rcParams)



          Concerning the actual question:





          • The grid can be turned on via



            plt.rcParams["axes.grid"] = True



          • The figure size can be set via 



            plt.rcParams["figure.figsize"] = (8,6)







          share|improve this answer















          There is a complete tutorial about rc params: Customizing Matplotlib with style sheets and rcParams.



          Further down that tutorial there is a section A sample matplotlibrc file, which contains all valid rc params.



          Another option is to just print all rc params out, 



          print(plt.rcParams)



          Concerning the actual question:





          • The grid can be turned on via



            plt.rcParams["axes.grid"] = True



          • The figure size can be set via 



            plt.rcParams["figure.figsize"] = (8,6)








          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 20 '18 at 19:10

























          answered Nov 20 '18 at 19:02









          ImportanceOfBeingErnestImportanceOfBeingErnest

          129k12138215




          129k12138215













          • The above being said, I would like to know what problems you faced searching for this information. Is there any way we could improve the documentation at this point?

            – ImportanceOfBeingErnest
            Nov 20 '18 at 19:06



















          • The above being said, I would like to know what problems you faced searching for this information. Is there any way we could improve the documentation at this point?

            – ImportanceOfBeingErnest
            Nov 20 '18 at 19:06

















          The above being said, I would like to know what problems you faced searching for this information. Is there any way we could improve the documentation at this point?

          – ImportanceOfBeingErnest
          Nov 20 '18 at 19:06





          The above being said, I would like to know what problems you faced searching for this information. Is there any way we could improve the documentation at this point?

          – ImportanceOfBeingErnest
          Nov 20 '18 at 19:06













          0














          From the documentation, you can find the location of the matplotlibrc on your machine as follows:



          import matplotlib
          
matplotlib.matplotlib_fname()


          In your text editor, you can uncomment the preset commands. This file is read whenever matplotlib is imported.






          share|improve this answer
























          • you may find optional information regarding matplotlibrc in stackoverflow.com/q/23483857/5202571

            – leoburgy
            Nov 20 '18 at 19:02


















          0














          From the documentation, you can find the location of the matplotlibrc on your machine as follows:



          import matplotlib
          
matplotlib.matplotlib_fname()


          In your text editor, you can uncomment the preset commands. This file is read whenever matplotlib is imported.






          share|improve this answer
























          • you may find optional information regarding matplotlibrc in stackoverflow.com/q/23483857/5202571

            – leoburgy
            Nov 20 '18 at 19:02
















          0












          0








          0







          From the documentation, you can find the location of the matplotlibrc on your machine as follows:



          import matplotlib
          
matplotlib.matplotlib_fname()


          In your text editor, you can uncomment the preset commands. This file is read whenever matplotlib is imported.






          share|improve this answer













          From the documentation, you can find the location of the matplotlibrc on your machine as follows:



          import matplotlib
          
matplotlib.matplotlib_fname()


          In your text editor, you can uncomment the preset commands. This file is read whenever matplotlib is imported.







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 20 '18 at 18:55









          leoburgyleoburgy

          1107




          1107













          • you may find optional information regarding matplotlibrc in stackoverflow.com/q/23483857/5202571

            – leoburgy
            Nov 20 '18 at 19:02





















          • you may find optional information regarding matplotlibrc in stackoverflow.com/q/23483857/5202571

            – leoburgy
            Nov 20 '18 at 19:02



















          you may find optional information regarding matplotlibrc in stackoverflow.com/q/23483857/5202571

          – leoburgy
          Nov 20 '18 at 19:02







          you may find optional information regarding matplotlibrc in stackoverflow.com/q/23483857/5202571

          – leoburgy
          Nov 20 '18 at 19:02




















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