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Matplotlib Fancy arrow/Patch edge width


How do you change the size of figures drawn with matplotlib?running matplotlib or enthought.mayavi.mlab from a py-shell inside emacs on windowsSave plot to image file instead of displaying it using Matplotlibmatplotlib can not see the effect of setting edgecolor in plt.savefig() or plt.figure()How to make 'fuller' axis arrows with matplotlibHow to make IPython notebook matplotlib plot inlineAlter the width of an annotate arrow in matplotlibHow to replace matplotlib legend and keep same location?How to do a scatter plot with different edgecolor in matplotlib?Unpacking values in python













0















The following code will produce a fancy arrow with matplotlib :



import matplotlib.pyplot as plt

xy = [0.2,0.2]
xytext =[0.5,0.5]

plt.figure()
ax = plt.gca()
ax.annotate("", xy=xy, xytext=xytext,arrowprops=dict(arrowstyle="<|-", edgecolor = 'k', facecolor = 'r', shrinkA = 0, shrinkB = 0))


The arrow is red, with black edges. How can I control the width of the black edges ?



enter image description here










share|improve this question


























    0















    The following code will produce a fancy arrow with matplotlib :



    import matplotlib.pyplot as plt

    xy = [0.2,0.2]
    xytext =[0.5,0.5]

    plt.figure()
    ax = plt.gca()
    ax.annotate("", xy=xy, xytext=xytext,arrowprops=dict(arrowstyle="<|-", edgecolor = 'k', facecolor = 'r', shrinkA = 0, shrinkB = 0))


    The arrow is red, with black edges. How can I control the width of the black edges ?



    enter image description here










    share|improve this question
























      0












      0








      0








      The following code will produce a fancy arrow with matplotlib :



      import matplotlib.pyplot as plt

      xy = [0.2,0.2]
      xytext =[0.5,0.5]

      plt.figure()
      ax = plt.gca()
      ax.annotate("", xy=xy, xytext=xytext,arrowprops=dict(arrowstyle="<|-", edgecolor = 'k', facecolor = 'r', shrinkA = 0, shrinkB = 0))


      The arrow is red, with black edges. How can I control the width of the black edges ?



      enter image description here










      share|improve this question














      The following code will produce a fancy arrow with matplotlib :



      import matplotlib.pyplot as plt

      xy = [0.2,0.2]
      xytext =[0.5,0.5]

      plt.figure()
      ax = plt.gca()
      ax.annotate("", xy=xy, xytext=xytext,arrowprops=dict(arrowstyle="<|-", edgecolor = 'k', facecolor = 'r', shrinkA = 0, shrinkB = 0))


      The arrow is red, with black edges. How can I control the width of the black edges ?



      enter image description here







      python matplotlib






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Mar 21 at 14:45









      LirisLiris

      12513




      12513






















          1 Answer
          1






          active

          oldest

          votes


















          0














          You can use the linewidth argument. Below is an example



          import matplotlib.pyplot as plt

          xy = [0.2,0.2]
          xytext =[0.5,0.5]

          plt.figure()
          ax = plt.gca()
          ax.annotate("Text", xy=xy, xytext=xytext, arrowprops=dict(arrowstyle="<|-,
          head_width=2, head_length=2", edgecolor = 'k', facecolor = 'r',
          linewidth=4))


          enter image description here






          share|improve this answer
























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            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            0














            You can use the linewidth argument. Below is an example



            import matplotlib.pyplot as plt

            xy = [0.2,0.2]
            xytext =[0.5,0.5]

            plt.figure()
            ax = plt.gca()
            ax.annotate("Text", xy=xy, xytext=xytext, arrowprops=dict(arrowstyle="<|-,
            head_width=2, head_length=2", edgecolor = 'k', facecolor = 'r',
            linewidth=4))


            enter image description here






            share|improve this answer





























              0














              You can use the linewidth argument. Below is an example



              import matplotlib.pyplot as plt

              xy = [0.2,0.2]
              xytext =[0.5,0.5]

              plt.figure()
              ax = plt.gca()
              ax.annotate("Text", xy=xy, xytext=xytext, arrowprops=dict(arrowstyle="<|-,
              head_width=2, head_length=2", edgecolor = 'k', facecolor = 'r',
              linewidth=4))


              enter image description here






              share|improve this answer



























                0












                0








                0







                You can use the linewidth argument. Below is an example



                import matplotlib.pyplot as plt

                xy = [0.2,0.2]
                xytext =[0.5,0.5]

                plt.figure()
                ax = plt.gca()
                ax.annotate("Text", xy=xy, xytext=xytext, arrowprops=dict(arrowstyle="<|-,
                head_width=2, head_length=2", edgecolor = 'k', facecolor = 'r',
                linewidth=4))


                enter image description here






                share|improve this answer















                You can use the linewidth argument. Below is an example



                import matplotlib.pyplot as plt

                xy = [0.2,0.2]
                xytext =[0.5,0.5]

                plt.figure()
                ax = plt.gca()
                ax.annotate("Text", xy=xy, xytext=xytext, arrowprops=dict(arrowstyle="<|-,
                head_width=2, head_length=2", edgecolor = 'k', facecolor = 'r',
                linewidth=4))


                enter image description here







                share|improve this answer














                share|improve this answer



                share|improve this answer








                edited Mar 21 at 14:54

























                answered Mar 21 at 14:49









                BazingaaBazingaa

                14.8k21230




                14.8k21230





























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