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vector field plot with 2 matrices quiver


Concatenating two std::vectorsHow to find out if an item is present in a std::vector?Why is Java Vector (and Stack) class considered obsolete or deprecated?What is the easiest way to initialize a std::vector with hardcoded elements?Appending a vector to a vectorPlot two graphs in same plot in RHow to put the legend out of the plotSave plot to image file instead of displaying it using MatplotlibAlgorithm to slide vector across a vectorFinding rotation between vectors in Matlab, from matrices of x and y components






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0















I have 2 nxn matrices, 1 containing the x-component of the vector field and the other the y-component. Additionally I have 2 lists of each length n with the x, and y position respectively.
now I would like to create a grid with my x-y values from the lists as scale and the vector field consisting of the 2 matrices (the arrows should consist of the x,y position of each matrix) but it doesnt work. Im quite desperate already and hope Ill find help! thanks a lot!



plt.quiver(x,y,matrix1,matrix2)
plt.show()



, where x and y are lists of n and matrix 1 and matrix 2 are matrices of nxn










share|improve this question




























    0















    I have 2 nxn matrices, 1 containing the x-component of the vector field and the other the y-component. Additionally I have 2 lists of each length n with the x, and y position respectively.
    now I would like to create a grid with my x-y values from the lists as scale and the vector field consisting of the 2 matrices (the arrows should consist of the x,y position of each matrix) but it doesnt work. Im quite desperate already and hope Ill find help! thanks a lot!



    plt.quiver(x,y,matrix1,matrix2)
    plt.show()



    , where x and y are lists of n and matrix 1 and matrix 2 are matrices of nxn










    share|improve this question
























      0












      0








      0








      I have 2 nxn matrices, 1 containing the x-component of the vector field and the other the y-component. Additionally I have 2 lists of each length n with the x, and y position respectively.
      now I would like to create a grid with my x-y values from the lists as scale and the vector field consisting of the 2 matrices (the arrows should consist of the x,y position of each matrix) but it doesnt work. Im quite desperate already and hope Ill find help! thanks a lot!



      plt.quiver(x,y,matrix1,matrix2)
      plt.show()



      , where x and y are lists of n and matrix 1 and matrix 2 are matrices of nxn










      share|improve this question














      I have 2 nxn matrices, 1 containing the x-component of the vector field and the other the y-component. Additionally I have 2 lists of each length n with the x, and y position respectively.
      now I would like to create a grid with my x-y values from the lists as scale and the vector field consisting of the 2 matrices (the arrows should consist of the x,y position of each matrix) but it doesnt work. Im quite desperate already and hope Ill find help! thanks a lot!



      plt.quiver(x,y,matrix1,matrix2)
      plt.show()



      , where x and y are lists of n and matrix 1 and matrix 2 are matrices of nxn







      python vector plot 2d






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Mar 23 at 18:29









      Richard EisensteinRichard Eisenstein

      11




      11






















          1 Answer
          1






          active

          oldest

          votes


















          0














          This code correctly generates a quiver plot with data of the dimensions specified.



          import numpy as np
          import matplotlib.pyplot as plt

          # Generate data
          n = 10
          x = np.random.rand(n)
          y = np.random.rand(n)
          matrix1 = np.random.rand(n, n) - 0.5
          matrix2 = np.random.rand(n, n) - 0.5

          # Create quiver plot
          plt.figure()
          plt.quiver(x, y, matrix1, matrix2)
          plt.show()


          Quiver plot






          share|improve this answer























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            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            0














            This code correctly generates a quiver plot with data of the dimensions specified.



            import numpy as np
            import matplotlib.pyplot as plt

            # Generate data
            n = 10
            x = np.random.rand(n)
            y = np.random.rand(n)
            matrix1 = np.random.rand(n, n) - 0.5
            matrix2 = np.random.rand(n, n) - 0.5

            # Create quiver plot
            plt.figure()
            plt.quiver(x, y, matrix1, matrix2)
            plt.show()


            Quiver plot






            share|improve this answer



























              0














              This code correctly generates a quiver plot with data of the dimensions specified.



              import numpy as np
              import matplotlib.pyplot as plt

              # Generate data
              n = 10
              x = np.random.rand(n)
              y = np.random.rand(n)
              matrix1 = np.random.rand(n, n) - 0.5
              matrix2 = np.random.rand(n, n) - 0.5

              # Create quiver plot
              plt.figure()
              plt.quiver(x, y, matrix1, matrix2)
              plt.show()


              Quiver plot






              share|improve this answer

























                0












                0








                0







                This code correctly generates a quiver plot with data of the dimensions specified.



                import numpy as np
                import matplotlib.pyplot as plt

                # Generate data
                n = 10
                x = np.random.rand(n)
                y = np.random.rand(n)
                matrix1 = np.random.rand(n, n) - 0.5
                matrix2 = np.random.rand(n, n) - 0.5

                # Create quiver plot
                plt.figure()
                plt.quiver(x, y, matrix1, matrix2)
                plt.show()


                Quiver plot






                share|improve this answer













                This code correctly generates a quiver plot with data of the dimensions specified.



                import numpy as np
                import matplotlib.pyplot as plt

                # Generate data
                n = 10
                x = np.random.rand(n)
                y = np.random.rand(n)
                matrix1 = np.random.rand(n, n) - 0.5
                matrix2 = np.random.rand(n, n) - 0.5

                # Create quiver plot
                plt.figure()
                plt.quiver(x, y, matrix1, matrix2)
                plt.show()


                Quiver plot







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Mar 23 at 18:42









                NathanielNathaniel

                2,210314




                2,210314





























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