pythonplotsympymarkers

How do I use the markers parameter of a sympy plot?

The sympy plot command has a markers parameter:

markers : A list of dictionaries specifying the type the markers required. The keys in the dictionary should be equivalent to the arguments of the matplotlib's plot() function along with the marker related keyworded arguments.

How do I use the markers parameter? My failed attempts range from

from sympy import *
x = symbols ('x')
plot (sin (x), markers = 'o')

to

plot (sin (x), markers = list (dict (marker = 'o')))
Solution

  • Nice find!

    The documentation doesn't make things clear. Diving into the source code, leads to these lines in plot.py:

                for marker in parent.markers:
                # make a copy of the marker dictionary
                # so that it doesn't get altered
                m = marker.copy()
                args = m.pop('args')
                ax.plot(*args, **m)

    So, sympy just calls matplotlib's plot with:

    As matplotlib's plot allows a huge variety of parameters, they all are supported here. They are primarily meant to show extra markers onto the plot (you need to give their positions).

    An example:

    from sympy import symbols, sin, plot

x = symbols('x')
plot(sin(x), markers=[{'args': [2, 0, 'go']},
                      {'args': [[1, 3], [1, 1], 'r*'], 'ms': 20},
                      {'args': [[2, 4, 6], [-1, 0, -1], ], 'color': 'turquoise', 'ls': '--', 'lw': 3}])

    These get converted to:

    ax.plot(2, 0, 'go')  # draw a green dot at position 2,0
ax.plot([3, 5], [1, 1], 'r*', ms=20)  # draw red stars of size 20 at positions 3,1 and 5,1
ax.plot([2, 4, 6], [-1, 0, -1], ], color='turquoise', ls='--', lw=3)
    # draw a dotted line from 2,-1  over 4,0 to 6,-1

    using markers in sympy's plot

    PS: The source code shows a similar approach for dictionaries with annotations, rectangles and fills (using plt.fillbetween()):

            if parent.annotations:
            for a in parent.annotations:
                ax.annotate(**a)
        if parent.rectangles:
            for r in parent.rectangles:
                rect = self.matplotlib.patches.Rectangle(**r)
                ax.add_patch(rect)
        if parent.fill:
            ax.fill_between(**parent.fill)