Options for horizontal and vertical 0 lines, grid, ticks

[imakn634]

"SymPy Plotting Backends"(SPB) is really the great enhancement of the SymPy plot().
It would be nicer if the following matplotlib.pyplot.plot() functions were also available in SPB.

1. horizontal and vertical 0 lines: The issue closed, but I prefer something like...

   plt.axhline(0, color='black', dashes=(5, 5), linewidth=0.6)
   plt.axvline(0, color='black', dashes=(5, 5), linewidth=0.6)

2. grid linestyle: something like...

   plt.grid(which="major", color="lightgray", ls="--", linewidth=0.5)

3. ticks setting, positions and labels: capability to customize something like...

   plt.xticks(
   ticks = np.linspace(-np.pi, np.pi, 5), 
   labels = ["-$\pi$", "-0.5$\pi$", "0", "0.5$\pi$", "$\pi$"]
   )
   plt.yticks(np.arange(-1., 1.1, 0.5))

[Davide-sd]

Hello @imakn634 ,

Everything you asked is already implemented in Matplotlib, there is no need to re-implement it on this module. In fact, this module is meant to be a starting point for plotting: once your symbolic expressions are plotted, you can extract the figure and axes object and apply all the customization you'd like, something like this:

from sympy import *
from spb import *
import matplotlib.ticker as tck
var("x")

p = plot(cos(x), (x, -0, 2*pi), show=False)
fig, ax = p.fig, p.ax
ax.minorticks_on()
ax.grid(True, which="minor", color="lightgray", ls="--", linewidth=0.25)
ax.axhline(-0.1, color='black', dashes=(5, 5), linewidth=1)
ax.axhline(0.1, color='black', dashes=(5, 5), linewidth=1)
ax.xaxis.set_major_formatter(tck.FormatStrFormatter('%g $\pi$'))

[imakn634]

This is very much helpful. Thank you!