Hi
Hope this is the right place to post a request for enhancement.
I often create a bunch of relatively basic plots using matplotlib and
the commands to set the labels and limits take up more space than the
actual plotting commands (figure, plot, show), so I was wondering if
there is a shorter way of doing this (I couldn't find one) and if not,
if a shortcut notation could be added.
Here are some code lines I use at the moment:
3d plot:
ax.set_xlabel('Time [$\mu$s]')
ax.set_xlim3d(-0.2, 0.9)
ax.set_ylabel('Bias [V]')
ax.set_ylim3d(-100, 100)
ax.set_zlabel('Voltage[V]')
ax.set_zlim3d(-0.3, 0.4)
2d plot:
plt.xlabel('Time [$\mu$s]')
plt.ylabel('Voltage [V]')
plt.xlim(0, 100)
plt.ylim(0, 50)
proposed syntax:
# Z being optional
plt.labels(X='Time [$\mu$s]', Y='Bias [V]', Z='Voltage[V]')
plt.limits(X=[-0.2, 0.9], Y=[-100,100], Z=[-0.3, 0.4])
label could also have a **kwargs that would be handed on to all
[xyz]label, in case one needs to set fontsize for all labels.
label could also have an optional title=''.
limits could test for 2d or 3d plots and call the correct functions
automatically.
Arun
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