plot a large number of axis objects using one command through a loop

Question

Say I have a bunch of ax1,ax2,ax3... and I want to run them through a plotting function:

def plotxy(ax,x,y):
    x = np.array(x)
    y = np.array(y)
    ax.plot(         


        

Answer 1

you can try something like this:

import matplotlib.pyplot as plt
fig, axs = plt.subplots(nrows=3, ncols=2)

for ax in axs.flat:
    plotxy(ax,x,y)

If you use plt.subplot or plt.axes you can create a list/array of axes by hand

Answer 2

I'm probably missing something in your question, but why don't you just use a simple loop?

for ax in ( ax1, ax2, ..., axn ):
    plotxy(ax,x,y)

You can also avoid the explicit listing all variables:

axes = ( locals()['ax%d'%i] for i in range(1, n+1) )
for ax in axes:
    plotxy(ax,x,y)

Answer 3

you can also use map, x and y being name space variables and axx some iterable over your axes objects:

x = ...
y = ...

def plotxy(ax):
    ax.plot(x,y)

map(plotxy,axx)