I created a function that creates a plot, basically the function looks like this:
def draw_line(array):
fig, ax = plt.subplots()
ax.plot(array)
I wanted to know if there is a way to call this function when wanting to do multiple plots in a figure. In particular, I wanted to do something like:
fig, axes = plt.subplots(nrows=2, ncols=3)
for i in list:
axes[i] = draw_line(*list[i])
However, what I get is an empty grid with the actual plots below.
You don't want to call a new plt.subplots() each time you call draw_line(). Instead, you want to use an existing axis object. In this case you want to pass in the axis for each subplot with its corresponding data. Then plot the two together.
from matplotlib import pyplot as plt
import numpy as np
def draw_line(ax,array):
# fig, ax = plt.subplots()
ax.plot(array)
# example data and figure
example_list = [[1,2,3],[4,5,6],[3,2,5],[3,2,5],[3,2,5],[3,2,5]]
fig, axes = plt.subplots(nrows=2, ncols=3)
# loop over elements in subplot and data, plot each one
for ax,i in zip(axes.flatten(),example_list):
draw_line(ax,i)
Output looks like this
Alternative to @user2241910,
from matplotlib import pyplot as plt
fig = plt.figure()
example_list = [[1,2,3],[4,5,6],[3,2,5],[5,2,3],[1,3,1],[5,3,5]]
for i,data in enumerate(example_list):
ax = plt.subplot(2,3,i+1)
ax.plot(data)
Produces:
