I am trying to plot two separate quantities on the same graph using twiny as follows:
fig = figure()
ax = fig.add_subplot(111)
ax.plot(T, r, \'b-\', T, R, \'
Just use plt.tight_layout()
before plt.show()
. It works well.
Forget using plt.title
and place the text directly with plt.text
. An over-exaggerated example is given below:
import pylab as plt
fig = plt.figure(figsize=(5,10))
figure_title = "Normal title"
ax1 = plt.subplot(1,2,1)
plt.title(figure_title, fontsize = 20)
plt.plot([1,2,3],[1,4,9])
figure_title = "Raised title"
ax2 = plt.subplot(1,2,2)
plt.text(0.5, 1.08, figure_title,
horizontalalignment='center',
fontsize=20,
transform = ax2.transAxes)
plt.plot([1,2,3],[1,4,9])
plt.show()
I'm not sure whether it is a new feature in later versions of matplotlib, but at least for 1.3.1, this is simply:
plt.title(figure_title, y=1.08)
This also works for plt.suptitle()
, but not (yet) for plt.xlabel()
, etc.
I was having an issue with the x-label overlapping a subplot title; this worked for me:
import matplotlib.pyplot as plt
fig, ax = plt.subplots(2, 1)
ax[0].scatter(...)
ax[1].scatter(...)
plt.tight_layout()
.
.
.
plt.show()
reference:
You can use pad for this case:
ax.set_title("whatever", pad=20)
ax.set_title('My Title\n', fontsize="15", color="red")
plt.imshow(myfile, origin="upper")
If you put '\n'
right after your title string, the plot is drawn just below the title. That might be a fast solution too.