Matplotlib: keep grid lines behind the graph but the y and x axis above
I have tried matplotlib 1.2.1, 1.3.1rc2 and master (commit 06d014469fc5c79504a1b40e7d45bc33acc00773)
To get the axis spines on top of the the bars you can do the following:
for k, spine in ax.spines.items(): #ax.spines is a dictionary
spine.set_zorder(10)
EDIT
It seems that I can't make the tick lines to go on top of the bars. I've tried
1. ax.tick_params(direction='in', length=10, color='k', zorder=10)
#This increases the size of the lines to 10 points,
#but the lines stays hidden behind the bars
2. for l in ax.yaxis.get_ticklines():
l.set_zorder(10)
and some other way with no results. It seems that when drawing the bars they are put on top and the zorder is ignored
A workaround could be to draw the tick lines outwards
ax.tick_params(direction='out', length=4, color='k', zorder=10)
or both in and outwards, using direction='inout'
EDIT2
I've done some test after @tcaswell comments.
If zorder
in the ax.bar
function is set to be <=2, the axis, ticklines and grid lines are drawn above the bars. If the valus is >2.01 (the default value for axis) the bars are drawn on top of the axis, ticklines and grid. Then it possible to set larger values to the spines (as above) but any attempt to change the zorder
of the ticklines is simply ignored (although the values are updated on the corresponding artists).
I've tried the to use zorder=1
for the bar
and zorder=0
for the grid and the grid is drawn on top of the bars. So zorder is ignored.
recap
It seems to me that ticklines and grid zorder
are just ignored and kept to the default values. For me this is a bug somehow related with bar
or some patches
.
BTW, I do remember changing successfully the zorder in ticklines when using imshow
I had the same problem of axes getting drawn below the plot line when I have grid lines in the background:
ax.yaxis.grid() # grid lines
ax.set_axisbelow(True) # grid lines are behind the rest
The solution that worked for me was to set the zorder
argument of the plot()
function to a value between 1 and 2. It is not immediately clear, but the zorder value can be any number. From the documentation for the matplotlib.artist.Artist
class:
set_zorder(level)
Set the zorder for the artist. Artists with lower zorder values are drawn first.
ACCEPTS: any number
Therefore:
for i in range(5):
ax.plot(range(10), np.random.randint(10, size=10), zorder=i / 100.0 + 1)
I haven't checked for values outside this range, maybe they would also work.