When I set xlim with ax.set_xlim() my xtick labels are all shifted by one space to the left.
fig,axes=plt.subplots(2,1,sharey=True)
x=list(range(0,9))
y=list(range(1,10))
df=pd.DataFrame({'x':x,'y':y})
ax1=df.plot('x','y',ax=axes[0])
xticklabels=x
ax1.set_xticklabels(x)
after I add this line to the code
ax1.set_xlim(-0.2,8.2)
xticks are wrongly placed:
While you set the ticklabels to be the elements of a list, you do not specify the actual tick positions. So you leave it to the automatic AutoLocator to place the tick positions, but then set some custom labels to those ticks.
This will in general not give reasonable results.
As a rule of thumb: If you fix the labels, you need to fix the positions as well.
ax.set_xticks(x)
ax.set_xticklabels(x)
Related
I'm having some issues in setting the ticks in my plots using matplotlib. What I need is to set the ticks inwards, so inside the figure (but the labels must stay outside), and at the same time I need to have ticks on all four boundaries. Do you know a simple way to do this?
Thanks in advance!
Just because it can be useful for other people, I post here the simple solution I found after looking for some time in the documentation, as suggested by cfort:
ax.xaxis.set_ticks_position('both')
ax.xaxis.set_tick_params(direction='in', which='both', labelsize=16)
ax.yaxis.set_ticks_position('both')
ax.yaxis.set_tick_params(direction='in', which='both', labelsize=16)
ax.minorticks_on()
these lines of code set the tick inwards on both sides (e.g. for the x axis they are placed at top and bottom of the figure), set the label size and add the minorticks, which will point in the inward direction as well.
I'm making plots where the (0,0) position is not necessarily in the bottom left corner of the plot frame, meaning that the x and y axes and their ticks cross within the plot frame. It's fine to have the lines, ticks and their values within the frame, but having the axis titles so near to their lines interferes with visualization of certain data points.
I'd simply like to force the x and y axis titles to be at the bottom and far left of the plot frame, respectively; it doesn't work to simply 'pad' the xlabel or ylabel titles because the padding I'd need would vary between plots.
How to get the titles always in these consistent locations of the plot frame, even if the corresponding axis lines, ticks/values may vary in the plot frame space?
Thank you.
I'd like to add a note here. It seemed to me that it could be possible to define the xlabel and ylabel 'labelpad' values directly from the data range:
For example, one could find the minimum x-value of the minimum y-value (this would set the position of the x-axis label), and the minimum x-value of the minimum x-value (this would set the position of the y-axis label):
xpad = ax.get_ylim()[0]
ypad = ax.get_xlim()[0]
Then use these values in xlabel and ylabel parameters as labelpads:
pylab.xlabel("X Title", fontsize=12, labelpad=abs(xpad))
pylab.ylabel("Y Title", fontsize=12, labelpad=abs(ypad))
Unfortunately, it doesn't look like labelpad can accept variables. Any suggestions that might allow a work-around?
The cbar_kws argument of seaborn.heatmap accepts the parameters that fig.colobar accepts.
Is there a way to adjust the placement of the colorbar, simply to adjust the location to the left (especially when the correlation matrix is adjusted to have only a lower triangle).
I can adjust the labels by overriding the tick labels. As of now I still have to adjust the upper-right borders in post-processing, but it would make things much easier if I didn't have to edit the color bar as well.
heatmap accepts a cbar_ax argument; if you want to specify the position of the colorbar, the best thing to do is to set up the figure how you want it and then pass the specific axes.
You can also move axes around after plotting through normal matplotlib commands.
Is there a way to render the tick labels just right inside the axes, i.e, something like the direction property there is on the ticks themself?
Right now I'm setting the x property to a positive value on the ticklabels to draw them inside of the axis, i.e.,
ax2.set_yticklabels(['0', '2500', '5000', '7500'], minor=False, x=0.05)
But this doesn't really work on resizable plots, as the 0.05 figure is absolute (and too big on big plots).
Any ideas?
I'm assuming that ax2 is constructed as ax2 = ax.twinx(), which is to say that it is on the right side of the axes.
You could do something like the following:
ax2.set_yticklabels(['0', '2500', '5000', '7500'], minor=False, horizontalalignment='right')
for tick in ax2.yaxis.get_major_ticks():
tick.set_pad(-8)
If you want the left side axis on the inside too, then you'd simply switch the horizontal alignment to 'left' and change the pad from -8 to -25.
The two numbers might not be exact and could depend on other matplotlib settings you might have (e.g. length of major ticks) so you may want to increase or decrease those values slightly.
I want to make 21 subplots using the matplotlib. In some of the plots, fonts of axis are overlapping on the X-axis but X-axis labels are OK. For example, X-axis of one plot has value of (0,10,2) and adjoining plot has value of (0.001,0.010,0.002) so in subplots, 10 (on first X-axis) is overlap with 0.001 (X-axis of adjoining plot). If any one know about it then please reply me.
Many thanks
-Viral
A few things you can try:
Adjust subplots so that there is more wspace and hspace
Adjust xlim/ylim manually to make sure there's no overlap (tricky)
Use tight_layout (see this question)