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1. #Matplotlib subplot rotate xticks how to#
2. #Matplotlib subplot rotate xticks movie#
3. #Matplotlib subplot rotate xticks code#

plt.setp(ax.get_xticklabels(), rotation=45, ha='right') We still use pyplot (as plt) here but it's object-oriented because we're changing the property of a specific ax object. Similar to above, but loop through manually instead. # otherwise get_xticklabels() will return empty strings.Īx.set_xticklabels(ax.get_xticklabels(), rotation=45, ha='right')Īs above, in later versions of Matplotlib (3.5+), you can just use set_xticks alone: ax.set_xticks(ax.get_xticks(), ax.get_xticklabels(), rotation=45, ha='right') If you want to get the list of labels from the current plot: # Unfortunately you need to draw your figure first to assign the labels, In later versions of Matplotlib (3.5+), you can just use set_xticks alone: ax.set_xticks(, labels, rotation=45, ha='right') If you have the list of labels: labels = Īx.set_xticklabels(labels, rotation=45, ha='right') Object-Oriented / Dealing directly with ax Option 3a Option 2Īnother fast way (it's intended for date objects but seems to work on any label doubt this is recommended though): fig.autofmt_xdate(rotation=45)

#Matplotlib subplot rotate xticks code#

Easiest / Least Code Option 1 plt.xticks(rotation=45, ha='right')Īs mentioned previously, that may not be desirable if you'd rather take the Object Oriented approach. The OP asked for 90 degree rotation but I'll change to 45 degrees because when you use an angle that isn't zero or 90, you should change the horizontal alignment as well otherwise your labels will be off-center and a bit misleading (and I'm guessing many people who come here want to rotate axes to something other than 90). I generally discourage mixing the functional and object-oriented approaches, but in this case I think it's worth it.Many "correct" answers here but I'll add one more since I think some details are left out of several. That's why, for now, I recommend using plt.xticks() for this rather than the object-oriented approach. That means they are a bit more complicated for our use case. However, it's a bit more work and there's more going on behind the scenes. Using set_xticks() and set_xticklabels() affords us greater flexibility, rather than just letting plt.xticks() use its default behaviour. set_xticks ( range ( len (polls ) ) )īut now we're back to the original state of duplication! It's necessary when using set_xticklabels() to also use set_xticks() to define what the x ticks are:Īxes.

Hence just using set_xticklabels() will often not to exactly what you want. When we do set_xticklabels() though, we're giving names to the ticks that exist in order, which means ticks end up with labels, and ticks end up without labels. That means that if you have 6 polls, you end up with ticks rather than. Therefore we must give a name to the tick at each index.Īnd by default, matplotlib creates one tick too many at each end of our provided values. We have 6 bars in our chart, starting at position 0, and ending at position 5 (given by our range(len(polls))). set_xticklabels ( for poll in polls ], rotation = 30 ) return figureīut if we do this, we're no longer telling the axes how many ticks there are, and so it reverts back to generating its own ticks. bar ( range ( len (polls ) ), for poll in polls ] )Īxes. set_title ( "Polls to their vote counts" )Īxes.

#Matplotlib subplot rotate xticks how to#

How to create a custom legend with matplotlibįigure = plt.How to export one image with multiple plots with matplotlib.How to draw a stacked bar chart with matplotlib.How to adjust the x axis tick labels so they fit in the screen.How to adjust the size of a matplotlib plot.How to draw a bar chart with matplotlib.How to draw a pie chart with matplotlib.How to add multiple subplots to a figure.

The Object-Oriented Approach with matplotlib.How to draw a line graph with matplotlib.

#Matplotlib subplot rotate xticks movie#