I am plotting with seaborn a series of boxplots with
sns.boxplot(full_array)
where full_array
contains 200 arrays. Therefore, I have 200 boxplots and ticks on the x-axis from 0 to 200.
The xticks are too close to each other and I would like to show only some of them, for instance, a labeled xtick every 20, or so.
I tried several solutions as those mentioned here but they did not work.
Every time I sample the xticks, I get wrong labels for the ticks, as they get numbered from 0 to N, with unit spacing.
For instance, with the line ax.xaxis.set_major_locator(ticker.MultipleLocator(20))
I get a labelled xtick every 20 but the labels are 1, 2, 3, 4 instead of 20, 40, 60, 80...
Thanks to anyone who's so kind to help.
set_yticks() functions in axes module of matplotlib library are used to Set the ticks with a list of ticks on X-axis and Y-axis respectively. Parameters: ticks: This parameter is the list of x-axis/y-axis tick locations. minor: This parameter is used whether set major ticks or to set minor ticks.
To create a list of ticks, we will use numpy. arange(start, stop, step) with start as the starting value for the ticks, stop as the non-inclusive ending value and step as the integer space between ticks. Below example illustrate the matplotlib. pyplot.
Use tick_params() for changing the appearance of ticks and tick labels. Use left=false and bottom=false to remove the tick marks.
The seaborn boxplot uses a FixedLocator and a FixedFormatter, i.e.
print ax.xaxis.get_major_locator() print ax.xaxis.get_major_formatter()
prints
<matplotlib.ticker.FixedLocator object at 0x000000001FE0D668> <matplotlib.ticker.FixedFormatter object at 0x000000001FD67B00>
It's therefore not sufficient to set the locator to a MultipleLocator
since the ticks' values would still be set by the fixed formatter.
Instead you would want to set a ScalarFormatter
, which sets the ticklabels to correspond to the numbers at their position.
import matplotlib.pyplot as plt import matplotlib.ticker as ticker import seaborn.apionly as sns import numpy as np ax = sns.boxplot(data = np.random.rand(20,30)) ax.xaxis.set_major_locator(ticker.MultipleLocator(5)) ax.xaxis.set_major_formatter(ticker.ScalarFormatter()) plt.show()
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