How to decrease the density of x-ticks in seaborn

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Tick frequency

There seem to be multiple issues here:

    1. You are using the = operator while using plt.xticks. You should use a function call instead (but not here; read point 2 first)!
    1. seaborn’s countplot returns an axes-object, not a figure
      • you need to use the axes-level approach of changing x-ticks (which is not plt.xticks())

Try this:

for ind, label in enumerate(plot_.get_xticklabels()):
    if ind % 10 == 0:  # every 10th label is kept
        label.set_visible(True)
    else:
        label.set_visible(False)

Colors

I think the data-setup is not optimal here for this type of plot. Seaborn will interpret each unique value as new category and introduce a new color. If i’m right, the number of colors / and x-ticks equals the number of np.unique(data).

Compare your data to seaborn’s examples (which are all based on data which can be imported to check).

I also think working with seaborn is much easier using pandas dataframes (and not numpy arrays; i often prepare my data in a wrong way and subset-selection needs preprocessing; dataframes offer more). I think most of seaborn’s examples use this data-input.

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