text axis labels dropped unexpectedly

[jotwin]

When I make a plot with text labels on one axis, I expect to see every single label. If we're plotting categorical values we need to know every value. Lets plot is silently dropping them so that labels don't overlap. I've made plots that didn't make any sense because of this missed expectation. I don't think there's a case for dropping these labels, just like we would not want to silently drop categorical labels in a legend because they overlap.

import numpy as np
import polars as pl
from lets_plot import *
LetsPlot.setup_html()

df = pl.DataFrame({
    "x": np.random.randn(100),
    "y": [f"label_{i}" for i in range(100)],
})
(
    ggplot(df, aes(x='x',y='y'))
    + geom_point()
)

For reference seaborn doesn't drop labels and has them overlap.

import seaborn as sns
import matplotlib.pyplot as plt


sns.scatterplot(data=df, x="x", y="y")
plt.show()

[alshan]

Agree, categorical labels should not be dropped silently, and there should be an option to allow overlapping.
Removing labels indeed makes no sense beyond pure aesthetics - to avoid totally unreadable plots. Typically in cases where a dataset uses strings to represent dates: