How do I make it so that it shows all x ticks from 0 to 9?
bin diff
1 4 -0.032748
3 9 0.106409
13 7 0.057214
17 3 0.157840
19 0 -0.086567
... ... ...
1941 0 0.014386
1945 4 0.049601
1947 9 0.059406
1957 1 0.045282
1959 6 -0.033853
(
so.Plot(x='bin', y='diff', data=diff_df)
.theme({**axes_style("whitegrid"), "grid.linestyle": ":"})
.add(so.Dots())
.add(so.Range(color='orange'), so.Est())
.add(so.Dot(color='orange'), so.Agg())
.add(so.Line(color='orange'), so.Agg())
.label(
x="Image Similarity Bin", y="Difference",
color=str.capitalize,
)
)
I tried to set xticks
in .label, but it doesn't do anything.
seaborn.objects.Continuous.tick
inside seaborn.objects.Plot.scale
.scale(x=so.Continuous().tick(every=1))
import pandas as pd
import numpy as np
import seaborn.objects as so
# sample data
np.random.seed(365)
rows = 1100
data = {'diff': np.random.random(size=rows), 'bin': np.random.choice(range(10), size=rows)}
df = pd.DataFrame(data)
# plot
(so.Plot(x='bin', y='diff', data=df)
.add(so.Dots())
.add(so.Range(color='orange'), so.Est())
.add(so.Dot(color='orange'), so.Agg())
.add(so.Line(color='orange'), so.Agg())
.label(x="Image Similarity Bin", y="Difference", color=str.capitalize)
.scale(x=so.Continuous().tick(every=1))) # adjust the ticks here