Limitation of ticks

Hello,

I have an issue of the ticks on the x-axis, which contains 365 (366) ticks. If I download the bar chart in SVG and open in Google Chrome - There is no issue with visualisation and there are only a few ticks. However, If I open it in Affinity Designer, the ticks on x-axis are one big mess… Is there some solution about how to limit the number of ticks on axis? Thank you!

My (minimal) dataset is:

# Packages
import datetime
import os, sys
import pandas as pd
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.ticker as plticker
import altair as alt
from vega_datasets import data

data = {'DAY' : ['2019-05-01', '2019-05-02', '2019-05-03', '2019-05-04', '2019-05-05'],
        'RAIN' : [0.9, 0.9, 0.9, 0.9, 0.9],
        'RR_MIDDLE' : [2.80, 2.80, 2.80, 2.80, 2.80],
        'CONDITION_RR' : ['wet', 'wet', 'wet', 'wet', 'wet'],
        'CONDITION_PR' : ['dry', 'dry', 'dry', 'dry', 'dry'],
        'SEASON' : ['Intermittent_Season', 'Dry_Season', 'Intermittent_Season', 'Wet_Season', 'Intermittent_Season'],
        'MONTH' : ['Apr 2019', 'Apr 2019', 'Apr 2019', 'Apr 2019', 'Apr 2019'],
        'SEASON_NUM' : [1.0, 1.0, 1.0, 1.0, 1.0],
        'YEAR' : [2019, 2019, 2019, 2019, 2019],
        'DOY' : [121, 122, 123, 124, 125],
       }
RSDF9 = pd.DataFrame(data)
RSDF9['DAY'] =  pd.to_datetime(RSDF9['DAY'], errors='ignore')
pd.to_numeric(RSDF9['DOY'])
pd.to_numeric(RSDF9['YEAR'])

alt.renderers.enable('notebook')
alt.data_transformers.disable_max_rows()

bar2 = alt.Chart(RSDF9).mark_bar().encode(
    alt.X('DOY:O', title='day', axis=alt.Axis(tickCount=2)),
    alt.Y('year(DAY):O', title='year'),
    color='SEASON:N',
    order=alt.Order("SEASON", sort="ascending")
)
(bar2).properties(width=600).configure_axisX(labelAlign="right", labelAngle=-45, labelPadding=8)

Thanks!

[jakevdp]

I’m closing, because it’s been a few months without response. Let me know if you have further questions.

[jakevdp]

OK - if you can create a reproducible example that reflects the problem you’re seeing, I"m happy to try and help.