Dataframe styler render in frontend is incorrect if table is wide

[PaleNeutron]

Summary

Dataframe style render in frontend is incorrect if table is wide

Steps to reproduce

Code snippet:

import streamlit as st

import pandas as pd
from numpy import nan

data = [[ 1.49590318e-02,  4.13307241e-02,  2.96606754e-02,
         5.60946544e-02,  5.92372194e-02,  4.36623694e-02,
        -1.02449474e-02,  2.07244035e-02,  3.72137405e-03,
         4.83144943e-02, -3.00000000e-04,             nan,
                    nan,             nan,             nan,
                    nan,             nan,             nan,
                    nan,             nan,             nan,
                    nan,             nan,             nan,
                    nan,             nan,             nan,
                    nan,             nan,             nan,
                    nan,             nan,             nan,
                    nan],
       [ 2.06085754e-02,  4.44958105e-02,  9.52843947e-03,
         5.60632508e-02,  5.20118823e-02,  4.36865840e-02,
        -7.88546502e-03,  2.01974097e-02, -1.42433911e-03,
         4.48240967e-02,  7.43796367e-02, -5.91264543e-03,
         3.08014942e-02, -6.18731275e-03,  1.22626582e-02,
        -1.24357054e-02, -4.02424545e-02,  1.17594993e-02,
         9.21834001e-02,  2.78211498e-02,  4.66498291e-02,
         2.24044961e-02,  1.93852570e-01,  6.05827483e-02,
         1.88106202e-02,  5.21961788e-03,  4.45427425e-02,
        -7.45354299e-03,  1.03156592e-02, -2.77749203e-03,
         4.44306675e-03,  2.22044605e-16, -1.91547583e-02,
        -1.28064032e-02],
       [ 1.57512116e-02,  4.28922429e-02,  3.02307080e-02,
         5.58185706e-02,  6.33322507e-02,  4.53233746e-02,
        -8.74978967e-03,  2.51854407e-02,  6.59836777e-03,
         4.54751747e-02,  7.85119922e-02, -8.05981744e-03,
         3.00060012e-02, -6.55802862e-03,  1.52325229e-02,
        -8.30332133e-03, -4.00000000e-04,             nan,
                    nan,             nan,             nan,
                    nan,             nan,             nan,
                    nan,             nan,             nan,
                    nan,             nan,             nan,
                    nan,             nan,             nan,
                    nan],
       [ 1.53678771e-02,  4.34967714e-02,  3.02653703e-02,
         5.66198053e-02,  6.35885639e-02,  4.50759852e-02,
        -8.68158992e-03,  2.38779956e-02,  8.17079599e-03,
         4.64282431e-02,  7.60783538e-02, -9.60219479e-03,
         2.45959241e-02, -3.90000000e-03,             nan,
                    nan,             nan,             nan,
                    nan,             nan,             nan,
                    nan,             nan,             nan,
                    nan,             nan,             nan,
                    nan,             nan,             nan,
                    nan,             nan,             nan,
                    nan],
       [ 1.52104107e-02,  4.09922590e-02,  2.46056782e-02,
         6.37583893e-02,  4.32086417e-02,  0.00000000e+00,
                    nan,             nan,             nan,
                    nan,             nan,             nan,
                    nan,             nan,             nan,
                    nan,             nan,             nan,
                    nan,             nan,             nan,
                    nan,             nan,             nan,
                    nan,             nan,             nan,
                    nan,             nan,             nan,
                    nan,             nan,             nan,
                    nan]]


df = pd.DataFrame(data)
s = df.style.highlight_null()

st.dataframe(s)

st.table(s)

We could easily find that cells between column 1 to 3 are colored with red in st.dataframe but is correct in st.table

[LukasMasuch]

@PaleNeutron Thanks for reporting this problem. Closing this since the issue is fixed with the upcoming release (see related issue and PR). If the problem still appears with the next release, feel free to open the issue again.