ticklabel fontsize settings is not reflected if specified inside context manager.

[toshiakiasakura]

Bug reproducing code.

def timeseries_heatmap(df : pd.DataFrame, time_col : str, c : str) -> None:

    df_ht = pd.crosstab(df[time_col], df[c])
    df_ht_per = pd.crosstab(df[time_col], df[c], normalize="index")*100
    # to impute non-existing years.
    for i in range(df_ht.index.min(), df_ht.index.max() + 1 ):
        if i not in df_ht.index:
            df_ht.loc[i] = 0
            df_ht_per.loc[i] =np.nan 
    df_ht = df_ht.sort_index()
    df_ht_per = df_ht_per.sort_index()

    tick_size=6
    with cplt.Multiple(grid=(1,2), figsize=(8,4)) as mul:
        with cplt.MulSingle(mul=mul, index=1,title="Count", 
                            xtickfontsize=tick_size, ytickfontsize=13,
                           ) as p:
            ht = sns.heatmap(df_ht, ax=p.ax, cmap="Reds", fmt=".0f",
                            annot=True, linewidths=.2, annot_kws={"fontsize":6})
            ht.set_xticklabels(ht.get_xmajorticklabels(), fontsize = tick_size)
            ht.set_yticklabels(ht.get_ymajorticklabels(), fontsize = tick_size)

        with cplt.MulSingle(mul=mul, index=2,title="Percentage", 
                            xtickfontsize=6, ytickfontsize=6
                           ) as p:
            ht = sns.heatmap(df_ht_per, ax=p.ax, cmap="Reds", fmt=".1f",
                            annot=True, linewidths=.2, annot_kws={"fontsize":6})
df = sm.datasets.get_rdataset("Melanoma", "MASS").data
# Change elements name for good visualization.
df["sex"] = df["sex"].replace({0:"female", 1:"male"})
time_col = "year"
c = "sex"
timeseries_heatmap(df, time_col, c)

[toshiakiasakura]

Use keyword arguments for mul.SIngle parameters. It's difficult for me to accomondate tickfontsize adjustment inside contextmanagers. Good rule of thumb for this package is to use keyword arguments for Single/Multiple class to adjust figure parameters.