y=x關(guān)于如何在使用 Altair時對雙軸圖表進行分面，然后向每個圖表添加一條線，有什么建議嗎？挑戰(zhàn)在于，該線y=x需要與每個多面圖表中顯示的數(shù)據(jù)特定的系列比例相匹配。鏈接：Altair github 關(guān)于 Facets 的問題線程Altair github 軸顯示上的問題線程下面是重現(xiàn)該問題的代碼。import altair as altfrom vega_datasets import datasource = data.anscombe().copy()source['line-label'] = 'x=y'source = pd.concat([source,source.groupby('Series').agg(x_diff=('X','diff'), y_diff=('Y','diff'))],axis=1)source['rate'] = source.y_diff/source.x_diffsource['rate-label'] = 'rate-of-change'base = alt.Chart().encode(    x='X:O',)scatter = base.mark_circle(size=60, opacity=0.30).encode(    y='Y:Q',    color=alt.Color('Series:O', scale=alt.Scale(scheme='category10')),    tooltip=['Series','X','Y'])line_x_equals_y = alt.Chart().mark_line(color= 'black', strokeDash=[3,8]).encode(    x=alt.X('max(X)',axis=None),    y=alt.Y('max(X)',axis=None), # note: it's intentional to set max(X) here so that X and Y are equal.    color = alt.Color('line-label') # note: the intent here is for the line label to show up in the legend    )rate = base.mark_line(strokeDash=[5,3]).encode(    y=alt.Y('rate:Q'),    color = alt.Color('rate-label',),    tooltip=['rate','X','Y'])scatter_rate = alt.layer(scatter, rate, data=source)嘗試過的解決方案問題：圖表不是雙軸（并且這不包括line_x_equals_y）scatter_rate.facet('Series',columns=2).resolve_axis(         x='independent',         y='independent',         )問題：Javascript 錯誤alt.layer(scatter_rate, line_x_equals_y, data=source).facet('Series',columns=2).resolve_axis(        x='independent',        y='independent',        )問題：Javascript 錯誤chart_generator =  (alt.layer(line_x_equals_y, scatter_rate, data = source, title=f"Series {val}").transform_filter(alt.datum.Series == val).resolve_scale(y='independent',x='independent') \             for val in source.Series.unique()) alt.concat(*(    chart_generator), columns=2)目標scatter_rate是一個多面（按系列）雙軸圖表，帶有適合值范圍的單獨刻度。y=x每個多面圖表都包含一條從 (0,0) 到y(tǒng)=max(X)各個圖表的值的線。