Vega-lite 到 Altair - 根据动态更新的轴对图表进行排序

如何解决Vega-lite 到 Altair - 根据动态更新的轴对图表进行排序

我正在尝试在 altair 中重新创建 pyLDAvis 图表。我的 a VL spec 中有很多转换，但在将其转换为 altair 时遇到问题。感谢 here 和 here 帮助我走到这一步。

我想我已经接近了，但出现以下错误：

altair.vegalite.v4.schema.channels.ColorValue,validating 'additionalProperties'
Additional properties are not allowed ('selection' was unexpected)

最后，我最关心的是我是否将所有 transforms 从 VL 正确翻译到 altair。

非常感谢任何帮助，因为我认为这将是对 NLP/主题建模社区的一个很好的贡献。

import altair as alt
import pandas as pd
import numpy as np

data={
 'Term': ['algorithm','learning','algorithm','learning'],'Freq_x': [1330,1353,304.42,296.69,157.59,140.35],'Total': [1330,1353.7,1330.47,1353.7],'Category': ['Default','Default','Topic1','Topic2','Topic2'],'logprob': [30.0,27.0,-5.116,-5.1418,-5.4112,-5.5271],'loglift': [30.0,0.0975,0.0891,-0.1803,-0.3135],'saliency_ind': [0,3,76,77,181,186],'x': [np.nan,np.nan,-0.0080,-0.0053,-0.0053],'y': [np.nan,-0.0056,0.0003,0.0003],'topics': [np.nan,1.0,2.0,2.0],'cluster': [np.nan,1.0],'Freq_y': [np.nan,20.39,14.18,14.18]}

df=pd.DataFrame(data)

pts = alt.selection(type="single",fields=['Category'],empty='none')

points=alt.Chart().mark_circle(tooltip=True).encode(
    x='mean(x)',y='mean(y)',size='Freq_y',tooltip=['topics','cluster'],detail='Category',color=alt.condition(pts,alt.value('#F28E2B'),alt.value('#4E79A7'))
).add_selection(pts)

trans=alt.Chart(
    ).transform_joinaggregate(
        max_fx='max(Freq_x)'
    ).transform_calculate(
        filterCategory="selector046['Category'] ? selector046['Category'] : []"
    ).transform_calculate(
      filtered_Freq_x="indexof(datum.filterCategory,datum['Category']) > -1 ? datum['Freq_x'] : null"
    ).transform_window(
        Sorted='rank()',sort=[{'field': "filtered_Freq_x:Q","order": "descending"}]
    )

b1=alt.Chart().mark_bar().encode(
    x='Freq_x',y=alt.Y('Term',sort=alt.sortField("Sorted")),tooltip=['Total'],)

b2=alt.Chart().mark_bar(color='#F28E2B').encode(
    x='filtered_Freq_x:Q',)

bars_1=trans+b1
bars_2=trans+b2

alt.hconcat(points,bars_1+bars_2,data=df).resolve_legend(
    color="independent",size="independent"
)