我将如何像 Altair 这样并排创建条形图？

如何解决我将如何像 Altair 这样并排创建条形图？

Image of What I want to create

我得到了图表的左侧（前三分之一），并尝试创建一个 'bars2' 和 'text2' 字段，但没有成功，并将其添加到原始的 ranked_movies 字段中，但这很混乱。有没有办法移动和压缩并添加一整套其他条形图？

tuples = list(zip([names[ep] for ep in episodes],topthird,middlethird))
binranking_per_df = pd.DataFrame(tuples,columns = ['Name','Top Third','Middle Third'])
#ranking_per_df


bars = alt.Chart(binranking_per_df).mark_bar(size=20).encode(
    x=alt.X(
        'Top Third',axis=None),y=alt.Y(
        'Name:N',axis=alt.Axis(tickCount=5,title=''),sort=names_l
    )
)

bars2 = alt.Chart(binranking_per_df).mark_bar(size=20).encode(
    x=alt.X(
        'Middle Third',sort=names_l
    )
)

text = bars.mark_text(
    align='left',baseline='middle',dx=3  
).encode(
    text=alt.Text('Top Third:Q',format='.0%')
)

text2 = bars.mark_text(
    align='left',dx=3  
).encode(
    text=alt.Text('Middle Third:Q',format='.0%')
)

ranked_movies = (text + bars).configure_mark(
    color='#008fd5'
).configure_view(
    strokeWidth=0
).configure_scale(
    bandPaddingInner=0.2
).properties(
    width=500,height=180
).properties(
    title="Whats the Best 'Star Wars' Movie?"
)

解决方法

此问题（关于相同图表）先前已回答 here，但不幸的是该问题已被用户删除。

这是我的回答：

---

Altair 画廊提供了几个分面条形图示例（例如 this one）对于您想到的图表，您可以通过 faceting 一个 Layer Chart 继续，其中包含一个条形图和一个文本层。例如：

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

titles = ['The Phantom Menace','Attack of the Clones','Revenge of the Sith','A New Hope','The Empire Strikes Back','Return of the Jedi']
categories = ['Top third','Middle third','Bottom third']
percentages = [
    [0.16,0.14,0.13,0.50,0.64,0.43],[0.37,0.29,0.40,0.31,0.22,0.41],[0.46,0.57,0.47,0.19,0.17]
]
titles,categories,percentages = map(
    np.ravel,np.broadcast_arrays(
        titles,np.array(categories)[:,None],percentages))
df = pd.DataFrame({
    'titles': titles,'categories': categories,'percentages': percentages,})

base = alt.Chart(df).encode(
    x=alt.X('percentages:Q',axis=None),y=alt.Y('titles:N',title=None,sort=titles),).properties(
    width=70
)

bars = base.mark_bar().encode(
    color=alt.Color('categories:N',legend=None)
)
text = base.mark_text(dx=15).encode(
    text=alt.Text('percentages:Q',format=".0%")
)

(bars + text).facet(
    column=alt.Column('categories:N',sort=categories)
).configure_view(
    stroke='transparent'
)