尝试根据 altair / vega-lite 中的单独间隔选择端点运行附加的 transform_filter 操作答案

【问题标题】：Trying to run additive transform_filter operations depending on separate interval selection endpoints in altair / vega-lite尝试根据 altair / vega-lite 中的单独间隔选择端点运行附加的 transform_filter 操作
【发布时间】：2021-09-09 03:09:47
【问题描述】：

TL;DR:
在我看来，问题一定出在我试图从选择中获取端点的方式上：(isDefined(brush1.y) ? (brush1.y[0]) : 1)

我使用来自 n 个样本的两类（A 和 B）粒子的大小数据。我想将 A 与 B 的散点图作为任何可能大小子范围内的粒子百分比。

为了以交互方式选择这些大小子范围，我使用了两个辅助图（每个类别一个），我在其中添加了区间选择，以便设置和移动所需的范围。

从另一个问题here 我已经了解到聚合操作不能通过间隔选择来更新（这是一个vega-lite issue）。因此，我准备了我的数据框以包含任何可能的大小箱以及 A 和 B 的任何可能的大小箱组合的预先计算的百分比值。现在，我 “仅” 需要找到一种方法来过滤它将数据集扩展到辅助图中当前选择的内容。

数据框结构示例：

      sample      A     lower_A    upper_A       B      lower_B     upper_B

 0      S3      20.1         0       100       97.7         0         100
 1      S3      20.1         0       100        0.9       100         200
...    ...       ...       ...       ...        ...       ...         ...
673     S2       6.0       300       500        2.5       200         500
674     S2       6.0       300       500        0.9       300         500

代码使用transform_calculate 获取选择的端点（灵感来自here）和transform_filter 使用提取的值来过滤代表大小上限和下限的列上的数据集A 和 B 的百分比（灵感来自 here）。

为了防止在区间边界不在数据集中存在的值处（大小下限和上限在 0、100、200、300、400 和 500 处离散）时从过滤中选择空，计算的端点是固定的通过ceil() 或floor()，as it was suggested below 到下一个完整的一百。但是，绘制的点似乎对选择的间隔没有反应。在 vega-lite 编辑器的数据视图中，我可以看到过滤产生的行始终固定在 lower_0 和 upper_100，与选择的内容无关。

包含工作玩具数据框的示例：

import pandas as pd
import altair as alt


df = 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brush1 = alt.selection_interval(name="brush1", encodings=['y'])
brush2 = alt.selection_interval(name="brush2", encodings=['x'])


scatter = alt.Chart(df
).transform_calculate(
    b1l='floor((isDefined(brush1.y) ? (brush1.y[0]) : 1) / 100) * 100',
    b1u='ceil((isDefined(brush1.y) ? (brush1.y[1]) : 1) / 100) * 100',
    b2l='floor((isDefined(brush2.x) ? (brush2.x[0]) : 1) / 100) * 100',
    b2u='ceil((isDefined(brush2.x) ? (brush2.x[1]) : 1) / 100) * 100',
).mark_point().encode(
    x = 'B',
    y = 'A',
    tooltip = 'sample'
).transform_filter(
    '(datum.lower_A == datum.b1l) &&'
    '(datum.upper_A == datum.b1u) &&'
    '(datum.lower_B == datum.b2l) &&'
    '(datum.upper_B == datum.b2u)'
)
    

A = alt.Chart(df).mark_line().encode(
    x = 'mean(A)',
    y = alt.Y('lower_A', axis=alt.Axis(title='Select size range for A'))
).transform_filter(
    '(datum.lower_A == datum.lower_B) &&'
    '(datum.upper_A == datum.upper_B)'
).add_selection(
    brush1
).properties(
    height = 300,
    width = 100
)


B = alt.Chart(df).mark_line().encode(
    x = alt.X('lower_B', axis=alt.Axis(title='Select size range for B')),
    y = 'mean(B)'
).transform_filter(
    '(datum.lower_A == datum.lower_B) &&'
    '(datum.upper_A == datum.upper_B)'
).add_selection(
    brush2
).properties(
    height = 100,
    width = 400
)


A | scatter & B

如果我在这里做错了什么，有人可以发现吗？或者提示我是否应该以完全不同的方式解决它？

【问题讨论】：

标签： python altair vega-lite

【解决方案1】：

我认为问题在于您在离散值（lower_A、lower_B）和连续值（画笔范围）之间使用 == 相等性。在满足所有这些等式的精确笔刷范围上着陆是非常困难的。

您可以尝试使用不那么严格的过滤器，可能使用<= 或>=，或者在过滤器表达式中使用floor 或ceil 函数。

【讨论】：

是的，我也认为这可能是罪魁祸首（然后我尝试通过查看 vega-lite 编辑器中的信号查看器将间隔设置为我知道存在于 lower_ 和 upper_ 大小列中的确切数字） .现在我也尝试使用>= 和<= 而不是你建议的==，但它也没有在散点图中显示任何点。所以这还不是解决方案
更新：floor 和 ceil 出现 3 个点（每个样本一个，正如预期的那样），但是，它们对画笔没有反应。编辑器显示，它们始终对应于 lower_ 和 upper_ / a 和 b 值 0 和 100 的行。这就是我使用它的方式：).transform_calculate( b1l='floor((isDefined(brush1.y) ? (brush1.y[0]) : 1) / 100) * 100', b1u='ceil((isDefined(brush1.y) ? (brush1.y[1]) : 1) / 100) * 100', b2l='floor((isDefined(brush2.x) ? (brush2.x[0]) : 1) / 100) * 100', b2u='ceil((isDefined(brush2.x) ? (brush2.x[1]) : 1) / 100) * 100',