在 Altair 中为条形图设置标签格式

Format labels on bar charts in Altair

[![显示格式不正确的数字的图表][1]][1]

我需要格式化这些条上的标签,以便它们四舍五入到最接近的整数。我有以下代码:

def chart_tender_response_times(dataframe=None):

        chart = (
            alt.Chart(dataframe, title="Median time to respond to a tender")
                .mark_bar()
                .encode(
                alt.X("year(date):O"
                ),
                alt.Y("mean(median_duration):Q",
                     ## This is our units section, only describe the units of measurement here.
                     axis=alt.Axis(title="Unit: days.")
                ),
                alt.Tooltip(["mean(median_duration):Q"], format=",.2r", title="Days to respond to a tender")
            )
        )

        text = (
            chart.mark_text(align="center", baseline="bottom")
            .encode(text='mean(median_duration):Q')
        )

        return chart+text

我试过以下变体...

text = (
            chart.mark_text(align="center", baseline="bottom")
            .encode(text='mean(median_duration):Q', format='.,2r')
        )

但是这个 returns 以下架构验证错误:

SchemaValidationError: Invalid specification

altair.vegalite.v3.api.Chart, validating 'required'

'data' is a required property

我的直觉是,在将值添加到图表之前,我必须以某种方式调用值并设置其格式,但我无法从文档或示例中看到如何执行此操作。

您需要将格式包装在 alt.Text 中,如 encode(text=alt.Text('mean(median_duration):Q', format=',.2r'))

此外,我认为 format=',.0f' 更适合四舍五入到最接近的整数(例如,如果你有 256.4,它会四舍五入到 256,而 format=',.2r' 你会得到 260)

下面是一个示例,其中对函数进行了一些修改以适应另一个数据集(因为您没有提供):

import altair as alt
from vega_datasets import data

cars = data("cars")

def chart_tender_response_times(dataframe=None):
    chart = (
        alt.Chart(dataframe, title="Median time to respond to a tender")
        .mark_bar()
        .encode(
            alt.X("year(Year):O"),
            alt.Y(
                "mean(Displacement):Q",
                ## This is our units section, only describe the units of measurement here.
                axis=alt.Axis(title="Unit: days."),
            ),
            alt.Tooltip(
                ["mean(Displacement):Q"],
                format=",.0f",
                title="Days to respond to a tender",
            ),
        )
    )

    text = chart.mark_text(align="center", baseline="bottom").encode(
        text=alt.Text("mean(Displacement):Q", format=",.0f")
    )

    return chart + text

chart_tender_response_times(cars)