[英]dynamic name in Altair alt.condition
I am following this example to create a bar chart with conditional color formatting on negative values:我正在按照此示例创建一个条形图,该条形图带有负值的条件颜色格式:
import altair as alt
from vega_datasets import data
source = data.us_employment()
alt.Chart(source).mark_bar().encode(
x="month:T",
y="nonfarm_change:Q",
color=alt.condition(
alt.datum.nonfarm_change > 0,
alt.value("steelblue"), # The positive color
alt.value("orange") # The negative color
)
).properties(width=600)
How can I replace alt.datum.nonfarm_change
with an expression accepting a dynamic variable name eg different columns of a dataframe?如何用接受动态变量名称的表达式替换
alt.datum.nonfarm_change
,例如数据帧的不同列?
Python provides a getattr
function that lets you get a dynamic attribute from any Python object, so you could use getattr(alt.datum, col_name)
to get a dynamic column name from the alt.datum
object. Python 提供了一个
getattr
函数,可让您从任何 Python 对象获取动态属性,因此您可以使用getattr(alt.datum, col_name)
从alt.datum
对象获取动态列名。
But it's probably easier to specify your filter condition as a string directly;但直接将过滤条件指定为字符串可能更容易; something like this (which makes use of f-strings ):
像这样(使用f-strings ):
import altair as alt
from vega_datasets import data
def plot_column(col_name: str) -> alt.Chart:
source = data.us_employment()
return alt.Chart(source).mark_bar().encode(
x="month:T",
y=f"{col_name}:Q",
color=alt.condition(
f"datum.{col_name} > 0",
alt.value("steelblue"), # The positive color
alt.value("orange") # The negative color
)
).properties(width=600)
plot_column("nonfarm_change")
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.