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dynamic name in Altair alt.condition

I am following this example to create a bar chart with conditional color formatting on negative values:

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 e.g. different columns of a dataframe?

like image 561
AleAve81 Avatar asked Dec 20 '19 15:12

AleAve81


1 Answers

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.

But it's probably easier to specify your filter condition as a string directly; something like this (which makes use of 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")

enter image description here

like image 113
jakevdp Avatar answered Nov 04 '22 12:11

jakevdp