Scatter Plot with Shaded Area

This example shows a scatter plot with shaded area, constructed using area mark and rect mark.

Method syntax

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

data = pd.DataFrame({
    "x": np.random.uniform(-4, 5, size=50),
    "y": np.random.uniform(2, 5, size=50),
})

rect_data = pd.DataFrame({
    "x1": [-2],
    "x2": [-1]
})

# define this interval between y = -x and y = -x
df = pd.DataFrame({
    "x": range(7),
    "ymin": range(7),
    "ymax": range(1,8)
})

points = alt.Chart(data).mark_point().encode(
    x="x",
    y="y"
)

interval = alt.Chart(df).mark_area(opacity=0.3).encode(
    x="x:Q",
    y="ymin:Q",
    y2="ymax:Q"
)


rect = alt.Chart(rect_data).mark_rect(opacity=0.3).encode(
    x="x1",
    x2="x2",
    color=alt.ColorValue("#FF0000")
)

points + interval + rect

Attribute syntax

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

data = pd.DataFrame({
    "x": np.random.uniform(-4, 5, size=50),
    "y": np.random.uniform(2, 5, size=50),
})

rect_data = pd.DataFrame({
    "x1": [-2],
    "x2": [-1]
})

# define this interval between y = -x and y = -x
df = pd.DataFrame({
    "x": range(7),
    "ymin": range(7),
    "ymax": range(1,8)
})

points = alt.Chart(data).mark_point().encode(
    x="x",
    y="y"
)

interval = alt.Chart(df).mark_area(opacity=0.3).encode(
    x="x:Q",
    y="ymin:Q",
    y2="ymax:Q"
)


rect = alt.Chart(rect_data).mark_rect(opacity=0.3).encode(
    x="x1",
    x2="x2",
    color=alt.ColorValue("#FF0000")
)

points + interval + rect# No channel encoding options are specified in this chart
# so the code is the same as for the method-based syntax.