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"""
Multi-Line Tooltip
==================
This example shows how you can use selections and layers to create a
tooltip-like behavior tied to the x position of the cursor.
If you are looking for more standard tooltips, it is recommended to use the
tooltip encoding channel as shown in the
`Scatter Plot With Tooltips <https://altair-viz.github.io/gallery/scatter_tooltips.html>`_
example.
The following example employs a little trick to isolate the x-position of the
cursor: we add some transparent points with only an x encoding (no y encoding)
and tie a *nearest* selection to these, tied to the "x" field.
"""
# category: interactive charts
import altair as alt
import pandas as pd
import numpy as np
np.random.seed(42)
source = pd.DataFrame(np.cumsum(np.random.randn(100, 3), 0).round(2),
columns=['A', 'B', 'C'], index=pd.RangeIndex(100, name='x'))
source = source.reset_index().melt('x', var_name='category', value_name='y')
# Create a selection that chooses the nearest point & selects based on x-value
nearest = alt.selection(type='single', nearest=True, on='mouseover',
fields=['x'], empty='none')
# The basic line
line = alt.Chart(source).mark_line(interpolate='basis').encode(
x='x:Q',
y='y:Q',
color='category:N'
)
# Transparent selectors across the chart. This is what tells us
# the x-value of the cursor
selectors = alt.Chart(source).mark_point().encode(
x='x:Q',
opacity=alt.value(0),
).add_selection(
nearest
)
# Draw points on the line, and highlight based on selection
points = line.mark_point().encode(
opacity=alt.condition(nearest, alt.value(1), alt.value(0))
)
# Draw text labels near the points, and highlight based on selection
text = line.mark_text(align='left', dx=5, dy=-5).encode(
text=alt.condition(nearest, 'y:Q', alt.value(' '))
)
# Draw a rule at the location of the selection
rules = alt.Chart(source).mark_rule(color='gray').encode(
x='x:Q',
).transform_filter(
nearest
)
# Put the five layers into a chart and bind the data
alt.layer(
line, selectors, points, rules, text
).properties(
width=600, height=300
)
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