Note
Go to the end to download the full example code.
Basic Heatmap Chart#
Generate a heatmap chart across two categorical dimensions with a z_axis representing the value at each category pair.
The heatmap chart will be a table-like visualization where each table cell maps to a category pair and is colored based on a colorscale
The
datamust have one categorical column (category_column_name) that represents one dimension of categories and every other column of the data is a separate category on the other dimension to be compared against.The
z_axisis required to customize how values are displayed in the heatmapThe
colorscalecan be changed to format cells with a different set of colors.
import pandas as pd
from visualization_toolkit.helpers.plotly import heatmap_chart, axis, series
fig = heatmap_chart(
pdf,
category_column_name="fiscal_qy",
z_axis=axis(label="Downloads", axis_type="number"),
)
fig
Total running time of the script: (0 minutes 0.011 seconds)