Change color schema

You can modify the colors in the Reports and Tests.

Code example

You can refer to an example How-to-notebook showing how to customize the color schema in your reports and test suites:

https://github.com/evidentlyai/evidently/blob/main/examples/how_to_questions/how_to_customize_color_schema.ipynbgithub.com

Options for Color Scheme

By default, Evidently widgets use the red-grey color scheme. However, you can either define individual colors or take advantage of preconfigured color schemes.

Change individual colors

To change the colors in the widgets, you can create an object ColorOptions from the evidently.options.color_scheme, replace the values you need, and use it in the options list when you create a report or test suite.

from evidently.options import ColorOptions

color_scheme = ColorOptions(
    color_scheme.primary_color = "#5a86ad"
    color_scheme.fill_color = "#fff4f2"
    color_scheme.zero_line_color = "#016795"
    color_scheme.current_data_color = "#c292a1" 
    color_scheme.reference_data_color = "#017b92"
)

To define values for the colors, you can use CSS and Plotly compatible strings. For example:

• color names: "blue", "orange", "green"

• RGB values: #fff4f2, #ee00aa and so on.

Here is the list of all color scheme options with the type and meaning of each:

A Variable in the ColorOptions object	Option type	Option description
primary_color	string	A basic color for data visualization. Used by default for all bars and lines in widgets with one dataset. Used as the default for the current data in widgets with two datasets.
secondary_color	string	A basic color to visualize the second dataset in the widgets with two datasets. For example, the reference data.
current_data_color	string	A color for the current data. By default, the primary color is used.
reference_data_color	string	A color for the reference data. By default, the secondary color is used.
color_sequence	array of strings	A set of colors to draw a number of lines in one graph. For example, in the Data Quality dashboard.
fill_color	string	A fill color for areas in line graphs.
zero_line_color	string	A color for the base, zero line in line graphs.
non_visible_color	string	A color for technical, not visible dots or points for better scalability.
underestimation_color	string	A color for the "underestimation" line in the Regression Performance dashboard.
overestimation_color	string	A color for the "overestimation" line in the Regression Performance dashboard.
majority_color	string	A color for the majority line in the Regression Performance dashboard.
vertical_lines	string	A color for vertical lines.
heatmap	string	Colors for heatmaps.
---

Use existing color schemes

Evidently also provides some sensible alternative default schemas that have been pre-selected for your convenience:

• 'Solarised'

• 'Karachi Sunrise'

• 'Berlin Autumn'

• 'Nightowl'

To use them, simply import them directly and pass them into your Report or TestSuite options as follows (taking the Berlin Autumn scheme as an example):

from evidently.options import BERLIN_AUTUMN_COLOR_OPTIONS

Customize color in Reports

For example, here is how the Data Drift Report looks without customizing the color:

Data Drift

Either pass the above defined color_scheme to options of your Report:

from evidently.report import Report
from evidently.metric_preset.data_drift import DataDriftPreset

# import the data as usual...
data_drift_report = Report(
    metrics=[DataDriftPreset()], 
    options=[color_scheme]
)

data_drift_report.run(iris_ref, iris_cur)

Here is an example of the report with the modified color scheme:

Or pass one of the preconfigured schemes to your Report:

data_drift_report = Report(
    metrics=[DataDriftPreset()], 
    options=[BERLIN_AUTUMN_COLOR_OPTIONS]
)

data_drift_report.run(iris_ref, iris_cur)

data_drift_report.save_html("output.html")

Customize color in Test Suites

Either pass the above defined color_scheme to options of your TestSuite:

from evidently.test_preset import DataDriftTestPreset

# import the data as usual...
data_drift_dataset_tests = TestSuite(
    tests=[DataDriftTestPreset()], 
    options=[color_scheme]
)

data_drift_dataset_tests.run(reference_data=iris_ref, current_data=iris_cur)
data_drift_dataset_tests

Or pass one of the preconfigured schemes to your TestSuite:

data_drift_dataset_tests = TestSuite(
    tests=[DataDriftTestPreset()], 
    options=[BERLIN_AUTUMN_COLOR_OPTIONS]
)

data_drift_dataset_tests.run(reference_data=iris_ref, current_data=iris_cur)
data_drift_dataset_tests