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Change color schema
You can modify the colors in the Reports and Tests.
You can refer to an example How-to-notebook showing how to customize the color schema in your reports and test suites:
By default, Evidently widgets use the red-grey color scheme. However, you can either define individual colors or take advantage of preconfigured color schemes.
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. |
--- | | |
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
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")
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
Last modified 4mo ago