Colab and other environments

Search…

How to use Evidently in different notebook environments.

To install evidently, run the following command in the notebook cell:
!pip install evidently
To build a Dashboard or a Profile in Google Colab, Kaggle Notebook or Deepnote, simply repeat the steps described above.
For example, to build the Data Drift dashboard, run:
import pandas as pd
from sklearn import datasets
​
from evidently.dashboard import Dashboard
from evidently.dashboard.tabs import DataDriftTab
​
iris = datasets.load_iris()
iris_frame = pd.DataFrame(iris.data, columns = iris.feature_names)
​
iris_data_drift_report = Dashboard(tabs=[DataDriftTab()])
iris_data_drift_report.calculate(iris_frame[:100], iris_frame[100:])
To display the dashboard in the Google Colab, Kaggle Kernel, Deepnote, run:
iris_data_drift_report.show()
The show() method has the argument mode which can take the following options:
auto - the default option. Ideally, you will not need to specify the value for mode and can use the default. But if it does not work (in case we failed to determine the environment automatically), consider setting the correct value explicitly.
nbextention - to show the UI using nbextension. Use this option to display dashboards in Jupyter notebooks (it should work automatically).
inline - to insert the UI directly into the cell. Use this option for Google Colab, Kaggle Kernels, and Deepnote. For Google Colab, this should work automatically. For Kaggle Kernels and Deepnote the option should be specified explicitly:
iris_data_drift_report.show(mode='inline')

CLI

Next - Features

Profiling

Last modified 6mo ago

Copy link

Edit on GitHub