feat!: Refactor Report into Report and DefaultReport.

api-example.md

@@ -35,7 +35,7 @@ dataset.head()
 ```
 
 ```python
-report = edvart.Report(
+report = edvart.DefaultReport(
     dataset,
     verbosity=0,
     columns_overview=['Name', 'Survived'],
@@ -69,7 +69,7 @@ dataset_ts = edvart.example_datasets.dataset_global_temp()
 ```
 
 ```python
-report_ts = edvart.TimeseriesReport(
+report_ts = edvart.DefaultTimeseriesReport(
     dataset_ts,
     # Monthly data -> analyze yearly seasonality
     sampling_rate=12,

docs/advanced.rst

@@ -10,7 +10,10 @@ Report class
 ------------
 
 The most important class of the package :py:class:`~edvart.report.Report`.
-This class allows you to specify :ref:`verbosity <verbosity>` or specify which columns should be used.
+The report consists of sections, which can be added via methods of the `Report` class.
+The report is empty by default.
+The class :py:class:`~edvart.report.DefaultReport` is a subclass of `Report`,
+which contains a default set of sections.
 
 With created instance of `Report` you can:
 
@@ -114,17 +117,18 @@ or modifying sections settings.
 
 Selection of sections
 ~~~~~~~~~~~~~~~~~~~~~
-
-If you want to use only a subset of sections you have to set
-`use_default_sections` parameter of report to `False` and then you can add your own sections.
+You can add sections using methods `add_*` of the `Report` class.
 
 .. code-block:: python
 
-    # Shows only univariate analysis
+    # Shows only univariate and bivariate analysis
     import edvart
     df = edvart.example_datasets.dataset_titanic()
-    report = edvart.Report(df, use_default_sections=False)
-    report.add_univariate_analysis()
+    report = (
+      edvart.Report(df)
+        .add_univariate_analysis()
+        .add_bivariate_analysis()
+    )
 
 
 Sections configuration
@@ -141,7 +145,7 @@ Or you can set section verbosity (described later).
   import edvart
 
   df = edvart.example_datasets.dataset_titanic()
-  report = edvart.Report(df, columns_overview=["Name", "Survived"], use_default_sections=False)
+  report = edvart.Report(df)
 
   report.add_overview(omit_columns=["PassengerId"]).add_univariate_analysis(
     use_columns=["Name", "Sex", "Age"]
@@ -176,7 +180,7 @@ Examples:
     import edvart
 
     df = edvart.example_datasets.dataset_titanic()
-    edvart.Report(df, verbosity=1).export_notebook("test-export.ipynb")
+    edvart.DefaultReport(df, verbosity=1).export_notebook("test-export.ipynb")
 
 
 .. code-block:: python
@@ -185,4 +189,4 @@ Examples:
     import edvart
 
     df = edvart.example_datasets.dataset_titanic()
-    edvart.Report(df, verbosity=1, verbosity_univariate_analysis=2).export_notebook("test-export.ipynb")
+    edvart.DefaultReport(df, verbosity=1, verbosity_univariate_analysis=2).export_notebook("test-export.ipynb")

docs/getting_started.rst

@@ -7,15 +7,15 @@ Getting started
 
     import edvart
     df = edvart.example_datasets.dataset_titanic()
-    edvart.Report(df).show()
+    edvart.DefaultReport(df).show()
 
 2. Generate report notebook
 
 .. code-block:: python
 
     import edvart
     df = edvart.example_datasets.dataset_titanic()
-    report = edvart.Report(df)
+    report = edvart.DefaultReport(df)
     report.export_notebook("titanic_report.ipynb")
 
 You can modify the generated notebook if you want to modify some settings.
@@ -28,7 +28,7 @@ For more advanced usage of edvart, please read the documentation section
 
     import edvart
     df = edvart.example_datasets.dataset_titanic()
-    report = edvart.Report(df)
+    report = edvart.DefaultReport(df)
     report.export_html(
         html_filepath="titanic_report.html",
         dataset_name="Titanic",

edvart/__init__.py

@@ -4,6 +4,7 @@
 from importlib.metadata import PackageNotFoundError, version
 
 from edvart import example_datasets
+from edvart.report import DefaultReport, DefaultTimeseriesReport
 from edvart.report import Report
 from edvart.report import Report as create_report
 from edvart.report import TimeseriesReport