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vizro-core/docs/pages/user-guides/data.md

@@ -18,11 +18,11 @@ graph TD
   refresh -- Yes --> dynamic
   specification -- No --> static-direct
   specification -- Yes --> static-name
-  
+
   click static-direct href "../static-data#supply-directly"
   click static-name href "../static-data#reference-by-name"
   click dynamic href "../dynamic-data"
-  
+
   classDef clickable color:#4051b5;
 ```
 

vizro-core/docs/pages/user-guides/dynamic-data.md

@@ -51,7 +51,7 @@ Since dynamic data sources must always be added to the Data Manager and referenc
 
 By default, every time the dashboard is refreshed a dynamic data function will be executed again. This means that your dashboard will always show the very latest data. In fact, if there are multiple graphs on the same page using the same dynamic data source then the loading function will be executed _multiple_ times, once for each graph on the page. Hence, if loading your data is a slow operation, your dashboard performance may suffer.
 
-The Vizro Data Manager has a server-side caching mechanism to help solve this. Vizro's cache uses [Flask-Caching](https://flask-caching.readthedocs.io/en/latest/), which supports a number of possible cache backends and [configuration options](https://flask-caching.readthedocs.io/en/latest/#configuring-flask-caching). By default, the cache is turned off. 
+The Vizro Data Manager has a server-side caching mechanism to help solve this. Vizro's cache uses [Flask-Caching](https://flask-caching.readthedocs.io/en/latest/), which supports a number of possible cache backends and [configuration options](https://flask-caching.readthedocs.io/en/latest/#configuring-flask-caching). By default, the cache is turned off.
 
 In a development environment the easiest way to enable caching is to use a [simple memory cache](https://cachelib.readthedocs.io/en/stable/simple/) with the default configuration options. This is achieved by adding one line to the above example to set `data_manager.cache`:
 
@@ -68,7 +68,7 @@ In a development environment the easiest way to enable caching is to use a [simp
     def load_iris_data():
         iris = pd.read_csv("iris.csv")
         return iris.sample(30)
-    
+
     data_manager.cache = Cache(config={"CACHE_TYPE": "SimpleCache"})
     data_manager["iris"] = load_iris_data
 

vizro-core/examples/_dev/app.py

@@ -1,8 +1,5 @@
 """Example to show dashboard configuration."""
 
-from typing import Optional
-
-import pandas as pd
 import vizro.models as vm
 import vizro.plotly.express as px
 from flask_caching import Cache
@@ -34,7 +31,6 @@
         vm.Graph(figure=px.scatter("no_expire_data", "sepal_width", "sepal_length")),
     ],
     controls=[vm.Filter(column="species")],
-
 )
 dashboard = vm.Dashboard(pages=[page])
 app = Vizro().build(dashboard)

vizro-core/mkdocs.yml

@@ -108,7 +108,6 @@ markdown_extensions:
       emoji_index: !!python/name:material.extensions.emoji.twemoji
       emoji_generator: !!python/name:material.extensions.emoji.to_svg
 
-
 plugins:
   - search
   - autorefs

vizro-core/src/vizro/_vizro.py

@@ -122,7 +122,8 @@ def _reset():
         """Private method that clears all state in the `Vizro` app.
 
         This deliberately does not clear the data manager cache - see comments in data_manager._clear for
-        explanation."""
+        explanation.
+        """
         data_manager._clear()
         model_manager._clear()
         dash._callback.GLOBAL_CALLBACK_LIST = []

vizro-core/src/vizro/managers/_data_manager.py

@@ -2,12 +2,9 @@
 
 from __future__ import annotations
 
-import warnings
-
-from contextlib import suppress
-
 import logging
 import os
+import warnings
 from typing import Callable, Dict, Optional, Union
 
 import pandas as pd

vizro-core/tests/unit/vizro/managers/test_data_manager.py

@@ -1,17 +1,16 @@
 """Unit tests for vizro.managers.data_manager."""
-from contextlib import suppress
 
 import time
+from contextlib import suppress
 
 import numpy as np
 import pandas as pd
 import pytest
-from flask_caching import Cache
-
 from asserts import assert_frame_not_equal
+from flask_caching import Cache
+from pandas.testing import assert_frame_equal
 from vizro import Vizro
 from vizro.managers import data_manager
-from pandas.testing import assert_frame_equal
 
 
 @pytest.fixture(autouse=True)