Update tooltip

.pre-commit-config.yaml

@@ -1,6 +1,28 @@
 repos:
 -   repo: local
     hooks:
+    - id: ruff
+      name: ruff
+      description: "Run 'ruff' for extremely fast Python linting"
+      entry: ruff check --force-exclude
+      language: python
+      types_or: [python, pyi]
+      args: []
+      require_serial: true
+      additional_dependencies: []
+      minimum_pre_commit_version: "2.9.2"
+
+    - id: ruff-format
+      name: ruff-format
+      description: "Run 'ruff format' for extremely fast Python formatting"
+      entry: ruff format --force-exclude
+      language: python
+      types_or: [python, pyi]
+      args: []
+      require_serial: true
+      additional_dependencies: []
+      minimum_pre_commit_version: "2.9.2"
+
     -   id: black-fix
         name: black (auto format)
         entry: ./env/Scripts/black.exe
@@ -13,20 +35,6 @@ repos:
         language: system
         types: [python]
 
-    -   id: pytest-selenium
-        name: pytest (selenium tests)
-        entry: ./env/Scripts/pytest.exe
-        args: ['tests/', '-k', 'selenium', '--webdriver', 'Firefox']
-        language: system
-        pass_filenames: false
-
-    -   id: pytest-non-selenium
-        name: pytest (non-selenium tests)
-        entry: ./env/Scripts/pytest.exe
-        args: ['tests/', '-k', 'not selenium']
-        language: system
-        pass_filenames: false
-
     -   id: black
         name: black
         entry: ./env/Scripts/black.exe
@@ -39,30 +47,22 @@ repos:
         language: system
         types: [python]
 
-    - id: ruff
-      name: ruff
-      description: "Run 'ruff' for extremely fast Python linting"
-      entry: ruff check --force-exclude
-      language: python
-      types_or: [python, pyi]
-      args: []
-      require_serial: true
-      additional_dependencies: []
-      minimum_pre_commit_version: "2.9.2"
-
-    - id: ruff-format
-      name: ruff-format
-      description: "Run 'ruff format' for extremely fast Python formatting"
-      entry: ruff format --force-exclude
-      language: python
-      types_or: [python, pyi]
-      args: []
-      require_serial: true
-      additional_dependencies: []
-      minimum_pre_commit_version: "2.9.2"
-
     -   id: mypy
         name: mypy
         entry: ./env/Scripts/mypy.exe
         language: system
         types: [python]
+
+    -   id: pytest-selenium
+        name: pytest (selenium tests)
+        entry: ./env/Scripts/pytest.exe
+        args: ['tests/', '-k', 'selenium', '--webdriver', 'Firefox', '--testmon']
+        language: system
+        pass_filenames: false
+
+    -   id: pytest-non-selenium
+        name: pytest (non-selenium tests)
+        entry: ./env/Scripts/pytest.exe
+        args: ['tests/', '-k', 'not selenium', '--testmon']
+        language: system
+        pass_filenames: false

.python-version

@@ -1 +1 @@
-3.12.0
+3.12.3

README.md

@@ -135,6 +135,117 @@ tooltip(app10, style=custom_style, graph_ids=["graph-id"], template=template, de
 For more examples, refer to the provided `dash_tooltip_demo.py` and check out [Plotly’s Text and Annotations documentation](https://plotly.com/python/text-and-annotations/#styling-and-coloring-annotations), which provides a wealth of information on customizing the appearance of annotations.
 Refer to the [Plotly Annotation Reference](https://plotly.com/python/reference/layout/annotations/) for a comprehensive guide on available styling attributes and how to apply them.
 
+## Template updating
+
+Tooltip content can be updated to match with selected data in a dynamic Dash app:
+```python
+GRAPH_ID = "scatter-plot16a"
+
+# Sample DataFrame with DatetimeIndex
+date_range = pd.date_range(start="2025-01-01", periods=5)
+df = pd.DataFrame(
+    {
+        "x": [1, 2, 3, 4, 5],
+        "y": [2, 4, 6, 8, 10],
+        "z": [3, 6, 9, 12, 15],
+        "a": [4, 8, 12, 16, 20],
+        "b": [5, 10, 15, 20, 25],
+    },
+    index=date_range,
+)
+
+# Initialize the Dash app
+app16 = dash.Dash(__name__)
+
+# Define the layout
+app16.layout = html.Div(
+    [
+        html.Label("Select X and Y columns:"),
+        dcc.Dropdown(
+            id="x-column",
+            options=[{"label": col, "value": col} for col in df.columns],
+            placeholder="Select X axis data",
+        ),
+        dcc.Dropdown(
+            id="y-column",
+            options=[{"label": col, "value": col} for col in df.columns],
+            placeholder="Select Y axis data",
+        ),
+        dcc.Graph(
+            id=GRAPH_ID,
+            style={"width": "600px", "height": "600px"},
+            config={
+                "editable": True,
+                "edits": {"shapePosition": True, "annotationPosition": True},
+            },
+        ),
+    ]
+)
+
+# Create a tooltip instance
+tooltip_instance16 = tooltip(app16, graph_ids=[GRAPH_ID])
+
+# Define callback to update the scatter plot
+@app16.callback(
+    Output(GRAPH_ID, "figure", allow_duplicate=True),
+    [Input("x-column", "value"), Input("y-column", "value")],
+    prevent_initial_call=True,
+)
+def update_scatter_plot(x_column, y_column):
+    if not x_column or not y_column:
+        raise PreventUpdate  # Prevent update if either dropdown is not selected
+
+    non_selected_columns = [
+        col for col in df.columns if col not in [x_column, y_column]
+    ]
+    customdata = df[non_selected_columns].apply(
+        lambda row: "<br>".join(
+            f"{col}: {val}" for col, val in zip(non_selected_columns, row)
+        ),
+        axis=1,
+    )
+    # gives (depending on selected entries):
+    # 2022-01-01     x: 1<br>z: 3<br>b: 5
+    # 2022-01-02     x: 2<br>z: 6<br>b: 10
+    # ...
+
+    # New template, to match selected data entries
+    template = (
+        "<b>Date</b>: %{customdata}<br>"
+        + f"<b>{x_column}: %{{x}}<br>"
+        + f"{y_column}: %{{y}}</b><br>"
+    )
+    # gives (depending on selected entries):
+    # <b>Date</b>: %{customdata}<br><b>x: %{x}<br><b>a</b>: %{y}<br>
+
+    # Update template for new tooltips
+    tooltip_instance16.update_template(graph_id=GRAPH_ID, template=template)
+
+    trace = go.Scatter(
+        x=df[x_column],
+        y=df[y_column],
+        mode="markers",
+        marker=dict(color="blue"),
+        customdata=df.index.strftime("%Y-%m-%d %H:%M:%S") + "<br>" + customdata,
+        # Include date and time with other data
+        hovertemplate=template,
+    )
+    layout = go.Layout(
+        title="Scatter Plot",
+        xaxis=dict(title=x_column),
+        yaxis=dict(title=y_column),
+        hovermode="closest",
+        height=800,
+        width=800,
+    )
+    return {"data": [trace], "layout": layout}
+
+
+# Run the app
+if __name__ == "__main__":
+    app16.run_server(debug=False, port=8196)
+```
+
 ## Handling Log Axes
 
 Due to a long-standing bug in Plotly (see [Plotly Issue #2580](https://github.com/plotly/plotly.py/issues/2580)), annotations (`fig.add_annotation`) may not be placed correctly on log-scaled axes. The `dash_tooltip` module provides an option to automatically correct the tooltip placement on log-scaled axes via the `apply_log_fix` argument in the `tooltip` function. By default, `apply_log_fix` is set to `True` to enable the fix.

dash_qt_demo2.py

@@ -1,16 +1,17 @@
 import http.client
-import threading
 import os
 import sys
+import threading
 import time
 
 import dash
 import numpy as np
+import plotly.graph_objects as go
 from dash import dcc, html
 from PyQt6.QtCore import QUrl
 from PyQt6.QtWebEngineWidgets import QWebEngineView
 from PyQt6.QtWidgets import QApplication, QFileDialog, QMainWindow
-import plotly.graph_objects as go
+
 from dash_tooltip import tooltip
 
 dash_port = 8050
@@ -89,8 +90,8 @@ def create_dash_app():
     layout_margin = {"l": 25, "r": 25, "t": 25, "b": 25}
 
     # Creating a grid of x and y values
-    x = np.linspace(0, 10, 100)
-    y = np.linspace(0, 10, 100)
+    x = np.linspace(0, 10, 400)
+    y = np.linspace(0, 10, 400)
     X, Y = np.meshgrid(x, y)
 
     # Calculate Z as a function of X and Y
@@ -102,7 +103,7 @@ def create_dash_app():
             z=Z,
             x=x,
             y=y,
-            colorscale="Viridis"
+            colorscale="Viridis",
             # You can change the colorscale as needed
         ),
         layout=go.Layout(margin=layout_margin),
@@ -151,7 +152,10 @@ def create_dash_app():
     template1 = "x: %{x:.2f},<br>y: %{y:.2f}"
     tooltip(app, template=template1, graph_ids=["example-graph1"])
     template2 = "x: %{x:.2f},<br>y: %{y:.2f},<br>z: %{z:.3f}"
-    tooltip(app, template=template2, graph_ids=["example-graph2"])
+    tooltip_style = {
+        "bgcolor": "rgba(255, 255, 255, 0.2)",
+    }
+    tooltip(app, style=tooltip_style, template=template2, graph_ids=["example-graph2"])
     return app