Code sample for chart example (#811)

* Code sample for chart example

doc/gui/examples/charts/advanced-python-lib.py

@@ -0,0 +1,52 @@
+# Copyright 2021-2024 Avaiga Private Limited
+#
+# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
+# the License. You may obtain a copy of the License at
+#
+#        http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
+# an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
+# specific language governing permissions and limitations under the License.
+# -----------------------------------------------------------------------------------------
+# To execute this script, make sure that the taipy-gui package is installed in your
+# Python environment and run:
+#     python <script>
+# -----------------------------------------------------------------------------------------
+# This script needs to run in a Python environment where the plotly-express package is
+# installed.
+# -----------------------------------------------------------------------------------------
+import numpy as np
+import plotly.graph_objects as go
+
+from taipy.gui import Gui
+
+# Create the Plotly figure object
+figure = go.Figure()
+
+# Add trace for Normal Distribution
+figure.add_trace(go.Violin(name="Normal",
+                           y=np.random.normal(loc=0, scale=1, size=1000),
+                           box_visible=True, meanline_visible=True))
+
+# Add trace for Exponential Distribution
+figure.add_trace(go.Violin(name="Exponential",
+                           y=np.random.exponential(scale=1, size=1000),
+                           box_visible=True, meanline_visible=True))
+
+# Add trace for Uniform Distribution
+figure.add_trace(go.Violin(name="Uniform",
+                           y=np.random.uniform(low=0, high=1, size=1000),
+                           box_visible=True, meanline_visible=True))
+
+# Updating layout for better visualization
+figure.update_layout(title="Different Probability Distributions")
+
+page = """
+# Plotly Python
+<|toggle|theme|>
+
+<|chart|figure={figure}|>
+"""
+
+Gui(page).run()