[Demo] Add diverging stacked bar chart to visual-vocabulary

vizro-core/changelog.d/20241016_085324_90609403+huong-li-nguyen_DivergingBar.md

@@ -0,0 +1,48 @@
+<!--
+A new scriv changelog fragment.
+
+Uncomment the section that is right (remove the HTML comment wrapper).
+-->
+
+<!--
+### Highlights ✨
+
+- A bullet item for the Highlights ✨ category with a link to the relevant PR at the end of your entry, e.g. Enable feature XXX. ([#1](https://github.com/mckinsey/vizro/pull/1))
+
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+### Removed
+
+- A bullet item for the Removed category with a link to the relevant PR at the end of your entry, e.g. Enable feature XXX. ([#1](https://github.com/mckinsey/vizro/pull/1))
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+### Added
+
+- A bullet item for the Added category with a link to the relevant PR at the end of your entry, e.g. Enable feature XXX. ([#1](https://github.com/mckinsey/vizro/pull/1))
+
+-->
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+### Changed
+
+- A bullet item for the Changed category with a link to the relevant PR at the end of your entry, e.g. Enable feature XXX. ([#1](https://github.com/mckinsey/vizro/pull/1))
+
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+### Deprecated
+
+- A bullet item for the Deprecated category with a link to the relevant PR at the end of your entry, e.g. Enable feature XXX. ([#1](https://github.com/mckinsey/vizro/pull/1))
+
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+### Fixed
+
+- A bullet item for the Fixed category with a link to the relevant PR at the end of your entry, e.g. Enable feature XXX. ([#1](https://github.com/mckinsey/vizro/pull/1))
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+### Security
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+- A bullet item for the Security category with a link to the relevant PR at the end of your entry, e.g. Enable feature XXX. ([#1](https://github.com/mckinsey/vizro/pull/1))
+
+-->

vizro-core/examples/visual-vocabulary/chart_groups.py

@@ -50,7 +50,6 @@ class ChartGroup:
     name="Deviation",
     pages=pages.deviation.pages,
     incomplete_pages=[
-        IncompletePage("Diverging stacked bar"),
         IncompletePage(title="Surplus deficit filled line"),
     ],
     icon="Contrast Square",

vizro-core/examples/visual-vocabulary/custom_charts.py

@@ -1,5 +1,7 @@
 """Contains custom charts used inside the dashboard."""
 
+from typing import Optional
+
 import pandas as pd
 import vizro.plotly.express as px
 from plotly import graph_objects as go
@@ -231,3 +233,70 @@ def dumbbell(data_frame: pd.DataFrame, x: str, y: str, color: str) -> go.Figure:
     # Increase size of dots
     fig.update_traces(marker_size=12)
     return fig
+
+
+@capture("graph")
+def diverging_stacked_bar(
+    data_frame,
+    y: str,
+    category_pos: list[str],
+    category_neg: list[str],
+    color_discrete_map: Optional[dict[str, str]] = None,
+) -> go.Figure:
+    """Creates a horizontal diverging stacked bar chart (with positive and negative values only) using Plotly's go.Bar.
+
+    This type of chart is a variant of the standard stacked bar chart, with bars aligned on a central baseline to
+    show both positive and negative values. Each bar is segmented to represent different categories.
+
+    This function is not suitable for diverging stacked bar charts that include a neutral category.
+
+    Inspired by: https://community.plotly.com/t/need-help-in-making-diverging-stacked-bar-charts/34023
+
+    Args:
+       data_frame (pd.DataFrame): The data frame for the chart.
+       y (str): The name of the categorical column in the data frame to be used for the y-axis (categories)
+       category_pos (list[str]): List of column names in the data frame representing positive values. Columns should be
+            ordered from least to most positive.
+       category_neg (list[str]): List of column names in the DataFrame representing negative values. Columns should be
+            ordered from least to most negative.
+       color_discrete_map: Optional[dict[str, str]]: A dictionary mapping category names to color strings.
+
+    Returns:
+       go.Figure: A Plotly Figure object representing the horizontal diverging stacked bar chart.
+    """
+    fig = go.Figure()
+
+    # Add traces for negative categories
+    for column in category_neg:
+        fig.add_trace(
+            go.Bar(
+                x=-data_frame[column].to_numpy(),
+                y=data_frame[y],
+                orientation="h",
+                name=column,
+                marker_color=color_discrete_map.get(column, None) if color_discrete_map else None,
+            )
+        )
+
+    # Add traces for positive categories
+    for column in category_pos:
+        fig.add_trace(
+            go.Bar(
+                x=data_frame[column],
+                y=data_frame[y],
+                orientation="h",
+                name=column,
+                marker_color=color_discrete_map.get(column, None) if color_discrete_map else None,
+            )
+        )
+
+    # Update layout and add central baseline
+    fig.update_layout(barmode="relative")
+    fig.add_vline(x=0, line_width=2, line_color="grey")
+
+    # Update legend order to go from most negative to most positive
+    category_order = category_neg[::-1] + category_pos
+    for i, category in enumerate(category_order):
+        fig.update_traces(legendrank=i, selector=({"name": category}))
+
+    return fig

vizro-core/examples/visual-vocabulary/pages/_pages_utils.py

@@ -30,7 +30,6 @@ def make_code_clipboard_from_py_file(filepath: str):
 stocks = px.data.stocks()
 tips = px.data.tips()
 wind = px.data.wind()
-
 ages = pd.DataFrame(
     {
         "Age": ["0-19", "20-29", "30-39", "40-49", "50-59", ">=60"],
@@ -76,7 +75,6 @@ def make_code_clipboard_from_py_file(filepath: str):
     }
 )
 
-
 pastries = pd.DataFrame(
     {
         "pastry": [
@@ -94,10 +92,13 @@ def make_code_clipboard_from_py_file(filepath: str):
             "Pies",
         ],
         "Profit Ratio": [-0.10, -0.15, -0.05, 0.10, 0.05, 0.20, 0.15, -0.08, 0.08, -0.12, 0.02, -0.07],
+        "Strongly Disagree": [20, 30, 10, 5, 15, 5, 10, 25, 8, 20, 5, 10],
+        "Disagree": [30, 25, 20, 10, 20, 10, 15, 30, 12, 30, 10, 15],
+        "Agree": [30, 25, 40, 40, 45, 40, 40, 25, 40, 30, 45, 35],
+        "Strongly Agree": [20, 20, 30, 45, 20, 45, 35, 20, 40, 20, 40, 40],
     }
 )
 
-
 salaries = pd.DataFrame(
     {
         "Job": ["Developer", "Analyst", "Manager", "Specialist"] * 2,

vizro-core/examples/visual-vocabulary/pages/deviation.py

@@ -3,6 +3,7 @@
 import plotly.io as pio
 import vizro.models as vm
 import vizro.plotly.express as px
+from custom_charts import diverging_stacked_bar
 
 from pages._factories import butterfly_factory
 from pages._pages_utils import PAGE_GRID, make_code_clipboard_from_py_file, pastries
@@ -51,4 +52,50 @@
     ],
 )
 
-pages = [butterfly, diverging_bar]
+diverging_stacked_bar = vm.Page(
+    title="Diverging stacked bar",
+    path="deviation/diverging-stacked-bar",
+    layout=vm.Layout(grid=PAGE_GRID),
+    components=[
+        vm.Card(
+            text="""
+
+            #### What is a diverging stacked bar?
+
+            A diverging stacked bar chart is like a stacked bar chart but aligns bars on a central baseline instead of
+            the left or right. It displays positive and negative values, with each bar divided into segments for
+            different categories. This type of chart is commonly used for percentage shares, especially in survey
+            results using Likert scales (e.g., Strongly Disagree, Disagree, Agree, Strongly Agree).
+
+             
+
+            #### When should I use it?
+
+            A diverging stacked bar chart is useful for comparing positive and negative values and showing the
+            composition of each bar. However, use this chart with caution: since none of the segments share a
+            common baseline, direct comparisons can be more challenging. For clearer comparisons, consider using a
+            100% stacked bar chart with a baseline starting from the left or right. For more insights on the potential
+            pitfalls, we recommend reading the article from
+            [Datawrapper on diverging stacked bar charts](https://blog.datawrapper.de/divergingbars/).
+        """
+        ),
+        vm.Graph(
+            title="Would you recommend the pastry to your friends?",
+            figure=diverging_stacked_bar(
+                data_frame=pastries,
+                y="pastry",
+                category_pos=["Agree", "Strongly Agree"],
+                category_neg=["Disagree", "Strongly Disagree"],
+                color_discrete_map={
+                    "Strongly Agree": "#1a85ff",
+                    "Agree": "#70a1ff",
+                    "Disagree": "#ff5584",
+                    "Strongly Disagree": "#d41159",
+                },
+            ),
+        ),
+        make_code_clipboard_from_py_file("diverging_stacked_bar.py"),
+    ],
+)
+
+pages = [butterfly, diverging_bar, diverging_stacked_bar]

vizro-core/examples/visual-vocabulary/pages/examples/diverging_stacked_bar.py

@@ -0,0 +1,123 @@
+from typing import Optional
+
+import pandas as pd
+import plotly.graph_objects as go
+import vizro.models as vm
+from vizro import Vizro
+from vizro.models.types import capture
+
+pastries = pd.DataFrame(
+    {
+        "pastry": [
+            "Scones",
+            "Bagels",
+            "Muffins",
+            "Cakes",
+            "Donuts",
+            "Cookies",
+            "Croissants",
+            "Eclairs",
+            "Brownies",
+            "Tarts",
+            "Macarons",
+            "Pies",
+        ],
+        "Profit Ratio": [-0.10, -0.15, -0.05, 0.10, 0.05, 0.20, 0.15, -0.08, 0.08, -0.12, 0.02, -0.07],
+        "Strongly Disagree": [20, 30, 10, 5, 15, 5, 10, 25, 8, 20, 5, 10],
+        "Disagree": [30, 25, 20, 10, 20, 10, 15, 30, 12, 30, 10, 15],
+        "Agree": [30, 25, 40, 40, 45, 40, 40, 25, 40, 30, 45, 35],
+        "Strongly Agree": [20, 20, 30, 45, 20, 45, 35, 20, 40, 20, 40, 40],
+    }
+)
+
+
+@capture("graph")
+def diverging_stacked_bar(
+    data_frame,
+    y: str,
+    category_pos: list[str],
+    category_neg: list[str],
+    color_discrete_map: Optional[dict[str, str]] = None,
+) -> go.Figure:
+    """Creates a horizontal diverging stacked bar chart (with positive and negative values only) using Plotly's go.Bar.
+
+    This type of chart is a variant of the standard stacked bar chart, with bars aligned on a central baseline to
+    show both positive and negative values. Each bar is segmented to represent different categories.
+
+    This function is not suitable for diverging stacked bar charts that include a neutral category.
+
+    Inspired by: https://community.plotly.com/t/need-help-in-making-diverging-stacked-bar-charts/34023
+
+    Args:
+       data_frame (pd.DataFrame): The data frame for the chart.
+       y (str): The name of the categorical column in the data frame to be used for the y-axis (categories)
+       category_pos (list[str]): List of column names in the data frame representing positive values. Columns should be
+            ordered from least to most positive.
+       category_neg (list[str]): List of column names in the DataFrame representing negative values. Columns should be
+            ordered from least to most negative.
+       color_discrete_map: Optional[dict[str, str]]: A dictionary mapping category names to color strings.
+
+    Returns:
+       go.Figure: A Plotly Figure object representing the horizontal diverging stacked bar chart.
+    """
+    fig = go.Figure()
+
+    # Add traces for negative categories
+    for column in category_neg:
+        fig.add_trace(
+            go.Bar(
+                x=-data_frame[column].to_numpy(),
+                y=data_frame[y],
+                orientation="h",
+                name=column,
+                marker_color=color_discrete_map.get(column, None) if color_discrete_map else None,
+            )
+        )
+
+    # Add traces for positive categories
+    for column in category_pos:
+        fig.add_trace(
+            go.Bar(
+                x=data_frame[column],
+                y=data_frame[y],
+                orientation="h",
+                name=column,
+                marker_color=color_discrete_map.get(column, None) if color_discrete_map else None,
+            )
+        )
+
+    # Update layout and add central baseline
+    fig.update_layout(barmode="relative")
+    fig.add_vline(x=0, line_width=2, line_color="grey")
+
+    # Update legend order to go from most negative to most positive
+    category_order = category_neg[::-1] + category_pos
+    for i, category in enumerate(category_order):
+        fig.update_traces(legendrank=i, selector=({"name": category}))
+
+    return fig
+
+
+page = vm.Page(
+    title="Diverging stacked bar",
+    components=[
+        vm.Graph(
+            title="Would you recommend the pastry to your friends?",
+            figure=diverging_stacked_bar(
+                data_frame=pastries,
+                y="pastry",
+                category_pos=["Agree", "Strongly Agree"],
+                category_neg=["Disagree", "Strongly Disagree"],
+                color_discrete_map={
+                    "Strongly Agree": "#1a85ff",
+                    "Agree": "#70a1ff",
+                    "Disagree": "#ff5584",
+                    "Strongly Disagree": "#d41159",
+                },
+            ),
+        ),
+    ],
+)
+
+dashboard = vm.Dashboard(pages=[page])
+Vizro().build(dashboard).run()