From c916905a45783eb9b87e2da603f1d8c07d34ee0c Mon Sep 17 00:00:00 2001 From: Li Nguyen <90609403+huong-li-nguyen@users.noreply.github.com> Date: Tue, 4 Jun 2024 13:42:56 +0200 Subject: [PATCH 1/3] [Demo] Add KPI dashboard to examples (#505) Co-authored-by: Alexey Snigir --- .pre-commit-config.yaml | 2 +- CODE_OF_CONDUCT.md | 2 +- ...147_huong_li_nguyen_creat_kpi_dashboard.md | 47 ++++ vizro-core/examples/demo/app.py | 6 +- .../examples/demo/jupyter_version/app.ipynb | 6 +- vizro-core/examples/kpi/README.md | 28 ++ vizro-core/examples/kpi/__init__.py | 1 + vizro-core/examples/kpi/app.py | 247 ++++++++++++++++++ vizro-core/examples/kpi/assets/css/custom.css | 76 ++++++ vizro-core/examples/kpi/assets/favicon.ico | Bin 0 -> 1535 bytes vizro-core/examples/kpi/assets/images/app.svg | 9 + .../examples/kpi/assets/images/logo.svg | 3 + vizro-core/examples/kpi/utils/__init__.py | 1 + vizro-core/examples/kpi/utils/_charts.py | 193 ++++++++++++++ vizro-core/examples/kpi/utils/_helper.py | 55 ++++ vizro-core/pyproject.toml | 3 +- vizro-core/tests/integration/test_examples.py | 7 +- 17 files changed, 673 insertions(+), 13 deletions(-) create mode 100644 vizro-core/changelog.d/20240531_141147_huong_li_nguyen_creat_kpi_dashboard.md create mode 100644 vizro-core/examples/kpi/README.md create mode 100644 vizro-core/examples/kpi/__init__.py create mode 100644 vizro-core/examples/kpi/app.py create mode 100644 vizro-core/examples/kpi/assets/css/custom.css create mode 100644 vizro-core/examples/kpi/assets/favicon.ico create mode 100644 vizro-core/examples/kpi/assets/images/app.svg create mode 100644 vizro-core/examples/kpi/assets/images/logo.svg create mode 100644 vizro-core/examples/kpi/utils/__init__.py create mode 100644 vizro-core/examples/kpi/utils/_charts.py create mode 100644 vizro-core/examples/kpi/utils/_helper.py diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 2aca092ca..5c1eec54f 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -30,7 +30,7 @@ repos: pass_filenames: false - repo: https://github.com/codespell-project/codespell - rev: v2.2.6 + rev: v2.3.0 hooks: - id: codespell additional_dependencies: diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md index d9e095858..421f29147 100644 --- a/CODE_OF_CONDUCT.md +++ b/CODE_OF_CONDUCT.md @@ -6,7 +6,7 @@ In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to making participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, sex characteristics, gender identity and expression, -level of experience, education, socio-economic status, nationality, personal +level of experience, education, socioeconomic status, nationality, personal appearance, race, religion, or sexual identity and orientation. ## Our Standards diff --git a/vizro-core/changelog.d/20240531_141147_huong_li_nguyen_creat_kpi_dashboard.md b/vizro-core/changelog.d/20240531_141147_huong_li_nguyen_creat_kpi_dashboard.md new file mode 100644 index 000000000..af62f46e3 --- /dev/null +++ b/vizro-core/changelog.d/20240531_141147_huong_li_nguyen_creat_kpi_dashboard.md @@ -0,0 +1,47 @@ + + + + + +### Added + +- Add KPI dashboard to examples. ([#505](https://github.com/mckinsey/vizro/pull/505)) + + + + + diff --git a/vizro-core/examples/demo/app.py b/vizro-core/examples/demo/app.py index aaf026efc..de07617b9 100644 --- a/vizro-core/examples/demo/app.py +++ b/vizro-core/examples/demo/app.py @@ -282,7 +282,7 @@ def create_relation_analysis(): vm.Card( text=""" Population, GDP per capita, and life expectancy are interconnected metrics that provide insights - into the socio-economic well-being of a country. + into the socioeconomic well-being of a country. Rapid population growth can strain resources and infrastructure, impacting GDP per capita. Higher GDP per capita often enables better healthcare and improved life expectancy, but other factors such as healthcare quality and social policies also play significant roles. @@ -329,7 +329,7 @@ def create_continent_summary(): ### Africa ![](assets/images/continents/africa.svg#my-image) - Africa, a diverse and expansive continent, faces both challenges and progress in its socio-economic + Africa, a diverse and expansive continent, faces both challenges and progress in its socioeconomic landscape. In 2007, Africa's GDP per capita was approximately $3,000, reflecting relatively slower growth compared to other continents like Oceania and Europe. @@ -362,7 +362,7 @@ def create_continent_summary(): and population has been significant, outpacing many other continents. In 2007, it boasted the highest population among all continents, with countries like China and India leading the way. - Despite facing various socio-economic challenges, Asia's increasing life expectancy from 46 years + Despite facing various socioeconomic challenges, Asia's increasing life expectancy from 46 years to 70 over the years reflects advancements in healthcare and overall well-being, making it a vital region driving global progress and development. """ diff --git a/vizro-core/examples/demo/jupyter_version/app.ipynb b/vizro-core/examples/demo/jupyter_version/app.ipynb index cb2d8e196..2ff5079b5 100644 --- a/vizro-core/examples/demo/jupyter_version/app.ipynb +++ b/vizro-core/examples/demo/jupyter_version/app.ipynb @@ -226,7 +226,7 @@ " vm.Card(\n", " text=\"\"\"\n", " Population, GDP per capita, and life expectancy are interconnected metrics that provide insights\n", - " into the socio-economic well-being of a country.\n", + " into the socioeconomic well-being of a country.\n", " Rapid population growth can strain resources and infrastructure, impacting GDP per capita. Higher\n", " GDP per capita often enables better healthcare and improved life expectancy, but other factors such\n", " as healthcare quality and social policies also play significant roles.\n", @@ -354,7 +354,7 @@ " ### Africa\n", " ![](assets/images/continents/africa.svg#my-image)\n", "\n", - " Africa, a diverse and expansive continent, faces both challenges and progress in its socio-economic\n", + " Africa, a diverse and expansive continent, faces both challenges and progress in its socioeconomic\n", " landscape. In 2007, Africa's GDP per capita was approximately $3,000, reflecting relatively slower\n", " growth compared to other continents like Oceania and Europe.\n", "\n", @@ -387,7 +387,7 @@ " and population has been significant, outpacing many other continents. In 2007, it boasted the\n", " highest population among all continents, with countries like China and India leading the way.\n", "\n", - " Despite facing various socio-economic challenges, Asia's increasing life expectancy from 46 years\n", + " Despite facing various socioeconomic challenges, Asia's increasing life expectancy from 46 years\n", " to 70 over the years reflects advancements in healthcare and overall well-being, making it a vital\n", " region driving global progress and development.\n", " \"\"\",\n", diff --git a/vizro-core/examples/kpi/README.md b/vizro-core/examples/kpi/README.md new file mode 100644 index 000000000..290f7fe0f --- /dev/null +++ b/vizro-core/examples/kpi/README.md @@ -0,0 +1,28 @@ +# KPI dashboard + +This demo dashboard provides an example of a Key Performance Indicator (KPI) dashboard, designed to help users get started and extend further. +It uses fictional budget data to demonstrate the capabilities of Vizro using real world applications. + +Special thanks to the [#RWFD Real World Fake Data initiative](https://opendatainitiative.io/), a community project that +provides high-quality fake data for creating realistic dashboard examples for real-world applications. + +Note: The data has been additionally edited for the purpose of this example. + +## How to run the example locally + +1. If you have `hatch` set up, run the example with the command `hatch run example kpi`. Otherwise, run the `app.py` file with your environment activated where `vizro` is installed. +2. You should now be able to access the app locally via http://127.0.0.1:8050/. + +## Possible future iterations + +- Enable selection of year filter +- Enable current year vs. past year comparison +- Enable dynamic KPI Cards +- Bar - Enable drill-downs from Issue to Sub-issue and Product to Sub-product +- Bar - Reformat numbers with commas in bar chart +- Bar - Left-align y-axis labels +- Bar - Shorten labels +- Line - Customize function to always show selected year vs. past year +- Table-view - Check why date format does not work on `Date Received` +- Table-view - Add icons to `On time?` column +- Table-view - Improve speed by applying cache or overcome limitation that entire data set is loaded in diff --git a/vizro-core/examples/kpi/__init__.py b/vizro-core/examples/kpi/__init__.py new file mode 100644 index 000000000..b41ef8656 --- /dev/null +++ b/vizro-core/examples/kpi/__init__.py @@ -0,0 +1 @@ +"""Contains all relevant files to run the example KPI dashboard.""" diff --git a/vizro-core/examples/kpi/app.py b/vizro-core/examples/kpi/app.py new file mode 100644 index 000000000..4a556d817 --- /dev/null +++ b/vizro-core/examples/kpi/app.py @@ -0,0 +1,247 @@ +"""Example to show dashboard configuration.""" + +import pandas as pd +import vizro.models as vm +from utils._charts import COLUMN_DEFS, KPI, bar, choropleth, line, pie +from utils._helper import clean_data_and_add_columns +from vizro import Vizro +from vizro.actions import filter_interaction +from vizro.tables import dash_ag_grid + +# DATA -------------------------------------------------------------------------------------------- +df_complaints = pd.read_csv("https://query.data.world/s/glbdstahsuw3hjgunz3zssggk7dsfu?dws=00000") +df_complaints = clean_data_and_add_columns(df_complaints) +vm.Container.add_type("components", KPI) + +# SUB-SECTIONS ------------------------------------------------------------------------------------ +kpi_banner = vm.Container( + id="kpi-banner", + title="", + components=[ + # Note: For some KPIs the icon/sign go in opposite directions as an increase e.g. in complaints is negative + KPI( + title="Total Complaints", + value="75.513", + icon="arrow_circle_up", + sign="delta-neg", + ref_value="6.8% vs. LY", + ), + KPI( + title="Closed Complaints", + value="99.6%", + icon="arrow_circle_up", + sign="delta-pos", + ref_value="+0.2% vs. LY", + ), + KPI( + title="Open Complaints", + value="0.4%", + icon="arrow_circle_down", + sign="delta-pos", + ref_value="-0.2% vs. LY", + ), + KPI( + title="Timely Response", + value="98.1%", + icon="arrow_circle_up", + sign="delta-pos", + ref_value="+10.5% vs. LY", + ), + KPI( + title="Closed w/o cost", + value="84.5%", + icon="arrow_circle_down", + sign="delta-neg", + ref_value="-8.5% vs. LY", + ), + KPI( + title="Consumer disputed", + value="9.5%", + icon="arrow_circle_up", + sign="delta-neg", + ref_value="+2.3% vs. LY", + ), + ], +) + +bar_charts_tabbed = vm.Tabs( + tabs=[ + vm.Container( + title="By Issue", + components=[ + vm.Graph( + figure=bar( + data_frame=df_complaints, + y="Issue", + x="Complaint ID", + ), + ) + ], + ), + vm.Container( + title="By Product", + components=[ + vm.Graph( + figure=bar( + data_frame=df_complaints, + y="Product", + x="Complaint ID", + ), + ) + ], + ), + vm.Container( + title="By Channel", + components=[ + vm.Graph( + figure=bar( + data_frame=df_complaints, + y="Channel", + x="Complaint ID", + ), + ) + ], + ), + vm.Container( + title="By Region", + components=[ + vm.Graph( + figure=bar( + data_frame=df_complaints, + y="Region", + x="Complaint ID", + ), + ) + ], + ), + ], +) + +# PAGES -------------------------------------------------------------------------------------- +page_exec = vm.Page( + title="Executive View", + layout=vm.Layout( + grid=[ + [0, 0], + [1, 2], + [1, 2], + [1, 3], + [1, 3], + ], + ), + components=[ + kpi_banner, + bar_charts_tabbed, + vm.Graph(figure=line(data_frame=df_complaints, y="Complaint ID", x="Year-Month Received")), + vm.Graph( + figure=pie( + data_frame=df_complaints[df_complaints["Company response - Closed"] != "Not closed"], + custom_order=[ + "Closed with explanation", + "Closed without relief", + "Closed with non-monetary relief", + "Closed with relief", + "Closed with monetary relief", + ], + values="Complaint ID", + names="Company response - Closed", + title="Closed company responses", + ) + ), + ], +) + +page_region = vm.Page( + title="Regional View", + layout=vm.Layout(grid=[[0, 0]] + [[1, 2]] * 4), + components=[ + vm.Card( + text=""" + ##### Click on a state inside the map to filter the bar charts on the right. + + - Which state has the most complaints? + - What are the three biggest issues in California? + - What is the product with the most complaints in Texas? + """ + ), + vm.Graph( + figure=choropleth( + data_frame=df_complaints, + locations="State", + color="Complaint ID", + title="Complaints by State", + custom_data=["State"], + ), + actions=[ + vm.Action( + function=filter_interaction(targets=["regional-issue", "regional-product"]), + ) + ], + ), + vm.Tabs( + tabs=[ + vm.Container( + title="By Issue", + components=[ + vm.Graph( + id="regional-issue", + figure=bar( + data_frame=df_complaints, + y="Issue", + x="Complaint ID", + ), + ) + ], + ), + vm.Container( + title="By Product", + components=[ + vm.Graph( + id="regional-product", + figure=bar( + data_frame=df_complaints, + y="Product", + x="Complaint ID", + ), + ) + ], + ), + ], + ), + ], + controls=[ + vm.Filter(column="Region", selector=vm.Checklist()), + vm.Filter(column="State"), + vm.Filter(column="Product"), + vm.Filter(column="Issue"), + ], +) + +page_table = vm.Page( + title="List of complaints", + components=[ + vm.AgGrid( + figure=dash_ag_grid( + data_frame=df_complaints, + columnDefs=COLUMN_DEFS, + ) + ) + ], +) + +dashboard = vm.Dashboard( + pages=[page_exec, page_region, page_table], + title="Cumulus Financial Corporation", + navigation=vm.Navigation( + nav_selector=vm.NavBar( + items=[ + vm.NavLink(label="Executive View", icon="Leaderboard", pages=["Executive View"]), + vm.NavLink(label="Regional View", icon="South America", pages=["Regional View"]), + vm.NavLink(label="Table View", icon="Table View", pages=["List of complaints"]), + ] + ) + ), +) + +if __name__ == "__main__": + Vizro().build(dashboard).run() diff --git a/vizro-core/examples/kpi/assets/css/custom.css b/vizro-core/examples/kpi/assets/css/custom.css new file mode 100644 index 000000000..8aa5a5bf3 --- /dev/null +++ b/vizro-core/examples/kpi/assets/css/custom.css @@ -0,0 +1,76 @@ +#page-header { + padding-left: 4px; +} + +.kpi-card-ref.card { + min-width: 168px; + padding: 8px; +} + +.kpi-card-ref h4 { + margin: 0; +} + +.kpi-card-ref > span { + display: flex; + font-weight: 600; + gap: 4px; +} + +.kpi-card-ref .delta-pos { + color: #1a85ff; +} + +.kpi-card-ref .delta-neg { + color: #d41159; +} + +.kpi-card-ref .material-symbols-outlined { + font-size: 16px; + line-height: 20px; +} + +.kpi-card-ref > div { + display: flex; + flex-direction: row; + gap: 8px; + margin: 0; +} + +.kpi-card-ref > p { + align-items: center; + color: var(--text-secondary); + display: flex; + flex-grow: 1; + font-size: 1rem; + font-size: 3.6vh; + font-weight: 600; + line-height: unset; +} + +.kpi-card-ref:has(.delta-pos) { + border-left: 4px solid #1a85ff; +} + +.kpi-card-ref:has(.delta-neg) { + border-left: 4px solid #d41159; +} + +.card ul { + margin-bottom: 0; +} + +#kpi-banner .container__title { + display: none; +} + +#kpi-banner .grid-layout { + display: flex; + flex-direction: row; + overflow: auto; +} + +#kpi-banner > ::-webkit-scrollbar-thumb { + border: 6px solid; + border-color: var(--main-container-bg-color); +} diff --git a/vizro-core/examples/kpi/assets/favicon.ico b/vizro-core/examples/kpi/assets/favicon.ico new file mode 100644 index 0000000000000000000000000000000000000000..240c9f541de1e47599bb047e63b008ccb268a4c3 GIT binary patch literal 1535 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--git a/vizro-core/examples/kpi/assets/images/logo.svg b/vizro-core/examples/kpi/assets/images/logo.svg new file mode 100644 index 000000000..0904b87de --- /dev/null +++ b/vizro-core/examples/kpi/assets/images/logo.svg @@ -0,0 +1,3 @@ + + + diff --git a/vizro-core/examples/kpi/utils/__init__.py b/vizro-core/examples/kpi/utils/__init__.py new file mode 100644 index 000000000..11387ccac --- /dev/null +++ b/vizro-core/examples/kpi/utils/__init__.py @@ -0,0 +1 @@ +"""Utils folder to contain helper functions and custom charts/components.""" diff --git a/vizro-core/examples/kpi/utils/_charts.py b/vizro-core/examples/kpi/utils/_charts.py new file mode 100644 index 000000000..d6ffd5147 --- /dev/null +++ b/vizro-core/examples/kpi/utils/_charts.py @@ -0,0 +1,193 @@ +"""Contains custom components and charts used inside the dashboard.""" + +from typing import List, Literal, Optional + +import dash_bootstrap_components as dbc +import pandas as pd +import vizro.models as vm +import vizro.plotly.express as px +from dash import html +from vizro.models.types import capture + + +# CUSTOM COMPONENTS ------------------------------------------------------------- +# Note: This is a static KPI Card only (it will not be reactive to controls). A new dynamic KPI Card component +# is currently in development. +class KPI(vm.VizroBaseModel): + """Static custom `KPI` Card.""" + + type: Literal["kpi"] = "kpi" + title: str + value: str + icon: str + sign: Literal["delta-pos", "delta-neg"] + ref_value: str + + def build(self): + return dbc.Card( + [ + html.H4(self.title), + html.P(self.value), + html.Span( + [ + html.Span(self.icon, className="material-symbols-outlined"), + html.Span(self.ref_value), + ], + className=self.sign, + ), + ], + className="kpi-card-ref", + ) + + +# CUSTOM CHARTS ---------------------------------------------------------------- +@capture("graph") +def bar( + x: str, + y: str, + data_frame: pd.DataFrame, + top_n: int = 15, + custom_data: Optional[List[str]] = None, +): + df_agg = data_frame.groupby(y).agg({x: "count"}).sort_values(by=x, ascending=False).reset_index() + + fig = px.bar( + data_frame=df_agg.head(top_n), + x=x, + y=y, + orientation="h", + text=x, + color_discrete_sequence=["#1A85FF"], + custom_data=custom_data, + ) + fig.update_layout(xaxis_title="# of Complaints", yaxis=dict(title="", autorange="reversed")) # noqa: C408 + return fig + + +@capture("graph") +def line(x: str, y: str, data_frame: pd.DataFrame): + df_agg = data_frame.groupby(x).agg({y: "count"}).reset_index() + fig = px.area( + data_frame=df_agg, + x=x, + y=y, + color_discrete_sequence=["#1A85FF"], + title="Complaints over time", + ) + fig.update_layout(xaxis_title="Date Received", yaxis_title="# of Complaints", title_pad_t=4) + return fig + + +@capture("graph") +def pie( + names: str, + values: str, + data_frame: pd.DataFrame = None, + title: Optional[str] = None, + custom_order: Optional[List[str]] = None, +): + df_agg = data_frame.groupby(names).agg({values: "count"}).reset_index() + + # Apply custom order so colors are applied correctly to the pie chart + order_mapping = {category: index for index, category in enumerate(custom_order)} + df_sorted = df_agg.sort_values(by=names, key=lambda names: names.map(order_mapping)) + + fig = px.pie( + data_frame=df_sorted, + names=names, + values=values, + color_discrete_sequence=["#1a85ff", "#7ea1ee", "#adbedc", "#df658c", "#d41159"], + title=title, + hole=0.4, + ) + + fig.update_layout(legend_x=1, legend_y=1, title_pad_t=2, margin=dict(l=0, r=0, t=60, b=0)) # noqa: C408 + fig.update_traces(sort=False) + return fig + + +@capture("graph") +def choropleth( + locations: str, + color: str, + data_frame: pd.DataFrame = None, + title: Optional[str] = None, + custom_data: Optional[List[str]] = None, +): + df_agg = data_frame.groupby(locations).agg({color: "count"}).reset_index() + + fig = px.choropleth( + data_frame=df_agg, + locations=locations, + color=color, + color_continuous_scale=[ + "#ded6d8", + "#f3bdcb", + "#f7a9be", + "#f894b1", + "#f780a3", + "#f46b94", + "#ee517f", + "#e94777", + "#e43d70", + "#df3168", + "#d92460", + "#d41159", + ], + scope="usa", + locationmode="USA-states", + title=title, + custom_data=custom_data, + ) + + fig.update_coloraxes(colorbar={"thickness": 10, "title": {"side": "right"}}) + return fig + + +# TABLE CONFIGURATIONS --------------------------------------------------------- +CELL_STYLE = { + "styleConditions": [ + { + "condition": "params.value == 'Closed with explanation'", + "style": {"backgroundColor": "#1a85ff"}, + }, + { + "condition": "params.value == 'Closed with monetary relief'", + "style": {"backgroundColor": "#d41159"}, + }, + { + "condition": "params.value == 'Closed with non-monetary relief'", + "style": {"backgroundColor": "#adbedc"}, + }, + { + "condition": "params.value == 'Closed without relief'", + "style": {"backgroundColor": "#7ea1ee"}, + }, + { + "condition": "params.value == 'Closed with relief'", + "style": {"backgroundColor": "#df658c"}, + }, + { + "condition": "params.value == 'Closed'", + "style": {"backgroundColor": "#1a85ff"}, + }, + ] +} + + +COLUMN_DEFS = [ + {"field": "Complaint ID", "cellDataType": "text", "headerName": "ID", "flex": 3}, + {"field": "Date Received", "cellDataType": "text", "headerName": "Date", "flex": 3}, + {"field": "Channel", "cellDataType": "text", "flex": 3}, + {"field": "State", "cellDataType": "text", "flex": 2}, + {"field": "Product", "cellDataType": "text", "flex": 5}, + {"field": "Issue", "cellDataType": "text", "flex": 5}, + { + "field": "Company response - detailed", + "cellDataType": "text", + "cellStyle": CELL_STYLE, + "headerName": "Company response", + "flex": 6, + }, + {"field": "Timely response?", "cellRenderer": "markdown", "headerName": "On time?", "flex": 3}, +] diff --git a/vizro-core/examples/kpi/utils/_helper.py b/vizro-core/examples/kpi/utils/_helper.py new file mode 100644 index 000000000..8e23bee67 --- /dev/null +++ b/vizro-core/examples/kpi/utils/_helper.py @@ -0,0 +1,55 @@ +"""Contains helper functions and variables.""" + +import numpy as np +import pandas as pd + +REGION_MAPPING = { + **dict.fromkeys(["CT", "ME", "MA", "NH", "RI", "VT", "NJ", "NY", "PA"], "North East"), + **dict.fromkeys( + ["IL", "IN", "MI", "OH", "WI", "IA", "KS", "MN", "MO", "NE", "ND", "SD"], "Mid West" # codespell:ignore + ), + **dict.fromkeys( + ["DE", "FL", "GA", "MD", "NC", "SC", "VA", "WV", "DC", "AL", "KY", "MS", "TN", "AR", "LA"], "South" + ), + **dict.fromkeys(["AZ", "NM", "OK", "TX"], "South West"), + **dict.fromkeys(["CO", "ID", "MT", "NV", "UT", "WY", "AK", "CA", "HI", "OR", "WA"], "West"), + **dict.fromkeys(["UM", "PR", "AP", "VI", "AE", "AS", "GU", "FM", "PW", "MP"], "Other"), +} + + +def fill_na_with_random(df, column): + """Fills missing values in a column with random values from the same column.""" + non_na_values = df[column].dropna().values + df[column] = df[column].apply(lambda x: np.random.choice(non_na_values) if pd.isna(x) else x) + return df[column] + + +def clean_data_and_add_columns(data: pd.DataFrame): + """Tidies the original data set, adds new columns, and changes cell values for the purpose of this example.""" + data = data.rename( + columns={ + "Date Sumbited": "Date Submitted", + "Submitted via": "Channel", + "Company response to consumer": "Company response - detailed", + }, + ) + + # Clean cell values and/or assign different values for the purpose of this example + data["Company response - detailed"] = data["Company response - detailed"].replace("Closed", "Closed without relief") + data["State"] = data["State"].replace("UNITED STATES MINOR OUTLYING ISLANDS", "UM") + data["State"] = fill_na_with_random(data, "State") + + # Convert to correct data type + data["Date Received"] = pd.to_datetime(data["Date Received"], format="%m/%d/%y").dt.strftime("%Y-%m-%d") + data["Date Submitted"] = pd.to_datetime(data["Date Submitted"], format="%m/%d/%y").dt.strftime("%Y-%m-%d") + + # Create additional columns + data["Year-Month Received"] = pd.to_datetime(data["Date Received"], format="%Y-%m-%d").dt.strftime("%Y-%m") + data["Region"] = data["State"].map(REGION_MAPPING) + data["Company response"] = np.where( + data["Company response - detailed"].str.contains("Closed"), "Closed", data["Company response - detailed"] + ) + data["Company response - Closed"] = np.where( + data["Company response - detailed"].str.contains("Closed"), data["Company response - detailed"], "Not closed" + ) + return data diff --git a/vizro-core/pyproject.toml b/vizro-core/pyproject.toml index 24a31da4d..7a7aa78d2 100644 --- a/vizro-core/pyproject.toml +++ b/vizro-core/pyproject.toml @@ -15,7 +15,6 @@ classifiers = [ "Programming Language :: Python :: 3.12" ] dependencies = [ - # Temporarily set an upper limit on dash: https://github.com/plotly/dash/issues/2778 "dash>=2.17.0", # 2.17.0 needed for new features on loading spinner "dash_bootstrap_components", "dash-ag-grid>=31.0.0", @@ -82,4 +81,4 @@ filterwarnings = [ "ignore:When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group:FutureWarning" ] norecursedirs = ["tests/tests_utils", "tests/js"] -pythonpath = ["tests/tests_utils"] +pythonpath = ["tests/tests_utils", "examples/kpi"] diff --git a/vizro-core/tests/integration/test_examples.py b/vizro-core/tests/integration/test_examples.py index e3bc32ac8..ab9876280 100644 --- a/vizro-core/tests/integration/test_examples.py +++ b/vizro-core/tests/integration/test_examples.py @@ -47,9 +47,10 @@ def dashboard(request, monkeypatch): [ (examples_path / "_dev", ""), (examples_path / "features", ""), - # (examples_path / "demo", ""), - # (examples_path / "_dev", "yaml_version"), - # (examples_path / "features", "yaml_version"), + (examples_path / "demo", ""), + (examples_path / "kpi", ""), + (examples_path / "_dev", "yaml_version"), + (examples_path / "features", "yaml_version"), ], ) def test_dashboard(dash_duo, example_path, dashboard, version): From 39f3255dbbd39d8b8254b1719fe738f6f4a6cea1 Mon Sep 17 00:00:00 2001 From: Li Nguyen <90609403+huong-li-nguyen@users.noreply.github.com> Date: Tue, 4 Jun 2024 15:11:15 +0200 Subject: [PATCH 2/3] [Tidy] Turn off `pagination` by default in `dash_ag_grid` (#512) --- ...li_nguyen_remove_pagination_from_aggrid.md | 47 +++ .../user_guides/table/aggrid-pagination.png | Bin 0 -> 342735 bytes .../docs/assets/user_guides/table/aggrid.png | Bin 193800 -> 329792 bytes vizro-core/docs/pages/user-guides/table.md | 55 ++- vizro-core/examples/_dev/app.py | 27 +- .../examples/_dev/yaml_version/dashboard.yaml | 21 +- vizro-core/examples/demo/app.py | 20 +- .../examples/demo/jupyter_version/app.ipynb | 385 ++++++++---------- vizro-core/examples/features/app.py | 3 +- .../features/yaml_version/dashboard.yaml | 2 + .../vizro/_themes/_templates/common_values.py | 3 +- .../src/vizro/models/_components/ag_grid.py | 2 +- .../src/vizro/models/_components/table.py | 2 +- vizro-core/src/vizro/tables/_dash_ag_grid.py | 1 - vizro-core/tests/unit/vizro/conftest.py | 2 +- .../vizro/models/_components/test_ag_grid.py | 4 +- 16 files changed, 307 insertions(+), 267 deletions(-) create mode 100644 vizro-core/changelog.d/20240603_170316_huong_li_nguyen_remove_pagination_from_aggrid.md create mode 100644 vizro-core/docs/assets/user_guides/table/aggrid-pagination.png diff --git a/vizro-core/changelog.d/20240603_170316_huong_li_nguyen_remove_pagination_from_aggrid.md b/vizro-core/changelog.d/20240603_170316_huong_li_nguyen_remove_pagination_from_aggrid.md new file mode 100644 index 000000000..dd06bf580 --- /dev/null +++ b/vizro-core/changelog.d/20240603_170316_huong_li_nguyen_remove_pagination_from_aggrid.md @@ -0,0 +1,47 @@ + + + + + + +### Changed + +- Turn off `pagination` by default in `dash_ag_grid`. 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zTI_)*$<yxxY2TKPLUhq<{6upSjmRUi#0%|7S1#Uput+p>6(z X*%q+A*7K1)z|TO}_*&`JJ5T=)e;7Cz diff --git a/vizro-core/docs/pages/user-guides/table.md b/vizro-core/docs/pages/user-guides/table.md index 122305743..de7e783e8 100755 --- a/vizro-core/docs/pages/user-guides/table.md +++ b/vizro-core/docs/pages/user-guides/table.md @@ -52,11 +52,8 @@ Sometimes a parameter may not work because it requires a callback to function. I df = px.data.gapminder() page = vm.Page( - title="Example of a Dash AG Grid", - components=[ - vm.AgGrid(title="Dash AG Grid", figure=dash_ag_grid(data_frame=df)), - ], - controls=[vm.Filter(column="continent")], + title="Default Dash AG Grid", + components=[vm.AgGrid(figure=dash_ag_grid(data_frame=df))] ) dashboard = vm.Dashboard(pages=[page]) @@ -71,18 +68,56 @@ Sometimes a parameter may not work because it requires a callback to function. I - figure: _target_: dash_ag_grid data_frame: gapminder - title: Dash AG Grid type: ag_grid - controls: - - column: continent - type: filter - title: Example of a Dash AG Grid + title: Default Dash AG Grid ``` === "Result" [![AGGrid]][AGGrid] [AGGrid]: ../../assets/user_guides/table/aggrid.png +### Enable pagination +Pagination is a visual alternative to using vertical scroll. It can also improve loading time if you have many rows. +You can turn it on by setting `dashGridOptions={"pagination": True}`. + +!!! example "Basic Dash AG Grid" + + === "app.py" + ```py + import vizro.models as vm + import vizro.plotly.express as px + from vizro import Vizro + from vizro.tables import dash_ag_grid + + df = px.data.gapminder() + + page = vm.Page( + title="Dash AG Grid with pagination", + components=[vm.AgGrid(figure=dash_ag_grid(data_frame=df, dashGridOptions={"pagination": True}))] + ) + dashboard = vm.Dashboard(pages=[page]) + + Vizro().build(dashboard).run() + ``` + === "app.yaml" + ```yaml + # Still requires a .py to add data to the data manager and parse YAML configuration + # See from_yaml example + pages: + - components: + - figure: + _target_: dash_ag_grid + data_frame: gapminder + dashGridOptions: + pagination: true + type: ag_grid + title: Dash AG Grid with pagination + ``` + === "Result" + [![AGGrid]][AGGrid] + + [AGGrid]: ../../assets/user_guides/table/aggrid-pagination.png + ### Formatting columns #### Numbers diff --git a/vizro-core/examples/_dev/app.py b/vizro-core/examples/_dev/app.py index 623e86254..aab693901 100644 --- a/vizro-core/examples/_dev/app.py +++ b/vizro-core/examples/_dev/app.py @@ -3,24 +3,29 @@ import vizro.models as vm import vizro.plotly.express as px from vizro import Vizro +from vizro.tables import dash_ag_grid, dash_data_table -df = px.data.iris() +df = px.data.gapminder() -page = vm.Page( - title="My first dashboard", +page_one = vm.Page( + title="Dash AG Grid", + layout=vm.Layout(grid=[[0, 1]], col_gap="0px"), components=[ - # components consist of vm.Graph or vm.Table - vm.Graph(id="scatter_chart", figure=px.scatter(df, x="sepal_length", y="petal_width", color="species")), - vm.Graph(id="hist_chart", figure=px.histogram(df, x="sepal_width", color="species")), + vm.AgGrid(title="Equal Title One", figure=dash_ag_grid(data_frame=df)), + vm.Graph(figure=px.box(df, x="continent", y="lifeExp", title="Equal Title One")), ], - controls=[ - # controls consist of vm.Filter or vm.Parameter - # filter the dataframe (df) of the target graph (histogram), by column sepal_width, using the dropdown - vm.Filter(column="sepal_width", selector=vm.Dropdown(), targets=["hist_chart"]), +) + +page_two = vm.Page( + title="Dash Data Table", + layout=vm.Layout(grid=[[0, 1]]), + components=[ + vm.Table(title="Equal Title One", figure=dash_data_table(data_frame=df)), + vm.Graph(figure=px.box(df, x="continent", y="lifeExp", title="Equal Title One")), ], ) +dashboard = vm.Dashboard(pages=[page_one, page_two]) -dashboard = vm.Dashboard(pages=[page]) if __name__ == "__main__": Vizro().build(dashboard).run() diff --git a/vizro-core/examples/_dev/yaml_version/dashboard.yaml b/vizro-core/examples/_dev/yaml_version/dashboard.yaml index 053cf571c..cd3cb3923 100644 --- a/vizro-core/examples/_dev/yaml_version/dashboard.yaml +++ b/vizro-core/examples/_dev/yaml_version/dashboard.yaml @@ -3,17 +3,10 @@ pages: - components: - figure: - _target_: line - data_frame: df_stocks_long - x: date - y: value - color: stocks - type: graph - controls: - - column: stocks - type: filter - - column: value - type: filter - - column: date - type: filter - title: My first page + _target_: dash_ag_grid + data_frame: gapminder + dashGridOptions: + pagination: true + title: Dash AG Grid + type: ag_grid + title: Example of a Dash AG Grid diff --git a/vizro-core/examples/demo/app.py b/vizro-core/examples/demo/app.py index de07617b9..768f2568f 100644 --- a/vizro-core/examples/demo/app.py +++ b/vizro-core/examples/demo/app.py @@ -300,12 +300,6 @@ def create_relation_analysis(): options=["lifeExp", "gdpPercap", "pop"], multi=False, value="gdpPercap", title="Choose x-axis" ), ), - vm.Parameter( - targets=["scatter_relation.y"], - selector=vm.Dropdown( - options=["lifeExp", "gdpPercap", "pop"], multi=False, value="lifeExp", title="Choose y-axis" - ), - ), vm.Parameter( targets=["scatter_relation.size"], selector=vm.Dropdown( @@ -424,12 +418,12 @@ def create_benchmark_analysis(): ] } columnsDefs = [ - {"field": "country"}, - {"field": "continent"}, - {"field": "year"}, - {"field": "lifeExp", "cellDataType": "numeric"}, - {"field": "gdpPercap", "cellDataType": "dollar", "cellStyle": cellStyle}, - {"field": "pop"}, + {"field": "country", "flex": 3}, + {"field": "continent", "flex": 3}, + {"field": "year", "flex": 2}, + {"field": "lifeExp", "cellDataType": "numeric", "flex": 3}, + {"field": "gdpPercap", "cellDataType": "dollar", "cellStyle": cellStyle, "flex": 3}, + {"field": "pop", "flex": 3}, ] page_country = vm.Page( @@ -439,7 +433,7 @@ def create_benchmark_analysis(): components=[ vm.AgGrid( title="Click on a cell in country column:", - figure=dash_ag_grid(data_frame=gapminder, columnDefs=columnsDefs), + figure=dash_ag_grid(data_frame=gapminder, columnDefs=columnsDefs, dashGridOptions={"pagination": True}), actions=[vm.Action(function=filter_interaction(targets=["line_country"]))], ), vm.Graph( diff --git a/vizro-core/examples/demo/jupyter_version/app.ipynb b/vizro-core/examples/demo/jupyter_version/app.ipynb index 2ff5079b5..1b398d741 100644 --- a/vizro-core/examples/demo/jupyter_version/app.ipynb +++ b/vizro-core/examples/demo/jupyter_version/app.ipynb @@ -4,13 +4,15 @@ "cell_type": "code", "metadata": {}, "source": [ - "import pandas as pd\n", + "from typing import Optional\n", "\n", + "import pandas as pd\n", "import vizro.models as vm\n", "import vizro.plotly.express as px\n", "from vizro import Vizro\n", "from vizro.actions import export_data, filter_interaction\n", - "from vizro.tables import dash_data_table" + "from vizro.models.types import capture\n", + "from vizro.tables import dash_ag_grid" ], "outputs": [], "execution_count": null @@ -25,6 +27,7 @@ " .agg({\"lifeExp\": \"mean\", \"pop\": \"mean\", \"gdpPercap\": \"mean\"})\n", " .reset_index()\n", ")\n", + "gapminder_mean_2007 = gapminder_mean.query(\"year == 2007\")\n", "\n", "gapminder_transformed = gapminder.copy()\n", "gapminder_transformed[\"lifeExp\"] = gapminder.groupby(by=[\"continent\", \"year\"])[\"lifeExp\"].transform(\"mean\")\n", @@ -32,7 +35,7 @@ "gapminder_transformed[\"pop\"] = gapminder.groupby(by=[\"continent\", \"year\"])[\"pop\"].transform(\"sum\")\n", "gapminder_concat = pd.concat(\n", " [gapminder_transformed.assign(color=\"Continent Avg.\"), gapminder.assign(color=\"Country\")], ignore_index=True\n", - ")" + ")\n" ], "outputs": [], "execution_count": null @@ -41,6 +44,130 @@ "cell_type": "code", "metadata": {}, "source": [ + "@capture(\"graph\")\n", + "def variable_map(data_frame: pd.DataFrame = None, color: Optional[str] = None):\n", + " \"\"\"Custom choropleth figure that needs post update calls.\"\"\"\n", + " fig = px.choropleth(\n", + " data_frame,\n", + " locations=\"iso_alpha\",\n", + " color=color,\n", + " hover_name=\"country\",\n", + " animation_frame=\"year\",\n", + " labels={\n", + " \"year\": \"year\",\n", + " \"lifeExp\": \"Life expectancy\",\n", + " \"pop\": \"Population\",\n", + " \"gdpPercap\": \"GDP per capita\",\n", + " },\n", + " title=\"Global development over time\",\n", + " )\n", + " fig.update_layout(showlegend=False)\n", + " fig.update_yaxes(automargin=True)\n", + " fig.update_xaxes(automargin=True)\n", + " fig.update_coloraxes(colorbar={\"thickness\": 10, \"title\": {\"side\": \"right\"}})\n", + " return fig\n", + "\n", + "\n", + "@capture(\"graph\")\n", + "def variable_boxplot(y: str, data_frame: pd.DataFrame = None):\n", + " \"\"\"Custom boxplot figure that needs post update calls.\"\"\"\n", + " fig = px.box(\n", + " data_frame,\n", + " x=\"continent\",\n", + " y=y,\n", + " color=\"continent\",\n", + " labels={\n", + " \"year\": \"year\",\n", + " \"lifeExp\": \"Life expectancy\",\n", + " \"pop\": \"Population\",\n", + " \"gdpPercap\": \"GDP per capita\",\n", + " \"continent\": \"Continent\",\n", + " },\n", + " title=\"Distribution per continent\",\n", + " color_discrete_map={\n", + " \"Africa\": \"#00b4ff\",\n", + " \"Americas\": \"#ff9222\",\n", + " \"Asia\": \"#3949ab\",\n", + " \"Europe\": \"#ff5267\",\n", + " \"Oceania\": \"#08bdba\",\n", + " },\n", + " )\n", + " fig.update_layout(showlegend=False)\n", + " fig.update_yaxes(automargin=True)\n", + " fig.update_xaxes(automargin=True)\n", + " return fig\n", + "\n", + "\n", + "@capture(\"graph\")\n", + "def variable_bar(x: str, data_frame: pd.DataFrame = None):\n", + " \"\"\"Custom bar figure that needs post update calls.\"\"\"\n", + " fig = px.bar(\n", + " data_frame,\n", + " x=x,\n", + " y=\"continent\",\n", + " orientation=\"h\",\n", + " title=\"Continent comparison (2007)\",\n", + " labels={\n", + " \"year\": \"year\",\n", + " \"continent\": \"Continent\",\n", + " \"lifeExp\": \"Life expectancy\",\n", + " \"pop\": \"Population\",\n", + " \"gdpPercap\": \"GDP per capita\",\n", + " },\n", + " color=\"continent\",\n", + " color_discrete_map={\n", + " \"Africa\": \"#00b4ff\",\n", + " \"Americas\": \"#ff9222\",\n", + " \"Asia\": \"#3949ab\",\n", + " \"Europe\": \"#ff5267\",\n", + " \"Oceania\": \"#08bdba\",\n", + " },\n", + " )\n", + "\n", + " fig.update_layout(showlegend=False)\n", + " fig.update_yaxes(automargin=True)\n", + " fig.update_xaxes(automargin=True)\n", + " return fig\n", + "\n", + "\n", + "@capture(\"graph\")\n", + "def scatter_relation(x: str, y: str, size: str, data_frame: pd.DataFrame = None):\n", + " \"\"\"Custom scatter figure that needs post update calls.\"\"\"\n", + " fig = px.scatter(\n", + " data_frame,\n", + " x=x,\n", + " y=y,\n", + " animation_frame=\"year\",\n", + " animation_group=\"country\",\n", + " size=size,\n", + " size_max=60,\n", + " color=\"continent\",\n", + " hover_name=\"country\",\n", + " labels={\n", + " \"gdpPercap\": \"GDP per capita\",\n", + " \"pop\": \"Population\",\n", + " \"lifeExp\": \"Life expectancy\",\n", + " \"continent\": \"Continent\",\n", + " },\n", + " range_y=[25, 90],\n", + " color_discrete_map={\n", + " \"Africa\": \"#00b4ff\",\n", + " \"Americas\": \"#ff9222\",\n", + " \"Asia\": \"#3949ab\",\n", + " \"Europe\": \"#ff5267\",\n", + " \"Oceania\": \"#08bdba\",\n", + " },\n", + " )\n", + "\n", + " fig.update_layout(\n", + " title=\"Relationship over time\",\n", + " legend={\"orientation\": \"v\", \"yanchor\": \"bottom\", \"y\": 0, \"xanchor\": \"right\", \"x\": 1},\n", + " )\n", + " fig.update_yaxes(automargin=True)\n", + " fig.update_xaxes(automargin=True)\n", + " return fig\n", + "\n", + "\n", "def create_variable_analysis():\n", " \"\"\"Function returns a page with gapminder data to do variable analysis.\"\"\"\n", " page_variable = vm.Page(\n", @@ -75,20 +202,7 @@ " ),\n", " vm.Graph(\n", " id=\"variable_map\",\n", - " figure=px.choropleth(\n", - " gapminder,\n", - " locations=\"iso_alpha\",\n", - " color=\"lifeExp\",\n", - " hover_name=\"country\",\n", - " animation_frame=\"year\",\n", - " labels={\n", - " \"year\": \"year\",\n", - " \"lifeExp\": \"Life expectancy\",\n", - " \"pop\": \"Population\",\n", - " \"gdpPercap\": \"GDP per capita\",\n", - " },\n", - " title=\"Global development over time\",\n", - " ),\n", + " figure=variable_map(data_frame=gapminder, color=\"lifeExp\"),\n", " ),\n", " vm.Card(\n", " text=\"\"\"\n", @@ -104,27 +218,7 @@ " ),\n", " vm.Graph(\n", " id=\"variable_boxplot\",\n", - " figure=px.box(\n", - " gapminder,\n", - " x=\"continent\",\n", - " y=\"lifeExp\",\n", - " color=\"continent\",\n", - " labels={\n", - " \"year\": \"year\",\n", - " \"lifeExp\": \"Life expectancy\",\n", - " \"pop\": \"Population\",\n", - " \"gdpPercap\": \"GDP per capita\",\n", - " \"continent\": \"Continent\",\n", - " },\n", - " title=\"Distribution per continent\",\n", - " color_discrete_map={\n", - " \"Africa\": \"#00b4ff\",\n", - " \"Americas\": \"#ff9222\",\n", - " \"Asia\": \"#3949ab\",\n", - " \"Europe\": \"#ff5267\",\n", - " \"Oceania\": \"#08bdba\",\n", - " },\n", - " ),\n", + " figure=variable_boxplot(data_frame=gapminder, y=\"lifeExp\"),\n", " ),\n", " vm.Card(\n", " text=\"\"\"\n", @@ -147,7 +241,7 @@ " y=\"lifeExp\",\n", " x=\"year\",\n", " color=\"continent\",\n", - " title=\"Development between 1952 and 2007\",\n", + " title=\"Avg. Development (1952 - 2007)\",\n", " labels={\n", " \"year\": \"Year\",\n", " \"lifeExp\": \"Life expectancy\",\n", @@ -178,28 +272,7 @@ " ),\n", " vm.Graph(\n", " id=\"variable_bar\",\n", - " figure=px.bar(\n", - " gapminder_mean.query(\"year == 2007\"),\n", - " x=\"lifeExp\",\n", - " y=\"continent\",\n", - " orientation=\"h\",\n", - " title=\"Comparison of average metric for 2007\",\n", - " labels={\n", - " \"year\": \"year\",\n", - " \"continent\": \"Continent\",\n", - " \"lifeExp\": \"Life expectancy\",\n", - " \"pop\": \"Population\",\n", - " \"gdpPercap\": \"GDP per capita\",\n", - " },\n", - " color=\"continent\",\n", - " color_discrete_map={\n", - " \"Africa\": \"#00b4ff\",\n", - " \"Americas\": \"#ff9222\",\n", - " \"Asia\": \"#3949ab\",\n", - " \"Europe\": \"#ff5267\",\n", - " \"Oceania\": \"#08bdba\",\n", - " },\n", - " ),\n", + " figure=variable_bar(data_frame=gapminder_mean_2007, x=\"lifeExp\"),\n", " ),\n", " ],\n", " controls=[\n", @@ -218,7 +291,7 @@ " title=\"Relationship Analysis\",\n", " description=\"Investigating the interconnection between population, GDP per capita and life expectancy\",\n", " layout=vm.Layout(\n", - " grid=[[0, 0, 0, 0, 1]] + [[2, 2, 3, 3, 3]] * 4 + [[4, 4, 4, 4, 4]] * 5,\n", + " grid=[[0, 0, 0, 0, 0]] + [[1, 1, 1, 1, 1]] * 4,\n", " row_min_height=\"100px\",\n", " row_gap=\"24px\",\n", " ),\n", @@ -232,107 +305,20 @@ " as healthcare quality and social policies also play significant roles.\n", " \"\"\"\n", " ),\n", - " vm.Card(\n", - " text=\"\"\"\n", - " #### Last updated\n", - " November, 2023\n", - " \"\"\"\n", - " ),\n", - " vm.Graph(\n", - " id=\"bar_relation_2007\",\n", - " figure=px.box(\n", - " gapminder.query(\"year == 2007\"),\n", - " x=\"continent\",\n", - " y=\"lifeExp\",\n", - " color=\"continent\",\n", - " hover_name=\"continent\",\n", - " title=\"Relationship in 2007\",\n", - " labels={\n", - " \"gdpPercap\": \"GDP per capita\",\n", - " \"pop\": \"Population\",\n", - " \"lifeExp\": \"Life expectancy\",\n", - " \"continent\": \"Continent\",\n", - " },\n", - " color_discrete_map={\n", - " \"Africa\": \"#00b4ff\",\n", - " \"Americas\": \"#ff9222\",\n", - " \"Asia\": \"#3949ab\",\n", - " \"Europe\": \"#ff5267\",\n", - " \"Oceania\": \"#08bdba\",\n", - " },\n", - " custom_data=[\"continent\"],\n", - " ),\n", - " actions=[vm.Action(function=filter_interaction(targets=[\"scatter_relation_2007\"]))],\n", - " ),\n", - " vm.Graph(\n", - " id=\"scatter_relation_2007\",\n", - " figure=px.scatter(\n", - " gapminder.query(\"year == 2007\"),\n", - " x=\"gdpPercap\",\n", - " y=\"lifeExp\",\n", - " size=\"pop\",\n", - " color=\"continent\",\n", - " hover_name=\"country\",\n", - " size_max=60,\n", - " labels={\n", - " \"gdpPercap\": \"GDP per capita\",\n", - " \"pop\": \"Population\",\n", - " \"lifeExp\": \"Life expectancy\",\n", - " \"continent\": \"Continent\",\n", - " },\n", - " color_discrete_map={\n", - " \"Africa\": \"#00b4ff\",\n", - " \"Americas\": \"#ff9222\",\n", - " \"Asia\": \"#3949ab\",\n", - " \"Europe\": \"#ff5267\",\n", - " \"Oceania\": \"#08bdba\",\n", - " },\n", - " ),\n", - " ),\n", " vm.Graph(\n", " id=\"scatter_relation\",\n", - " figure=px.scatter(\n", - " gapminder,\n", - " x=\"gdpPercap\",\n", - " y=\"lifeExp\",\n", - " animation_frame=\"year\",\n", - " animation_group=\"country\",\n", - " size=\"pop\",\n", - " color=\"continent\",\n", - " hover_name=\"country\",\n", - " facet_col=\"continent\",\n", - " labels={\n", - " \"gdpPercap\": \"GDP per capita\",\n", - " \"pop\": \"Population\",\n", - " \"lifeExp\": \"Life expectancy\",\n", - " \"continent\": \"Continent\",\n", - " },\n", - " range_y=[25, 90],\n", - " color_discrete_map={\n", - " \"Africa\": \"#00b4ff\",\n", - " \"Americas\": \"#ff9222\",\n", - " \"Asia\": \"#3949ab\",\n", - " \"Europe\": \"#ff5267\",\n", - " \"Oceania\": \"#08bdba\",\n", - " },\n", - " ),\n", + " figure=scatter_relation(data_frame=gapminder, x=\"gdpPercap\", y=\"lifeExp\", size=\"pop\"),\n", " ),\n", " ],\n", " controls=[\n", " vm.Parameter(\n", - " targets=[\"scatter_relation_2007.x\", \"scatter_relation.x\"],\n", + " targets=[\"scatter_relation.x\"],\n", " selector=vm.Dropdown(\n", " options=[\"lifeExp\", \"gdpPercap\", \"pop\"], multi=False, value=\"gdpPercap\", title=\"Choose x-axis\"\n", " ),\n", " ),\n", " vm.Parameter(\n", - " targets=[\"scatter_relation_2007.y\", \"scatter_relation.y\", \"bar_relation_2007.y\"],\n", - " selector=vm.Dropdown(\n", - " options=[\"lifeExp\", \"gdpPercap\", \"pop\"], multi=False, value=\"lifeExp\", title=\"Choose y-axis\"\n", - " ),\n", - " ),\n", - " vm.Parameter(\n", - " targets=[\"scatter_relation_2007.size\", \"scatter_relation.size\"],\n", + " targets=[\"scatter_relation.size\"],\n", " selector=vm.Dropdown(\n", " options=[\"lifeExp\", \"gdpPercap\", \"pop\"], multi=False, value=\"pop\", title=\"Choose bubble size\"\n", " ),\n", @@ -361,7 +347,7 @@ " However, Africa has shown notable improvements in life expectancy over time, reaching 55 years in\n", " 2007. Despite these economic disparities, Africa's population has been steadily increasing,\n", " reflecting its significant potential for development.\n", - " \"\"\",\n", + " \"\"\"\n", " ),\n", " vm.Card(\n", " text=\"\"\"\n", @@ -376,7 +362,7 @@ " maintained similar levels to Asia, reflecting its economic significance. With North America\n", " generally reporting higher life expectancy compared to South America, America remains a region of\n", " opportunities and challenges.\n", - " \"\"\",\n", + " \"\"\"\n", " ),\n", " vm.Card(\n", " text=\"\"\"\n", @@ -390,7 +376,7 @@ " Despite facing various socioeconomic challenges, Asia's increasing life expectancy from 46 years\n", " to 70 over the years reflects advancements in healthcare and overall well-being, making it a vital\n", " region driving global progress and development.\n", - " \"\"\",\n", + " \"\"\"\n", " ),\n", " vm.Card(\n", " text=\"\"\"\n", @@ -405,7 +391,7 @@ " quality of life, Europe continues to be a leading force in the global economy. Between 1952 and\n", " 2007, Europe's population experienced moderate growth, with a factor of approximately 1.5,\n", " notably lower compared to other continents like Asia and America.\n", - " \"\"\",\n", + " \"\"\"\n", " ),\n", " vm.Card(\n", " text=\"\"\"\n", @@ -418,7 +404,7 @@ "\n", " Despite a relatively smaller population size, Oceania's strong economic growth has contributed\n", " to improved living standards and overall well-being of its population.\n", - " \"\"\",\n", + " \"\"\"\n", " ),\n", " ],\n", " )\n", @@ -427,14 +413,34 @@ "\n", "def create_benchmark_analysis():\n", " \"\"\"Function returns a page to perform analysis on country level.\"\"\"\n", - " # Apply formatting to table columns\n", - " columns = [\n", - " {\"id\": \"country\", \"name\": \"country\"},\n", - " {\"id\": \"continent\", \"name\": \"continent\"},\n", - " {\"id\": \"year\", \"name\": \"year\"},\n", - " {\"id\": \"lifeExp\", \"name\": \"lifeExp\", \"type\": \"numeric\", \"format\": {\"specifier\": \",.1f\"}},\n", - " {\"id\": \"gdpPercap\", \"name\": \"gdpPercap\", \"type\": \"numeric\", \"format\": {\"specifier\": \"$,.2f\"}},\n", - " {\"id\": \"pop\", \"name\": \"pop\", \"type\": \"numeric\", \"format\": {\"specifier\": \",d\"}},\n", + " # Apply formatting to grid columns\n", + " cellStyle = {\n", + " \"styleConditions\": [\n", + " {\n", + " \"condition\": \"params.value < 1045\",\n", + " \"style\": {\"backgroundColor\": \"#ff9222\"},\n", + " },\n", + " {\n", + " \"condition\": \"params.value >= 1045 && params.value <= 4095\",\n", + " \"style\": {\"backgroundColor\": \"#de9e75\"},\n", + " },\n", + " {\n", + " \"condition\": \"params.value > 4095 && params.value <= 12695\",\n", + " \"style\": {\"backgroundColor\": \"#aaa9ba\"},\n", + " },\n", + " {\n", + " \"condition\": \"params.value > 12695\",\n", + " \"style\": {\"backgroundColor\": \"#00b4ff\"},\n", + " },\n", + " ]\n", + " }\n", + " columnsDefs = [\n", + " {\"field\": \"country\", \"flex\": 3},\n", + " {\"field\": \"continent\", \"flex\": 3},\n", + " {\"field\": \"year\", \"flex\": 2},\n", + " {\"field\": \"lifeExp\", \"cellDataType\": \"numeric\", \"flex\": 3},\n", + " {\"field\": \"gdpPercap\", \"cellDataType\": \"dollar\", \"cellStyle\": cellStyle, \"flex\": 3},\n", + " {\"field\": \"pop\", \"flex\": 3},\n", " ]\n", "\n", " page_country = vm.Page(\n", @@ -442,39 +448,9 @@ " description=\"Discovering how the metrics differ for each country and export data for further investigation\",\n", " layout=vm.Layout(grid=[[0, 1]] * 5 + [[2, -1]]),\n", " components=[\n", - " vm.Table(\n", + " vm.AgGrid(\n", " title=\"Click on a cell in country column:\",\n", - " figure=dash_data_table(\n", - " data_frame=gapminder,\n", - " columns=columns,\n", - " page_size=30,\n", - " style_data_conditional=[\n", - " {\n", - " \"if\": {\"filter_query\": \"{gdpPercap} < 1045\", \"column_id\": \"gdpPercap\"},\n", - " \"backgroundColor\": \"#ff9222\",\n", - " },\n", - " {\n", - " \"if\": {\n", - " \"filter_query\": \"{gdpPercap} >= 1045 && {gdpPercap} <= 4095\",\n", - " \"column_id\": \"gdpPercap\",\n", - " },\n", - " \"backgroundColor\": \"#de9e75\",\n", - " },\n", - " {\n", - " \"if\": {\n", - " \"filter_query\": \"{gdpPercap} > 4095 && {gdpPercap} <= 12695\",\n", - " \"column_id\": \"gdpPercap\",\n", - " },\n", - " \"backgroundColor\": \"#aaa9ba\",\n", - " },\n", - " {\n", - " \"if\": {\"filter_query\": \"{gdpPercap} > 12695\", \"column_id\": \"gdpPercap\"},\n", - " \"backgroundColor\": \"#00b4ff\",\n", - " },\n", - " ],\n", - " sort_action=\"native\",\n", - " style_cell={\"textAlign\": \"left\"},\n", - " ),\n", + " figure=dash_ag_grid(data_frame=gapminder, columnDefs=columnsDefs, dashGridOptions={\"pagination\": True}),\n", " actions=[vm.Action(function=filter_interaction(targets=[\"line_country\"]))],\n", " ),\n", " vm.Graph(\n", @@ -491,16 +467,7 @@ " hover_name=\"country\",\n", " ),\n", " ),\n", - " vm.Button(\n", - " text=\"Export data\",\n", - " actions=[\n", - " vm.Action(\n", - " function=export_data(\n", - " targets=[\"line_country\"],\n", - " )\n", - " ),\n", - " ],\n", - " ),\n", + " vm.Button(text=\"Export data\", actions=[vm.Action(function=export_data(targets=[\"line_country\"]))]),\n", " ],\n", " controls=[\n", " vm.Filter(column=\"continent\", selector=vm.Dropdown(value=\"Europe\", multi=False, title=\"Select continent\")),\n", @@ -595,7 +562,7 @@ " ),\n", " vm.NavLink(label=\"Summary\", pages=[\"Continent Summary\"], icon=\"Globe\"),\n", " ]\n", - " ),\n", + " )\n", " ),\n", ")" ], @@ -606,7 +573,7 @@ "cell_type": "code", "metadata": {}, "source": [ - "Vizro(assets_folder=\"../assets\").build(dashboard).run()\n" + "Vizro(assets_folder=\"../assets\").build(dashboard).run()" ], "outputs": [], "execution_count": null diff --git a/vizro-core/examples/features/app.py b/vizro-core/examples/features/app.py index ba7db671a..0155eb348 100644 --- a/vizro-core/examples/features/app.py +++ b/vizro-core/examples/features/app.py @@ -104,8 +104,7 @@ title="AG Grid", components=[ vm.AgGrid( - title="Dash AG Grid", - figure=dash_ag_grid(data_frame=gapminder_2007), + title="Dash AG Grid", figure=dash_ag_grid(data_frame=gapminder_2007, dashGridOptions={"pagination": True}) ) ], controls=[vm.Filter(column="continent")], diff --git a/vizro-core/examples/features/yaml_version/dashboard.yaml b/vizro-core/examples/features/yaml_version/dashboard.yaml index e91af21b1..2b25679da 100644 --- a/vizro-core/examples/features/yaml_version/dashboard.yaml +++ b/vizro-core/examples/features/yaml_version/dashboard.yaml @@ -76,6 +76,8 @@ pages: - figure: _target_: dash_ag_grid data_frame: gapminder_2007 + dashGridOptions: + pagination: true title: Dash AG Grid type: ag_grid controls: diff --git a/vizro-core/src/vizro/_themes/_templates/common_values.py b/vizro-core/src/vizro/_themes/_templates/common_values.py index a38e71fbe..c8b8e0cca 100644 --- a/vizro-core/src/vizro/_themes/_templates/common_values.py +++ b/vizro-core/src/vizro/_themes/_templates/common_values.py @@ -31,7 +31,8 @@ def create_template_common(): title_yanchor="top", title_pad_l=0, title_pad_r=0, - title_pad_t=6, + # Do not change title_pad_t without checking if graph and table title are still aligned when next to each other + title_pad_t=7, title_pad_b=0, showlegend=True, legend_font_family=primary_font, diff --git a/vizro-core/src/vizro/models/_components/ag_grid.py b/vizro-core/src/vizro/models/_components/ag_grid.py index d7ad57817..70368ccb7 100644 --- a/vizro-core/src/vizro/models/_components/ag_grid.py +++ b/vizro-core/src/vizro/models/_components/ag_grid.py @@ -106,7 +106,7 @@ def build(self): return dcc.Loading( children=[ - html.H3(self.title, className="table-title") if self.title else None, + html.H3(self.title) if self.title else None, # The pagination setting (and potentially others) of the initially built AgGrid (in the build method # here) must have the same setting as the object that is built by the on-page-load mechanism using # with the user settings and rendered finally. Otherwise the grid is not rendered correctly. diff --git a/vizro-core/src/vizro/models/_components/table.py b/vizro-core/src/vizro/models/_components/table.py index 9cf7cded6..5ddda5637 100644 --- a/vizro-core/src/vizro/models/_components/table.py +++ b/vizro-core/src/vizro/models/_components/table.py @@ -107,7 +107,7 @@ def build(self): return dcc.Loading( children=html.Div( children=[ - html.H3(self.title, className="table-title") if self.title else None, + html.H3(self.title) if self.title else None, # Please see vm.AgGrid build method as to why we are returning the call with the full data here # Most of the comments may not apply to the data table, but in order to be consistent, we are # handling the build method in the exact same way here diff --git a/vizro-core/src/vizro/tables/_dash_ag_grid.py b/vizro-core/src/vizro/tables/_dash_ag_grid.py index fe06cb9b0..cee45f99c 100644 --- a/vizro-core/src/vizro/tables/_dash_ag_grid.py +++ b/vizro-core/src/vizro/tables/_dash_ag_grid.py @@ -71,7 +71,6 @@ def dash_ag_grid(data_frame: pd.DataFrame, **kwargs) -> dag.AgGrid: "dashGridOptions": { "dataTypeDefinitions": _DATA_TYPE_DEFINITIONS, "animateRows": False, - "pagination": True, }, "style": {"height": "100%"}, } diff --git a/vizro-core/tests/unit/vizro/conftest.py b/vizro-core/tests/unit/vizro/conftest.py index f1b66035f..e7ab6168f 100644 --- a/vizro-core/tests/unit/vizro/conftest.py +++ b/vizro-core/tests/unit/vizro/conftest.py @@ -43,7 +43,7 @@ def ag_grid_with_id(gapminder): @pytest.fixture def ag_grid_with_id_and_conf(gapminder): - return dash_ag_grid(id="underlying_ag_grid_id", data_frame=gapminder, dashGridOptions={"pagination": True}) + return dash_ag_grid(id="underlying_ag_grid_id", data_frame=gapminder) @pytest.fixture diff --git a/vizro-core/tests/unit/vizro/models/_components/test_ag_grid.py b/vizro-core/tests/unit/vizro/models/_components/test_ag_grid.py index a1200b9cb..8865e6562 100644 --- a/vizro-core/tests/unit/vizro/models/_components/test_ag_grid.py +++ b/vizro-core/tests/unit/vizro/models/_components/test_ag_grid.py @@ -142,9 +142,7 @@ def test_ag_grid_build_with_underlying_id(self, ag_grid_with_id_and_conf, filter None, html.Div( id="text_ag_grid", - children=dash_ag_grid( - data_frame=gapminder, id="underlying_ag_grid_id", dashGridOptions={"pagination": True} - )(), + children=dash_ag_grid(data_frame=gapminder, id="underlying_ag_grid_id")(), className="table-container", ), ], From e893e36052d75dc342cebd48b73f593ae889c644 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Tue, 4 Jun 2024 15:33:34 +0200 Subject: [PATCH 3/3] [CI] pre-commit autoupdate (#513) Co-authored-by: huong-li-nguyen --- .pre-commit-config.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 5c1eec54f..35ff4cfab 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -49,7 +49,7 @@ repos: args: [--autofix] - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.4.3 + rev: v0.4.7 hooks: - id: ruff args: [--fix, --exit-non-zero-on-fix] @@ -79,7 +79,7 @@ repos: - pydantic==1.10.14 - repo: https://github.com/gitleaks/gitleaks - rev: v8.18.2 + rev: v8.18.3 hooks: - id: gitleaks name: gitleaks (protect)