Plotly template SSB design
Project description
Plotly template SSB design
A Python library that provides a custom Plotly template for visualising data with consistent styling and layout. The font and colours follow the SSB Design-system https://design.ssb.no
This is not an official template. The template is still under development.
Features
- Custom Plotly layout that can be easily applied to any figure.
- Includes predefined color schemes, fonts, and other styling options.
- Compatible with Plotly go chart types, including bar, line, scatter, and Plotly tables.
Requirements
- Python 3.x
- Plotly 5.x or higher
Installation
You can install Plotly template SSB design via pip from PyPI:
pip install ssb-plotly-template
Usage
After installing the library, you can easily apply the custom Plotly template to your figures. Here’s how to use it:
- Import both Plotly and ssb-plotly-template
- Create a Plotly figure. with the ssb-plotly-template template.
Example
Import libraries and create data:
import ssb_plotly_template
import plotly.graph_objects as go
import pandas as pd
data = {
"Category": ["A", "B", "C", "D"],
"Values": [10, 23, 15, 7],
"Values2": [13, 22, 25, 17],
"Values3": [23, 23, 28, 27],
"Dates": ["2024-10-01", "2024-10-05", "2024-10-10", "2024-10-15"],
}
df = pd.DataFrame(data)
df["Dates"] = pd.to_datetime(df["Dates"])
Create Plotly Go bar chart with ssb-plotly-template.
bar_chart = go.Figure(
data=[go.Bar(x=df["Category"], y=df["Values"])],
layout_title_text="Bar Chart",
layout_template="ssb_plotly_template",
)
bar_chart.show()
Create timeline (scatter plot) with multiple lines with ssb-plotly-template.
timeline_chart = go.Figure(
data=[
go.Scatter(x=df["Dates"], y=df["Values"], mode="lines+markers", name="Line 1"),
go.Scatter(x=df["Dates"], y=df["Values2"], mode="lines+markers", name="Line 2"),
go.Scatter(x=df["Dates"], y=df["Values3"], mode="lines+markers", name="Line 2"),
],
layout_title_text="Timeline",
layout_template="ssb_plotly_template",
)
timeline_chart.show()
Create Plotly Table with ssb-plotly-template.
fig_table = go.Figure(
data=[
go.Table(
header=dict(values=list(df.columns)),
cells=dict(values=[df[col].tolist() for col in df.columns]),
)
]
)
fig_table.update_layout(template="ssb_plotly_template", title="Table")
fig_table.show()
Contributing
Contributions are very welcome. To learn more, see the Contributor Guide.
License
Distributed under the terms of the MIT license, Plotly template SSB design is free and open source software.
Issues
If you encounter any problems, please file an issue along with a detailed description.
Credits
This project was generated from Statistics Norway's SSB PyPI Template.
Project details
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