seaborn.set_context
E431016
seaborn.set_context is a Seaborn function that scales plot elements to suit different presentation contexts such as papers, notebooks, talks, or posters.
All labels observed (1)
| Label | Occurrences |
|---|---|
| seaborn.set_context canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4326247 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: seaborn.set_context Context triple: [sns, providesAccessTo, seaborn.set_context]
-
A.
Seaborn
Seaborn is a Python data visualization library built on top of Matplotlib that provides a high-level interface for creating attractive and informative statistical graphics.
-
B.
Matplotlib
Matplotlib is a widely used Python plotting library for creating static, animated, and interactive visualizations.
-
C.
Plotly
Plotly is an interactive, open-source graphing and data visualization library widely used in Python for creating rich, web-based charts and dashboards.
-
D.
TkAgg
TkAgg is a Matplotlib backend that renders plots using the Agg engine and displays them in GUI windows via the Tkinter toolkit.
-
E.
Qt5Agg
Qt5Agg is a Matplotlib rendering backend that combines the Qt5 GUI framework with the Anti-Grain Geometry (Agg) engine to display high-quality interactive plots.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: seaborn.set_context Target entity description: seaborn.set_context is a Seaborn function that scales plot elements to suit different presentation contexts such as papers, notebooks, talks, or posters.
-
A.
Seaborn
Seaborn is a Python data visualization library built on top of Matplotlib that provides a high-level interface for creating attractive and informative statistical graphics.
-
B.
Matplotlib
Matplotlib is a widely used Python plotting library for creating static, animated, and interactive visualizations.
-
C.
Plotly
Plotly is an interactive, open-source graphing and data visualization library widely used in Python for creating rich, web-based charts and dashboards.
-
D.
TkAgg
TkAgg is a Matplotlib backend that renders plots using the Agg engine and displays them in GUI windows via the Tkinter toolkit.
-
E.
Qt5Agg
Qt5Agg is a Matplotlib rendering backend that combines the Qt5 GUI framework with the Anti-Grain Geometry (Agg) engine to display high-quality interactive plots.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf |
Python function
ⓘ
Seaborn API function ⓘ |
| affects | matplotlib rcParams ⓘ |
| category | visualization configuration function ⓘ |
| contextLevel(notebook) | medium base element sizes ⓘ |
| contextLevel(paper) | smallest base element sizes ⓘ |
| contextLevel(poster) | largest base element sizes ⓘ |
| contextLevel(talk) | larger base element sizes ⓘ |
| defaultValue(context) | paper ⓘ |
| defaultValue(font_scale) | 1 ⓘ |
| defaultValue(rc) | None ⓘ |
| definedIn | seaborn.rcmod module ⓘ |
| hasParameter |
context
ⓘ
font_scale ⓘ rc ⓘ |
| hasPurpose | scale plot elements for different presentation contexts ⓘ |
| influences |
axes label sizes
ⓘ
font sizes ⓘ line widths ⓘ tick label sizes ⓘ title sizes ⓘ |
| introducedFor | consistent styling across different output media ⓘ |
| parameterType(context) | str or dict ⓘ |
| parameterType(font_scale) | float ⓘ |
| parameterType(rc) | dict or None ⓘ |
| partOf | seaborn ⓘ |
| programmingLanguage | Python ⓘ |
| relatedTo |
seaborn.set_style
ⓘ
seaborn.set_theme ⓘ |
| returns | None ⓘ |
| scope | affects subsequent plots until context is changed again ⓘ |
| sideEffect |
changes default sizes of labels and lines
ⓘ
changes default sizes of ticks and titles ⓘ modifies global plotting context ⓘ |
| supportsContext |
notebook
ⓘ
paper ⓘ poster ⓘ talk ⓘ |
| threadSafety | not thread-safe due to global rcParams modification ⓘ |
| typicalUse | control visual emphasis of Seaborn and Matplotlib plots ⓘ |
| usageExample |
seaborn.set_context('paper', font_scale=1.5)
ⓘ
seaborn.set_context('talk') ⓘ |
| worksWith |
matplotlib.axes.Axes
ⓘ
matplotlib.figure.Figure ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: seaborn.set_context Description of subject: seaborn.set_context is a Seaborn function that scales plot elements to suit different presentation contexts such as papers, notebooks, talks, or posters.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.