seaborn.kdeplot

E431015

seaborn.kdeplot is a Seaborn function for visualizing kernel density estimates of continuous data in one or two dimensions.

All labels observed (3)

Label Occurrences
seaborn.distplot 1
seaborn.histplot 1
seaborn.kdeplot canonical 1

How this entity was disambiguated

Statements (52)

Predicate Object
instanceOf Python function
Seaborn plotting function
alternativeTo seaborn.distplot
linked to: seaborn.kdeplot

seaborn.histplot
linked to: seaborn.kdeplot
canUseWith seaborn.FacetGrid
seaborn.JointGrid
linked to: JointGrid
dependsOn matplotlib
linked to: Matplotlib

numpy
linked to: NumPy

scipy
linked to: SciPy
hasInputType array-like data
pandas DataFrame
pandas Series
hasParameter ax
bw_adjust
bw_method
cbar
cbar_ax
cbar_kws
cmap
common_grid
common_norm
cut
data
fill
gridsize
hue
levels
log_scale
shade
shade_lowest
thresh
warn_singular
weights
x
y
implementedInLanguage Python
introducedBy Seaborn author Michael Waskom
outputs matplotlib Axes object
partOf Seaborn library
linked to: Seaborn
supportsDimensionality 1D
2D
typicalUseCase distribution comparison across groups
exploratory data analysis
usedFor bivariate density plots
kernel density estimation visualization
probability density visualization
smoothed histogram visualization
univariate density plots
visualizing continuous distributions
visualStyle contour plot
filled density plot
line density plot

How these facts were elicited

Referenced by (3)

Full triples — surface form annotated when it differs from this entity's canonical label.

sns providesAccessTo seaborn.kdeplot
seaborn.kdeplot alternativeTo seaborn.histplot
linked to: seaborn.kdeplot
seaborn.kdeplot alternativeTo seaborn.distplot
linked to: seaborn.kdeplot