JointGrid
E96637
JointGrid is a Seaborn plotting object that creates multi-panel visualizations combining joint and marginal distributions of two variables.
Aliases (1)
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
Python class
→
Seaborn plotting object → |
| allows |
customization of joint and marginal plot types independently
→
passing keyword arguments to joint function → passing keyword arguments to marginal functions → |
| canBeExtendedBy |
user-defined plotting functions for joint axis
→
user-defined plotting functions for marginal axes → |
| compatibleWith |
Seaborn themes and styles
→
|
| createdBy |
Seaborn library
→
|
| dependsOn |
matplotlib
→
pandas → |
| hasAttribute |
ax_joint
→
ax_marg_x → ax_marg_y → data → fig → height → hue → ratio → space → x → xlim → y → ylim → |
| hasMethod |
annotate
→
plot → plot_joint → plot_marginals → savefig → set → set_axis_labels → |
| introducedIn |
early versions of Seaborn 0.x series
→
|
| output |
matplotlib Figure object
→
|
| partOf |
seaborn.axisgrid module
→
|
| supports |
bivariate data visualization
→
univariate marginal plots → |
| supportsKind |
KDE plots in marginal axes
→
hexbin plots in joint axis → histograms in marginal axes → kernel density estimates in joint axis → scatter plots in joint axis → |
| usedByFunction |
seaborn.jointplot
→
|
| usedFor |
creating multi-panel visualizations
→
visualizing joint distribution of two variables → visualizing marginal distributions of two variables → |
| visualLayout |
one central joint axis with two marginal axes
→
|