examples.md

Example Notebooks

Try the following tutorials and examples to learn and evaluate various features of the Lets-Plot library.

• Quickstart and User Guide
• Geoms and Stats
• Position Adjustment
• Scales
• Facets
• GGBunch
• asDiscrete() function
• gggrid()
• Export to File
• Formatting
• Theme
• Data Sampling
• Tooltip Customization
• Correlation Plot
• GeoTools Support

Quickstart and User Guide

• quickstart.ipynb
• user_guide.ipynb

Geoms and Stats

geomHistogram, geomDensity, geomVLine, geomFreqpoly, geomBoxplot:

distributions.ipynb

geomErrorBar, geomLine, geomPoint, geomBar, geomCrossbar, geomLineRange, geomPointRange:

error_bars.ipynb

geomPoint, geomSmooth (statSmooth):

scatter_plot.ipynb

geom_smooth.ipynb

geomDensity2D, geomDensity2DFilled, geomBin2D, geomPolygon, geomPoint :

density_2d.ipynb

geomTile, geomContour, geomPolygon (Stat.contour), geomContourFilled :

contours.ipynb

geomText, label format

label_format.ipynb

Position Adjustment

• positionDodge : error_bars.ipynb
• positionJitter : scatter_plot.ipynb

Scales

• scaleColorManual, scaleFillManual : error_bars.ipynb
• scaleXContinuous, scaleShapeManual : scatter_plot.ipynb
• scaleColorGradient : density_2d.ipynb
• scaleFillHue, scaleFillGrey, scaleColorGradient : contours.ipynb

Facets

• facetGrid(), facetWrap(): facets.ipynb

GGBunch

GGBunch allows to show a collection of plots on one figure. Each plot in the collection can have arbitrary location and size. There is no automatic layout inside the bunch.

• ggbunch.ipynb
• geom_smooth.ipynb

gggrid()

A simple utility which you can use to arrange plots in a regular grid.

• correlation_plot.ipynb

asDiscrete() function

• geom_smooth.ipynb

Export to File

The ggsave() function is an easy way to export plot to a file in SVG, HTML or raster formats.

• export_to_file.ipynb

Formatting

• formatting_axes_etc
• label_format.ipynb

Theme

Legend layout and axis presentation options :

• legend_and_axis.ipynb

Data sampling

Sampling is a special technique of data transformation, which helps dealing with large datasets and overplotting.

See: Sampling in Lets-Plot.

• Pick sampling on Bar-chart: sampling_pick.ipynb
• Stratified sampling: sampling_stratified.ipynb

Tooltip Customization

• tooltip_config.ipynb

Correlation Plot

• correlation_plot.ipynb

GeoTools Support

See GeoTools Support.

• geotools_naturalearth.ipynb