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
as_discrete()
function- Export to File
- Theme
- Data Sampling
- Tooltip Customization
- The 'bistro' Package
- GeoPandas Support
- Interactive Maps
- Geocoding API
geom_histogram, geom_density, geom_vline, geom_freqpoly, geom_boxplot
:
geom_errorbar, geom_line, geom_point, geom_bar, geom_crossbar, geom_linerange, geom_pointrange
:
geom_point, geom_smooth (stat_smooth)
:
geom_density2d, geom_density2df, geom_bin2d, geom_polygon, geom_point
:
geom_tile, geom_contour, geom_polygon (Stat.contour), geom_contourf
:
geom_image, geom_raster
geom_image()
: displays an image specified by a ndarray with shape (n,m) or (n,m,3) or (n,m,4).
See also: image_matrix
in The 'bistro' Package.
geom_text
, label format
stat_corr
See the 'corr_plot' example in The 'bistro' Package.
position_dodge
: error_bars.ipynbposition_jitter
: scatter_plot.ipynb
scale_color_manual, scale_fill_manual
: error_bars.ipynbscale_x_continuous, scale_shape_manual
: scatter_plot.ipynbscale_color_gradient
: density_2d.ipynbscale_fill_hue, scale_fill_grey, scale_color_gradient
: contours.ipynb
facet_grid
: distributions.ipynb
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.
The ggsave()
function is an easy way to export plot to a file in SVG or HTML formats.
Legend layout and axis presentation options :
Sampling is a special technique of data transformation, which helps to deal with large datasets and overplotting.
See: Sampling in Lets-Plot.
- tooltip_config.ipynb
- Visualization of Airport Data on Map:
See also Tooltip Customization.
corr_plot
(also stat_corr
): [TODO]
image_matrix
: image_matrix.ipynb
See GeoPandas Support.
The interactive map allows zooming in and out and panning around geospatial data that can be added to the base-map layer using regular ggplot2 'geoms'.
See Interactive Maps.
Geocoding is the process of converting names of places into geographic coordinates.
See Geocoding API.