point

Point plots show the point estimates of the central tendency (mean) of numerical columns with error bars.

Usage

gurita point [-h] [-x COLUMN] [-y COLUMN] ... other arguments ...

Arguments

Argument	Description	Reference
-h	display help	help
-x COLUMN --xaxis COLUMN	select column for the X axis	X axis
-y COLUMN --yaxis COLUMN	select column for the Y axis	Y axis
--orient {v,h}	Orientation of plot. Allowed values: v = vertical, h = horizontal. Default: v.	orient
--order VALUE [VALUE ...]	controlling the order of the plotted points	order
--hue COLUMN	group columns by hue	hue
--hueorder VALUE [VALUE ...]	order of hue columns	hue order
--logx	log scale X axis	log X axis
--logy	log scale Y axis	log Y axis
--xlim BOUND BOUND	range limit X axis	limit X axis
--ylim BOUND BOUND	range limit Y axis	limit Y axis
--frow COLUMN	column to use for facet rows	facet rows
--fcol COLUMN	column to use for facet columns	facet columns
--fcolwrap INT	wrap the facet column at this width, to span multiple rows	facet wrap

See also

Similar functionality to point plots are provided by:

• Bar plots

Point plots are based on Seaborn’s catplot library function, using the kind="point" option.

Simple example

Point plot showing the mean age for passengers on the titanic by passenger class:

gurita point -y age -x class < titanic.csv

The output of the above command is written to point.class.age.png:

Getting help

The full set of command line arguments for point plots can be obtained with the -h or --help arguments:

gurita point -h

Selecting columns to plot

-x COLUMN, --xaxis COLUMN
-y COLUMN, --yaxis COLUMN

Point plots can be plotted for numerical columns and optionally grouped by categorical columns.

If no categorical column is specified, a single column point plot will be generated showing the distribution of the numerical column.

Note

By default the orientation of the point plot is vertical. In this scenario the numerical column is specified by -y, and the (optional) categorical column is specified by -x.

However, the orientation of the point plot can be made horizontal using the --orient h argument. In this case the sense of the X and Y axes are swapped from the default, and thus the numerical column is specified by -x, and the (optional) categorical column is specified by -y.

In the following example the distribution of age is shown for each value in the class column, where the boxes are plotted horizontally:

gurita point -x age -y class --orient h < titanic.csv

Controlling the order of the plotted points

--order VALUE [VALUE ...]

By default the order of the categorical columns displayed in the point plot is determined from their occurrence in the input data. This can be overridden with the --order argument, which allows you to specify the exact ordering of columns based on their values.

In the following example the point columns of the class column are displayed in the order of First, Second, Third:

gurita point -y age -x class --order First Second Third < titanic.csv

Grouping columns with hue

--hue COLUMN

The data can be further grouped by an additional categorical column with the --hue argument.

In the following example the distribution of age is shown for each value in the class column, and further sub-divided by the sex column:

gurita point -y age -x class --hue sex < titanic.csv

By default the order of the columns within each hue group is determined from their occurrence in the input data. This can be overridden with the --hueorder argument, which allows you to specify the exact ordering of columns within each hue group, based on their values.

In the following example the sex values are displayed in the order of female, male:

gurita point -y age -x class --hue sex --hueorder female male < titanic.csv

It is also possible to use both --order and --hueorder in the same command. For example, the following command controls the order of both the class and sex categorical columns:

gurita point -y age -x class --order First Second Third --hue sex --hueorder female male < titanic.csv

Log scale

--logx
--logy

The distribution of numerical values can be displayed in log (base 10) scale with --logx and --logy.

It only makes sense to log-scale the numerical axis (and not the categorical axis). Therefore, --logx should be used when numerical columns are selected with -x, and conversely, --logy should be used when numerical columns are selected with -y.

For example, you can display a log scale point plot for the age column grouped by class (when the distribution of age is displayed on the Y axis) like so. Note carefully that the numerical data is displayed on the Y-axis (-y), therefore the --logy argument should be used to log-scale the numerical distribution:

gurita point -y age -x class --logy < titanic.csv

Axis range limits

--xlim LOW HIGH
--ylim LOW HIGH

The range of displayed numerical distributions can be restricted with --xlim and --ylim. Each of these flags takes two numerical values as arguments that represent the lower and upper bounds of the range to be displayed.

It only makes sense to range-limit the numerical axis (and not the categorical axis). Therefore, --xlim should be used when numerical columns are selected with -x, and conversely, --ylim should be used when numerical columns are selected with -y.

For example, you can display range-limited range for the age column grouped by class (when the distribution of age is displayed on the Y axis) like so. Note carefully that the numerical data is displayed on the Y-axis (-y), therefore the --ylim argument should be used to range-limit the distribution:

gurita point -y age -x class --ylim 10 30 < titanic.csv

Facets

--frow COLUMN
--fcol COLUMN
--fcolwrap INT

Point plots can be further divided into facets, generating a matrix of point plots, where a numerical value is further categorised by up to 2 more categorical columns.

See the facet documentation for more information on this feature.

gurita point -y age -x class --fcol sex < titanic.csv