Plot#

Distribution#

histogram(data, x, band[, color])

Draw a histogram to show the distribution of a numeric variable.

density_plot(data, x, smooth[, color])

Draw a density curve to show the distribution of a numeric variable.

cumulative_plot(data, x[, color])

Draw a cumulative curve to show the distribution of a numeric variable.

histogram_2D(data, x, y[, color])

Draw a 2D histogram to show the distribution of two numeric variables.

density_plot_2D(data, x, y[, color])

Draw a 2D density plot to show the distribution of two numeric variables.

Categorical#

count_plot(data, x[, color])

Draw a bar plot to show the counts of groups in a categorical variable.

strip_plot(data, x, y[, color])

Draw a strip plot to show the difference between groups in a categorical variable.

swarm_plot(data, x, y[, color])

Draw a swarm plot to show the difference between groups in a categorical variable.

box_plot(data, x, y[, color])

Draw a box plot to show the difference between groups in a categorical variable.

boxen_plot(data, x, y[, color])

Draw an enhanced box plot to show the difference between groups in a categorical variable.

violin_plot(data, x, y[, color])

Draw a violin plot to show the difference between groups in a categorical variable.

bar_plot(data, x, y[, color])

Draw a bar plot to show the difference between groups in a categorical variable.

Relational#

scatter_plot(data, x, y[, color])

Draw a scatter plot to show the relation between two numeric variables.

line_plot(data, x, y[, color])

Draw a line plot to show the relation between two numeric variables.

regression_plot(data, x, y)

Draw a regression line to show the relation between two numeric variables.

Multiple#

ultimate_plot(data, variable)

Draw a multiple plot to show the relations between every two variables.

pair_plot(data, variable[, color, kind])

Draw a multiple plot to show the relations between every two numeric variables.

joint_plot(data, x, y[, color, kind])

Draw a combined plot to show the relation between two numeric variables.

Others#

heatmap(data, x, y, value)

Draw a heat map to show the relation between two categorical variables.

fa_plot(data, x, factors[, color])

Perform a factor analysis and draw a scatter plot to show the transformed data.

pca_plot(data, x[, color])

Perform a principle component analysis and draw a scatter plot to show the transformed data.

lda_plot(data, x, y)

Perform a linear discriminant analysis and draw a scatter plot to show the transformed data.