The arcpy.charts module allows you to visualize and explore your data to help uncover patterns, relationships, and structure that might not be apparent when looking at a table or map. These classes correspond to the charts available in ArcGIS Pro.
Bar charts summarize and compare categorical data by using proportional bar lengths to represent values.
Box plots allow you to visualize and compare the distribution and central tendency of numeric values through their quartiles.
Calendar heat charts visualize patterns in temporal data by aggregating incidents into a calendar grid.
Data clocks visually summarize temporal data into two dimensions to reveal seasonal or cyclical patterns and trends over time.
Histograms visually summarize the distribution of a continuous numeric variable by measuring the frequency at which certain values appear in the dataset.
Line charts allow you to visualize change over a continuous range, such as time or distance. Visualizing change with a line chart allows for the overall trend to be displayed at once, and for multiple trends to be compared simultaneously.
Matrix heat charts analyze relationships between two categorical fields, which can be visualized by count or summarized by a numeric field.
Pie charts group data into slices to visualize part-to-whole relationships.
Quantile-quantile (QQ) plots are an exploratory tool used to assess the similarity between the distribution of one numeric variable and a normal distribution, or between the distributions of two numeric variables.
Scatter plots visualize the relationship between two numeric variables, where one variable is displayed on the x-axis, and the other variable is displayed on the y-axis. For each record, a point is plotted where the two variables intersect in the chart. When the resulting points form a nonrandom structure, a relationship exists between the two variables.
A scatter plot matrix is a grid (or matrix) of scatter plots used to visualize bivariate relationships between combinations of variables. Each scatter plot in the matrix visualizes the relationship between a pair of variables, allowing many relationships to be explored in one chart.
The chart classes are subclasses of the Chart class and inherit all properties and methods from the parent class.