mapclassify.PrettyBreaks¶
- class mapclassify.PrettyBreaks(y, k=5)[source]¶
- __init__(y, k=5)[source]¶
Pretty breakpoints
Computes breaks that are equally spaced round values which cover the range of values in y. The breaks are chosen so that they are 1, 2, or 5 times a power of 10.
Notes
The number of classes may be different from the specified k, as the rounding of the upper bounds takes precedent.
The lower bound of the first interval will be equal to the minimum of the data.
Methods
__init__(y[, k])Pretty breakpoints
find_bin(x)Sort input or inputs according to the current bin estimate.
get_adcm()Absolute deviation around class median (ADCM).
get_fmt()get_gadf()Goodness of absolute deviation of fit.
get_legend_classes([fmt])Format the strings for the classes on the legend.
get_tss()Returns sum of squares over all class means.
make(*args, **kwargs)Configure and create a classifier that will consume data and produce classifications, given the configuration options specified by this function.
plot(gdf[, border_color, border_width, ...])Plot a mapclassifier object.
plot_histogram([color, linecolor, ...])Plot histogram of y with bin values superimposed
set_fmt(fmt)table()update([y, inplace])Add data or change classification parameters.
Attributes
fmt