def calculate_bin_edges(self):
"""
Calculates the number of bins for a given axis.
Uses 10 as the default
:param axis: The axis to calculate the number of bins for
:return: The number of bins for the given axis
"""
from cis.utils import calculate_histogram_bin_edges
from numpy import array
min_val = min(unpacked_data_item["data"].min() for unpacked_data_item in self.unpacked_data_items)
max_val = max(unpacked_data_item["data"].max() for unpacked_data_item in self.unpacked_data_items)
data = array([min_val, max_val])
bin_edges = calculate_histogram_bin_edges(data, "x", self.plot_args["xrange"], self.plot_args["xbinwidth"],
self.plot_args["logx"])
self.plot_args["xrange"]["xmin"] = bin_edges.min()
self.plot_args["xrange"]["xmax"] = bin_edges.max()
return bin_edges
def calculate_bin_edges(self, axis):
"""
Calculates the number of bins for a given axis.
Uses 10 as the default
:param axis: The axis to calculate the number of bins for
:return: The number of bins for the given axis
"""
from cis.utils import calculate_histogram_bin_edges
if axis == "x":
data = self.unpacked_data_items[0]["data"]
elif axis == "y":
data = self.unpacked_data_items[1]["data"]
bin_edges = calculate_histogram_bin_edges(data, axis, self.plot_args[axis + "range"],
self.plot_args[axis + "binwidth"], self.plot_args["log" + axis])
self.plot_args[axis + "range"][axis + "min"] = bin_edges.min()
self.plot_args[axis + "range"][axis + "max"] = bin_edges.max()
return bin_edges
