trying to output histogram data using numpy;
NUMBER_OF_PRICE_BRACKETS = 8
HISTOGRAM_EDGE_RANGE = (0, 1_000_000)
hist, bin_edges = numpy.histogram(price_list, bins=NUMBER_OF_PRICE_BRACKETS, range=HISTOGRAM_EDGE_RANGE)
I get the following output using above code
hist: [0, 6, 6, 0, 0, 0, 0, 0],
bin_edges: [0.0, 125000.0, 250000.0, 375000.0, 500000.0, 625000.0, 750000.0, 875000.0, 1000000.0]
The edges are automatically calculated. Is there any option to force the edges to be created like the example output like below?
hist: [0, 6, 6, 0, 0, 0, 0, 0]
bin_edges: [0.0, 100000.0, 150000.0, 300000.0, 450000.0, 600000.0, 750000.0, 900000.0, 1000000.0]
Maybe using range option like
range=(0, 1_000_000, 150)
You have two options, since histogram will always split your data into equally spaced bins, as if with
np.linspace(*HISTOGRAM_EDGE_RANGE, NUMBER_OF_PRICE_BRACKETS + 1)
Option 1: Supply the uneven bins manually:
HISTOGRAM_EDGES = np.array([
0, 150_000, 300_000, 450_000, 600_000,
750_000, 900_000, 1_000_000])
hist, bin_edges = numpy.histogram(price_list, bins=HISTOGRAM_EDGES)
Option 2: Adjust your range so it does split evenly into the number of bins you want:
NUMBER_OF_PRICE_BRACKETS = 8
HISTOGRAM_EDGE_RANGE = (0, 1_050_000)
hist, bin_edges = numpy.histogram(price_list, bins=NUMBER_OF_PRICE_BRACKETS, range=HISTOGRAM_EDGE_RANGE)