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Compare capture/recapture statistics for different sample sizes and population sizes
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from jutility import plotting | |
import numpy as np | |
rng = np.random.default_rng(0) | |
# plotting.set_latex_params() | |
combined_output_list = [] | |
for population_size in [100, 200, 500, 1000, 2000, 5000, 10000]: | |
subplots = [] | |
step = int(population_size / 10) | |
bins = np.linspace(0, 2 * population_size, 50) | |
num_trials = 1000 | |
for sample_size in range(step, population_size, step): | |
observation_size = np.zeros(num_trials) | |
population = np.zeros(population_size) | |
population[:sample_size] = 1 | |
for trial in range(num_trials): | |
observation = rng.choice(population, sample_size, replace=False) | |
observation_size[trial] = observation.sum() | |
observation_size = observation_size[observation_size > 0] | |
population_estimate = sample_size * sample_size / observation_size | |
sp = plotting.Subplot( | |
plotting.Hist(np.round(population_estimate), bins=bins, color="b"), | |
axis_properties=plotting.AxisProperties( | |
xlim=[0, 2*population_size], | |
title="Sample size = %i" % sample_size, | |
grid=False, | |
), | |
) | |
subplots.append(sp) | |
mp = plotting.MultiPlot( | |
*subplots, | |
figure_properties=plotting.FigureProperties( | |
figsize=[8, 6], | |
title="Population size = %i" % population_size, | |
top_space=0.15, | |
), | |
) | |
mp.save( | |
plot_name="Population size = %05i" % population_size, | |
dir_name=".", | |
) | |
mp_image = mp.get_image_array() | |
sp = plotting.Subplot(plotting.ImShow(mp_image, axis_off=True)) | |
combined_output_list.append(sp) | |
mp.close() | |
mp = plotting.MultiPlot(*combined_output_list) | |
mp.save("Combined output", dir_name=".") |
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