如何在多个matplotlib直方图之间使bin宽度保持一致？(How can a bin width be made consistent between multiple matplotlib h

如何在多个matplotlib直方图之间使bin宽度保持一致？(How can a bin width be made consistent between multiple matplotlib histograms?)

我有一个小函数，旨在获取两个数字列表，并使用它们各自的直方图重叠并使用比率图来比较它们。比率图的箱宽度与重叠直方图的箱宽度不一致。如何使比率图具有与叠加直方图相同的bin宽度？

import numpy import matplotlib.pyplot import datavision # sudo pip install datavision import shijian # sudo pip install shijian def main(): a = numpy.random.normal(2, 2, size = 120) b = numpy.random.normal(2, 2, size = 120) save_histogram_comparison_matplotlib( values_1 = a, values_2 = b, label_1 = "a", label_2 = "b", normalize = True, label_ratio_x = "frequency", label_y = "", title = "comparison of a and b", filename = "test.png" ) def save_histogram_comparison_matplotlib( values_1 = None, values_2 = None, filename = None, number_of_bins = None, normalize = True, label_x = "", label_y = None, label_ratio_x = "frequency", label_ratio_y = "ratio", title = None, label_1 = "1", label_2 = "2", overwrite = True, LaTeX = False ): matplotlib.pyplot.ioff() if LaTeX is True: matplotlib.pyplot.rc("text", usetex = True) matplotlib.pyplot.rc("font", family = "serif") if number_of_bins is None: number_of_bins_1 = datavision.propose_number_of_bins(values_1) number_of_bins_2 = datavision.propose_number_of_bins(values_2) number_of_bins = int((number_of_bins_1 + number_of_bins_2) / 2) if filename is None: filename = shijian.propose_filename( filename = title.replace(" ", "_") + ".png", overwrite = overwrite ) values = [] values.append(values_1) values.append(values_2) figure, (axis_1, axis_2) = matplotlib.pyplot.subplots(nrows = 2) ns, bins, patches = axis_1.hist( values, normed = normalize, histtype = "stepfilled", bins = number_of_bins, alpha = 0.5, label = [label_1, label_2] ) axis_1.legend() axis_2.bar( bins[:-1], ns[0] / ns[1], alpha = 1, ) axis_1.set_xlabel(label_x) axis_1.set_ylabel(label_y) axis_2.set_xlabel(label_ratio_x) axis_2.set_ylabel(label_ratio_y) matplotlib.pyplot.title(title) matplotlib.pyplot.savefig(filename) matplotlib.pyplot.close() if __name__ == "__main__": main()

编辑：临时刮板，因为评论中的编码是不合理的

import numpy import matplotlib.pyplot import datavision import shijian def main(): a = numpy.random.normal(2, 2, size = 120) b = numpy.random.normal(2, 2, size = 120) save_histogram_comparison_matplotlib( values_1 = a, values_2 = b, label_1 = "a", label_2 = "b", normalize = True, label_ratio_x = "frequency", label_y = "", title = "comparison of a and b", filename = "test.png" ) def save_histogram_comparison_matplotlib( values_1 = None, values_2 = None, filename = None, number_of_bins = None, normalize = True, label_x = "", label_y = None, label_ratio_x = "frequency", label_ratio_y = "ratio", title = None, label_1 = "1", label_2 = "2", overwrite = True, LaTeX = False ): matplotlib.pyplot.ioff() if LaTeX is True: matplotlib.pyplot.rc("text", usetex = True) matplotlib.pyplot.rc("font", family = "serif") if number_of_bins is None: number_of_bins_1 = datavision.propose_number_of_bins(values_1) number_of_bins_2 = datavision.propose_number_of_bins(values_2) number_of_bins = int((number_of_bins_1 + number_of_bins_2) / 2) if filename is None: filename = shijian.propose_filename( filename = title.replace(" ", "_") + ".png", overwrite = overwrite ) bar_width = 1 values = [] values.append(values_1) values.append(values_2) figure, (axis_1, axis_2) = matplotlib.pyplot.subplots(nrows = 2) ns, bins, patches = axis_1.hist( values, normed = normalize, histtype = "stepfilled", bins = number_of_bins, alpha = 0.5, label = [label_1, label_2], rwidth = bar_width ) axis_1.legend() axis_2.bar( bins[:-1], ns[0] / ns[1], alpha = 1, width = bar_width ) axis_1.set_xlabel(label_x) axis_1.set_ylabel(label_y) axis_2.set_xlabel(label_ratio_x) axis_2.set_ylabel(label_ratio_y) matplotlib.pyplot.title(title) matplotlib.pyplot.savefig(filename) matplotlib.pyplot.close() if __name__ == "__main__": main()

I have a small function that is intended to take two lists of numbers and to compare them using their respective histograms overlaid and using a ratio plot. The bin width of the ratio plot is inconsistent with the bin width of the overlaid histograms. How could the ratio plot be made to have bin widths identical to those of the overlaid histograms?

import numpy import matplotlib.pyplot import datavision # sudo pip install datavision import shijian # sudo pip install shijian def main(): a = numpy.random.normal(2, 2, size = 120) b = numpy.random.normal(2, 2, size = 120) save_histogram_comparison_matplotlib( values_1 = a, values_2 = b, label_1 = "a", label_2 = "b", normalize = True, label_ratio_x = "frequency", label_y = "", title = "comparison of a and b", filename = "test.png" ) def save_histogram_comparison_matplotlib( values_1 = None, values_2 = None, filename = None, number_of_bins = None, normalize = True, label_x = "", label_y = None, label_ratio_x = "frequency", label_ratio_y = "ratio", title = None, label_1 = "1", label_2 = "2", overwrite = True, LaTeX = False ): matplotlib.pyplot.ioff() if LaTeX is True: matplotlib.pyplot.rc("text", usetex = True) matplotlib.pyplot.rc("font", family = "serif") if number_of_bins is None: number_of_bins_1 = datavision.propose_number_of_bins(values_1) number_of_bins_2 = datavision.propose_number_of_bins(values_2) number_of_bins = int((number_of_bins_1 + number_of_bins_2) / 2) if filename is None: filename = shijian.propose_filename( filename = title.replace(" ", "_") + ".png", overwrite = overwrite ) values = [] values.append(values_1) values.append(values_2) figure, (axis_1, axis_2) = matplotlib.pyplot.subplots(nrows = 2) ns, bins, patches = axis_1.hist( values, normed = normalize, histtype = "stepfilled", bins = number_of_bins, alpha = 0.5, label = [label_1, label_2] ) axis_1.legend() axis_2.bar( bins[:-1], ns[0] / ns[1], alpha = 1, ) axis_1.set_xlabel(label_x) axis_1.set_ylabel(label_y) axis_2.set_xlabel(label_ratio_x) axis_2.set_ylabel(label_ratio_y) matplotlib.pyplot.title(title) matplotlib.pyplot.savefig(filename) matplotlib.pyplot.close() if __name__ == "__main__": main()

EDIT: temporary scratchboard because coding in comments isn't reasonable

import numpy import matplotlib.pyplot import datavision import shijian def main(): a = numpy.random.normal(2, 2, size = 120) b = numpy.random.normal(2, 2, size = 120) save_histogram_comparison_matplotlib( values_1 = a, values_2 = b, label_1 = "a", label_2 = "b", normalize = True, label_ratio_x = "frequency", label_y = "", title = "comparison of a and b", filename = "test.png" ) def save_histogram_comparison_matplotlib( values_1 = None, values_2 = None, filename = None, number_of_bins = None, normalize = True, label_x = "", label_y = None, label_ratio_x = "frequency", label_ratio_y = "ratio", title = None, label_1 = "1", label_2 = "2", overwrite = True, LaTeX = False ): matplotlib.pyplot.ioff() if LaTeX is True: matplotlib.pyplot.rc("text", usetex = True) matplotlib.pyplot.rc("font", family = "serif") if number_of_bins is None: number_of_bins_1 = datavision.propose_number_of_bins(values_1) number_of_bins_2 = datavision.propose_number_of_bins(values_2) number_of_bins = int((number_of_bins_1 + number_of_bins_2) / 2) if filename is None: filename = shijian.propose_filename( filename = title.replace(" ", "_") + ".png", overwrite = overwrite ) bar_width = 1 values = [] values.append(values_1) values.append(values_2) figure, (axis_1, axis_2) = matplotlib.pyplot.subplots(nrows = 2) ns, bins, patches = axis_1.hist( values, normed = normalize, histtype = "stepfilled", bins = number_of_bins, alpha = 0.5, label = [label_1, label_2], rwidth = bar_width ) axis_1.legend() axis_2.bar( bins[:-1], ns[0] / ns[1], alpha = 1, width = bar_width ) axis_1.set_xlabel(label_x) axis_1.set_ylabel(label_y) axis_2.set_xlabel(label_ratio_x) axis_2.set_ylabel(label_ratio_y) matplotlib.pyplot.title(title) matplotlib.pyplot.savefig(filename) matplotlib.pyplot.close() if __name__ == "__main__": main()