# coding:utf-8 from matplotlib import pyplot as plt import numpy as np plt.style.use('ggplot') x = np.random.randn(200) y = x + np.random.randn(200) * 0.5 # 确定图的位置 margin_border = 0.1 width = 0.6 margin_between = 0.02 height = 0.2 left_s = margin_border bottom_s = margin_border height_s = width width_s = width left_x = margin_border bottom_x = margin_border + width + margin_between height_x = height width_x = width left_y = margin_border + width + margin_between bottom_y = margin_border height_y = width width_y = height plt.figure(1, figsize=(8, 8)) rect_s = [left_s, bottom_s, width_s, height_s] rect_x = [left_x, bottom_x, width_x, height_x] rect_y = [left_y, bottom_y, width_y, height_y] axScatter = plt.axes(rect_s) axHisX = plt.axes(rect_x) axHisY = plt.axes(rect_y) axHisX.set_xticks([]) axHisY.set_yticks([]) # 绘图 axScatter.scatter(x, y) bin_width = 0.25 xymax = np.max([np.max(np.fabs(x)), np.max(np.fabs(y))]) lim = int(xymax / bin_width + 1) * bin_width axScatter.set_xlim(-lim, lim) axScatter.set_ylim(-lim, lim) bins = np.arange(-lim, lim + bin_width, bin_width) axHisX.hist(x, bins=bins) axHisY.hist(y, bins=bins, orientation='horizontal') # 同步条形图与散点图的横纵坐标 axHisX.set_xlim(axScatter.get_xlim()) axHisY.set_ylim(axScatter.get_ylim()) plt.show()
