"""plt.errorbar(x, y, yerr = , xerr = , fmt = "", ecolor = , elinewidth = None, capsize = None, capthick = None,) # this is the whole function 标准差： standard deviation 标准误： standard error x: 横坐标 y: 纵坐标 fmt: 各数据点之间连接的形式 elinewidth: 方差线的宽度 capsize: 标准差线终点两个横线的长度 capthick: 标准差线终点两个横线的厚度 xerr: x坐标的标准差，上下各一个标准差 yerr: y坐标的标准差，上下各一个标准差 """ import matplotlib.pyplot as plt import numpy as np x = np.linspace(1,10,20) y = np.sin(x) * 3 std = np.random.rand(20) plt.errorbar(x, y, yerr = std, fmt = "-", ecolor = "red", elinewidth = 0.5, capsize = 2, capthick = 1) plt.show() # 转自： https://blog.csdn.net/weixin_38314865/article/details/104869284 """plt.errorbar(x, y, yerr = , xerr = , fmt = "", ecolor = , elinewidth = None, capsize = None, capthick = None,) # this is the whole function 标准差： standard deviation 标准误： standard error x: 横坐标 y: 纵坐标 fmt: 各数据点之间连接的形式 elinewidth: 方差线的宽度 capsize: 标准差线终点两个横线的长度 capthick: 标准差线终点两个横线的厚度 xerr: x坐标的标准差，上下各一个标准差 yerr: y坐标的标准差，上下各一个标准差 """ import matplotlib.pyplot as plt import numpy as np x = np.linspace(1,10,20) y = np.sin(x) * 3 std = np.random.rand(20) plt.errorbar(x, y, yerr = std, fmt = "-", ecolor = "red", elinewidth = 0.5, capsize = 2, capthick = 1) plt.show() # 转自： https://blog.csdn.net/weixin_38314865/article/details/104869284
