以下代码为日期时间值绘制cdf:
import matplotlib.pyplot as plt
import matplotlib.dates as dates
import numpy as np; np.random.seed(42)
import pandas as pd
objDate = dates.num2date(np.random.normal(735700, 300, 700))
ser = pd.Series(objDate)
ax = ser.hist(cumulative=True, density=1, bins=500, histtype='step')
plt.show()
如何删除图表最右端的垂直线?提及here的方法不能用#9替换第9行。
ax = ser.hist(cumulative=True, density=1, bins=sorted(objDate)+[np.inf], histtype='step')
给出
TypeError:无法将datetime.datetime与float
进行比较
答案 0 :(得分:1)
CDF实际上绘制为多边形,matplotlib
中的多边形由路径定义。路径又由顶点(去哪里)和代码(如何到达)定义。文档说我们不应该直接改变这些属性,但我们可以创建一个符合我们需要的旧的 new 多边形。
poly = ax.findobj(plt.Polygon)[0]
vertices = poly.get_path().vertices
# Keep everything above y == 0. You can define this mask however
# you need, if you want to be more careful in your selection.
keep = vertices[:, 1] > 0
# Construct new polygon from these "good" vertices
new_poly = plt.Polygon(vertices[keep], closed=False, fill=False,
edgecolor=poly.get_edgecolor(),
linewidth=poly.get_linewidth())
poly.set_visible(False)
ax.add_artist(new_poly)
plt.draw()
你应该得到如下图所示的内容: