目录

用法:

matplotlib.pyplot.stem(*args, linefmt=None, markerfmt=None, basefmt=None, bottom=0, label=None, use_line_collection=True, orientation="vertical", data=None)

参数说明

案例

参数

x,y

import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0.1, 2 * np.pi, 41)
y = np.exp(np.sin(x))
plt.stem(x, y)
plt.show()

linefmtlinefmt用来指定棉棒的颜色和样式等

import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(0.1,2 * np.pi, 41)
y = np.exp(np.sin(x))
fit, axs = plt.subplots(nrows=2, ncols=2, figsize=(14,7))
axs[0,0].set_title("linefmt="-",color="green"")
axs[0,0] = axs[0,0].stem(x,y,linefmt="g-")
axs[0,1].set_title("linefmt="-.", color="blue"")
axs[0,1] = axs[0,1].stem(x,y,linefmt="b-.")
axs[1,0].set_title("linefmt=":", color="red"")
axs[1,0] = axs[1,0].stem(x,y,linefmt="r:")
axs[1,1].set_title("linefmt="--", color="p"")
axs[1,1] = axs[1,1].stem(x,y,linefmt="o--")
plt.show()

basefmt

import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(0.1,2 * np.pi, 41)
y = np.exp(np.sin(x))
fit, axs = plt.subplots(nrows=2, ncols=1, figsize=(14,7))
axs[0].set_title("basefmt="-",color="C2"")
axs[0] = axs[0].stem(x,y,linefmt="b--",basefmt="C2--")
axs[1].set_title("basefmt="-.", color="C1"")
axs[1] = axs[1].stem(x,y,linefmt="b-.",basefmt="C1-.")
plt.show()

bottom

import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(0.1,2 * np.pi, 41)
y = np.exp(np.sin(x))
fit, axs = plt.subplots(nrows=1, ncols=2, figsize=(14,7))
axs[0].set_title("bottom")
axs[0].stem(x,y,linefmt="grey",markerfmt="D",bottom=1.1)
axs[1].set_title("no bottom")
axs[1].stem(x,y,linefmt="grey",markerfmt="D")
plt.show()

案例

import numpy as np
import matplotlib.pyplot as plt
# 生成模拟数据集
x=np.linspace(0,10,20)
y=np.random.randn(20)
# 绘制棉棒图
markerline, stemlines, baseline = plt.stem(x,y,linefmt="-",markerfmt="o",basefmt="--",label="TestStem")
# 可单独设置棉棒末端，棉棒连线以及基线的属性
plt.setp(markerline, color="k")#将棉棒末端设置为黑色
plt.legend()
plt.show()

总结

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关键词： 参数说明 显著提高 模拟数据