《Python数据可视化之matplotlib实践》 源码 第四篇 扩展 第十一章
2021-04-25 07:29
标签:gif === lin range har col param school atp 图 11.2 ================================== 图 11.3 ================================== 图 11.4 ================================== 图 11.5 ================================== 《Python数据可视化之matplotlib实践》 源码 第四篇 扩展 第十一章 标签:gif === lin range har col param school atp 原文地址:https://www.cnblogs.com/devilmaycry812839668/p/13258734.htmlimport matplotlib.pyplot as plt
import matplotlib as mpl
import numpy as np
plt.axes([0.1, 0.1, 0.8, 0.8], frameon=True, facecolor="y", aspect="equal")
plt.plot(2+np.arange(3), [0, 1, 0])
plt.title("Line Chart")
plt.text(2.25, 0.8, "FONT")
plt.show()
import matplotlib.pyplot as plt
import numpy as np
plt.rcParams["lines.linewidth"]=8.0
plt.rcParams["lines.linestyle"]="--"
plt.rcParams["font.family"]="serif"
plt.rcParams["font.serif"]="New Century Schoolbook" ###
plt.rcParams["font.style"]="normal"
plt.rcParams["font.variant"]="small-caps"
plt.rcParams["font.weight"]="black"
plt.rcParams["font.size"]=12.0
plt.rcParams["text.color"]="blue"
plt.axes([0.1, 0.1, 0.8, 0.8], frameon=True, facecolor="y", aspect="equal")
plt.plot(2+np.arange(3), [0, 1, 0])
plt.title("Line Chart")
plt.text(2.25, 0.8, "FONT")
plt.show()
import matplotlib.pyplot as plt
import numpy as np
plt.axes([0.1, 0.1, 0.8, 0.8], frameon=True, facecolor="y", aspect="equal")
plt.plot(2+np.arange(3), [0, 1, 0], linewidth=8.0, linestyle="--")
plt.title("Line Chart", color="red", family="New Century Schoolbook",
style="normal", variant="small-caps", weight="black", size=18) ###
plt.text(2.25, 0.8, "FONT", color="blue", fontdict={"family":"New Century Schoolbook",
"style":"normal", "variant":"small-caps", "weight":"black", "size":28}) ###
plt.show()
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