Python数据可视化之matplotlib实践 源码 第二篇 精进 第五章
2021-01-15 09:12
标签：png rom display one width cli ima info ticker 图 5.1 ------------------------------------------------------------------------------------- Python数据可视化之matplotlib实践 源码 第二篇 精进 第五章 标签：png rom display one width cli ima info ticker 原文地址：https://www.cnblogs.com/devilmaycry812839668/p/12938060.html
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import AutoMinorLocator, MultipleLocator, FuncFormatter
x=np.linspace(0.5, 3.5, 100)
y=np.sin(x)
fig=plt.figure(figsize=(8, 8))
ax=fig.add_subplot(111)
ax.xaxis.set_major_locator(MultipleLocator(1.0))
ax.yaxis.set_major_locator(MultipleLocator(1.0))
ax.xaxis.set_minor_locator(AutoMinorLocator(4))
ax.yaxis.set_minor_locator(AutoMinorLocator(4))
def minor_tick(x, pos):
if not x%1.0:
return ""
return "%.2f"%x
ax.xaxis.set_minor_formatter(FuncFormatter(minor_tick))
ax.tick_params("y", which=‘major‘,length=15, width=2.0, colors=‘r‘)
ax.tick_params(which=‘minor‘, length=5, width=1.0, labelsize=10, labelcolor=‘0.25‘)
ax.set_xlim(0, 4)
ax.set_ylim(0, 2)
ax.plot(x, y, c=(0.25, 0.25, 1.00), lw=2, zorder=10)
# ax.plot(x, y, c=(0.25, 0.25, 1.00), lw=2, zorder=0)
ax.grid(linestyle=‘-‘, linewidth=0.5, color=‘r‘, zorder=0)
# ax.grid(linestyle=‘-‘, linewidth=0.5, color=‘r‘, zorder=10)
# ax.grid(linestyle=‘--‘, linewidth=0.5, color=‘0.25‘, zorder=0)
plt.show()
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文章标题：Python数据可视化之matplotlib实践 源码 第二篇 精进 第五章
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