Python数据可视化之matplotlib实践 源码 第二篇 精进 第五章

图 5.1

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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