刻度格式化程序
显示不同的刻度格式化程序。

import numpy as npimport matplotlib.pyplot as pltimport matplotlib.ticker as ticker# Setup a plot such that only the bottom spine is showndef setup(ax):ax.spines['right'].set_color('none')ax.spines['left'].set_color('none')ax.yaxis.set_major_locator(ticker.NullLocator())ax.spines['top'].set_color('none')ax.xaxis.set_ticks_position('bottom')ax.tick_params(which='major', width=1.00, length=5)ax.tick_params(which='minor', width=0.75, length=2.5, labelsize=10)ax.set_xlim(0, 5)ax.set_ylim(0, 1)ax.patch.set_alpha(0.0)fig = plt.figure(figsize=(8, 6))n = 7# Null formatterax = fig.add_subplot(n, 1, 1)setup(ax)ax.xaxis.set_major_locator(ticker.MultipleLocator(1.00))ax.xaxis.set_minor_locator(ticker.MultipleLocator(0.25))ax.xaxis.set_major_formatter(ticker.NullFormatter())ax.xaxis.set_minor_formatter(ticker.NullFormatter())ax.text(0.0, 0.1, "NullFormatter()", fontsize=16, transform=ax.transAxes)# Fixed formatterax = fig.add_subplot(n, 1, 2)setup(ax)ax.xaxis.set_major_locator(ticker.MultipleLocator(1.0))ax.xaxis.set_minor_locator(ticker.MultipleLocator(0.25))majors = ["", "0", "1", "2", "3", "4", "5"]ax.xaxis.set_major_formatter(ticker.FixedFormatter(majors))minors = [""] + ["%.2f" % (x-int(x)) if (x-int(x))else "" for x in np.arange(0, 5, 0.25)]ax.xaxis.set_minor_formatter(ticker.FixedFormatter(minors))ax.text(0.0, 0.1, "FixedFormatter(['', '0', '1', ...])",fontsize=15, transform=ax.transAxes)# FuncFormatter can be used as a decorator@ticker.FuncFormatterdef major_formatter(x, pos):return "[%.2f]" % xax = fig.add_subplot(n, 1, 3)setup(ax)ax.xaxis.set_major_locator(ticker.MultipleLocator(1.00))ax.xaxis.set_minor_locator(ticker.MultipleLocator(0.25))ax.xaxis.set_major_formatter(major_formatter)ax.text(0.0, 0.1, 'FuncFormatter(lambda x, pos: "[%.2f]" % x)',fontsize=15, transform=ax.transAxes)# FormatStr formatterax = fig.add_subplot(n, 1, 4)setup(ax)ax.xaxis.set_major_locator(ticker.MultipleLocator(1.00))ax.xaxis.set_minor_locator(ticker.MultipleLocator(0.25))ax.xaxis.set_major_formatter(ticker.FormatStrFormatter(">%d<"))ax.text(0.0, 0.1, "FormatStrFormatter('>%d<')",fontsize=15, transform=ax.transAxes)# Scalar formatterax = fig.add_subplot(n, 1, 5)setup(ax)ax.xaxis.set_major_locator(ticker.AutoLocator())ax.xaxis.set_minor_locator(ticker.AutoMinorLocator())ax.xaxis.set_major_formatter(ticker.ScalarFormatter(useMathText=True))ax.text(0.0, 0.1, "ScalarFormatter()", fontsize=15, transform=ax.transAxes)# StrMethod formatterax = fig.add_subplot(n, 1, 6)setup(ax)ax.xaxis.set_major_locator(ticker.MultipleLocator(1.00))ax.xaxis.set_minor_locator(ticker.MultipleLocator(0.25))ax.xaxis.set_major_formatter(ticker.StrMethodFormatter("{x}"))ax.text(0.0, 0.1, "StrMethodFormatter('{x}')",fontsize=15, transform=ax.transAxes)# Percent formatterax = fig.add_subplot(n, 1, 7)setup(ax)ax.xaxis.set_major_locator(ticker.MultipleLocator(1.00))ax.xaxis.set_minor_locator(ticker.MultipleLocator(0.25))ax.xaxis.set_major_formatter(ticker.PercentFormatter(xmax=5))ax.text(0.0, 0.1, "PercentFormatter(xmax=5)",fontsize=15, transform=ax.transAxes)# Push the top of the top axes outside the figure because we only show the# bottom spine.fig.subplots_adjust(left=0.05, right=0.95, bottom=0.05, top=1.05)plt.show()
