更改Matplotlib字体而不影响全局

Question

我有一个创建情节，显示并保存的功能：

def make_a_plot():
    plt.plot(x,y)
    plt.show()
    plt.safefig('./my_plot.png')

我希望情节不受当前任何设置的影响而不会影响他们正在使用的设置的全局更改：

# User can set whatever plotting settings they want
plt.style.use('ggplot') 

def make_a_plot():

    #clear settings and modify font family
    rcdefaults()
    rcParams['font.family'] = 'sans-serif'

    plt.plot(x,y)
    plt.show()
    plt.safefig('./my_plot.png')

# Use the function
make_a_plot(x,y)

# Create a second plot with their ORIGINAL settings
plt.plot(x2,y2)
plt.show()

如何确保该功能创建的绘图不受用户设置的影响，并且该功能后创建的绘图不会受到使用该功能的影响？< / p>

Answer 1

你的问题在范围上有点不清楚。

是否是您想要控制/覆盖的字体属性（仅限），无论全局设置如何，或者您是否要忽略所有现有设置。

如果您只想控制字体属性，可以使用fontproperties参数：

import matplotlib.pyplot as plt
import matplotlib.font_manager as fm

# Plt with customized font settings
def make_plot(ax, x, y):
    # Set the font dictionaries (for plot title and axis titles)
    title_font = {'fontname':'Arial', 'size':'16', 'color':'blue', 'weight':'normal'}   # This can be a long dictionary

    # Set the font properties for other places
    font_path = 'C:\Windows\Fonts\comic.ttf'
    font = fm.FontProperties(fname=font_path, size=14)
    axis_font = fm.FontProperties(fname=font_path, size=13)

    # Set the tick labels font
    for label in (ax.get_xticklabels() + ax.get_yticklabels()):
        # label.set_fontname('Arial')
        # label.set_fontsize(13)
        label.set_font_properties(font)

    ax.plot(x, y, 'r-', label=u'Thin Red Line')
    ax.set_xlabel(u"X axis", fontproperties=axis_font)
    ax.set_ylabel(u"Y axis", fontproperties=axis_font)
    ax.set_title(u"This is the Title", **title_font)
    ax.legend(loc='lower right', prop=font, numpoints=1)
    ax.text(0.1, 5, u"Some text", fontproperties=font)

# A regular plot with global fong settings:
def regular_plot(ax, x, y):
    ax.plot(x,y, 'b-', label=u'Blue Line')
    ax.set_xlabel(u"X axis")
    ax.set_ylabel(u"Y axis")
    ax.set_title(u"This is the Title", axes=ax1)
    ax.legend(loc='lower right', numpoints=1)

fig, (ax1, ax2, ax3) = plt.subplots(1,3, figsize=(9,3))
x = y = range(0, 10) # Some data

# 1st make a regular plot:
regular_plot(ax1, x, y)
# then make customized plot:
make_plot(ax2, x, y)
# then agains a regular plot:
regular_plot(ax3, x, y)
plt.show()

从结果图中可以看出，自定义绘图没有改变，也没有受到全局字体设置的影响。

如果您正在寻找更完整的控件，可能需要了解如何使用style sheets