如果你像我一样是一个控制狂，你可能需要明确设置所有字体大小：

import matplotlib.pyplot as plt

SMALL_SIZE = 8
MEDIUM_SIZE = 10
BIGGER_SIZE = 12

plt.rc('font', size=SMALL_SIZE)          # controls default text sizes
plt.rc('axes', titlesize=SMALL_SIZE)     # fontsize of the axes title
plt.rc('axes', labelsize=MEDIUM_SIZE)    # fontsize of the x and y labels
plt.rc('xtick', labelsize=SMALL_SIZE)    # fontsize of the tick labels
plt.rc('ytick', labelsize=SMALL_SIZE)    # fontsize of the tick labels
plt.rc('legend', fontsize=SMALL_SIZE)    # legend fontsize
plt.rc('figure', titlesize=BIGGER_SIZE)  # fontsize of the figure title

注意，您还可以在matplotlib上设置调用rc方法的大小：

import matplotlib

SMALL_SIZE = 8
matplotlib.rc('font', size=SMALL_SIZE)
matplotlib.rc('axes', titlesize=SMALL_SIZE)

# and so on ...

从matplotlib文档中，

font = {'family' : 'normal',
        'weight' : 'bold',
        'size'   : 22}

matplotlib.rc('font', **font)

这将所有项目的字体设置为kwargs对象font指定的字体。

或者，您也可以使用rcParams更新方法，如以下答案所示：

matplotlib.rcParams.update({'font.size': 22})

or

import matplotlib.pyplot as plt
plt.rcParams.update({'font.size': 22})

您可以在Customizing matplotlib页面上找到可用财产的完整列表。

matplotlib.rcParams.update({'font.size': 22})

这是马里乌斯·雷特根回答的延伸。您可以使用所有修改创建一个单独的JSON文件，然后使用rcParams.update加载它。这些更改仅适用于当前脚本。所以

import json
from matplotlib import pyplot as plt, rcParams

s = json.load(open("example_file.json")
rcParams.update(s)

并将此“example_file.json”保存在同一文件夹中。

{
  "lines.linewidth": 2.0,
  "axes.edgecolor": "#bcbcbc",
  "patch.linewidth": 0.5,
  "legend.fancybox": true,
  "axes.color_cycle": [
    "#348ABD",
    "#A60628",
    "#7A68A6",
    "#467821",
    "#CF4457",
    "#188487",
    "#E24A33"
  ],
  "axes.facecolor": "#eeeeee",
  "axes.labelsize": "large",
  "axes.grid": true,
  "patch.edgecolor": "#eeeeee",
  "axes.titlesize": "x-large",
  "svg.fonttype": "path",
  "examples.directory": ""
}

您可以使用plt.rcParams[“font.size”]在matplotlib中设置font_size，也可以使用plt.rcParams[“font-family”]在matplotlib设置font_family。请尝试以下示例：

import matplotlib.pyplot as plt
plt.style.use('seaborn-whitegrid')

label = [1,2,3,4,5,6,7,8]
x = [0.001906,0.000571308,0.0020305,0.0037422,0.0047095,0.000846667,0.000819,0.000907]
y = [0.2943301,0.047778308,0.048003167,0.1770876,0.532489833,0.024611333,0.157498667,0.0272095]


plt.ylabel('eigen centrality')
plt.xlabel('betweenness centrality')
plt.text(0.001906, 0.2943301, '1 ', ha='right', va='center')
plt.text(0.000571308, 0.047778308, '2 ', ha='right', va='center')
plt.text(0.0020305, 0.048003167, '3 ', ha='right', va='center')
plt.text(0.0037422, 0.1770876, '4 ', ha='right', va='center')
plt.text(0.0047095, 0.532489833, '5 ', ha='right', va='center')
plt.text(0.000846667, 0.024611333, '6 ', ha='right', va='center')
plt.text(0.000819, 0.157498667, '7 ', ha='right', va='center')
plt.text(0.000907, 0.0272095, '8 ', ha='right', va='center')
plt.rcParams["font.family"] = "Times New Roman"
plt.rcParams["font.size"] = "50"
plt.plot(x, y, 'o', color='blue')

我只是想指出，Herman Schaaf和Pedro M Duarte的答案都有效，但在实例化子图（）之前必须这样做，这些设置不会影响已经实例化的对象。我知道这不是一个简单的问题，但当我在调用subplots（）后尝试使用这些更改时，我花了相当长的时间来弄清楚为什么这些答案对我不起作用。

例如：

import matplotlib.pyplot as plt
plt.rcParams.update({'font.size': 6,})
fig, ax = plt.subplots()
#create your plot
plt.show()

or

SMALL_SIZE = 8
MEDIUM_SIZE = 10
BIGGER_SIZE = 12

plt.rc('font', size=SMALL_SIZE)          # controls default text sizes
plt.rc('xtick', labelsize=SMALL_SIZE)    # fontsize of the tick labels
plt.rc('ytick', labelsize=SMALL_SIZE)    # fontsize of the tick labels
fig, ax = plt.subplots()
#create your plot
plt.show()