matplotlib源碼解析標題實現(窗口標題，標題，子圖標題不同之間的差異)

import matplotlib.pyplot as plt

plt.rcParams['font.sans-serif'] = 'SimHei'

fig = plt.figure()
plt.plot([1, 2])
# 設置圖像標題
plt.suptitle("這是圖像標題")
# 設置子圖標題
plt.title("這是子圖標題")
# 獲取默認窗口標題
current_title = fig.canvas.manager.window.windowTitle()
print("默認窗口：",current_title)
# 設置窗口標題方式一
fig.canvas.set_window_title("這是窗口標題")
# 設置窗口標題方式二
fig.canvas.manager.window.setWindowTitle("這是窗口標題")

plt.show()

import matplotlib.pyplot as plt

plt.rcParams['font.sans-serif'] = 'SimHei'

fig = plt.figure()
plt.subplot(1, 2, 1)
plt.plot([1,2,3,4], [1,4,9,16], "go") 
# 設置子圖1標題
plt.title("子圖1標題")

plt.subplot(122)
plt.plot([1,2,3,4], [1,4,9,16], "r^") # r^ 表示 紅色(red)三角
# 設置子圖2標題
plt.title("子圖2標題")
# 設置圖像標題
plt.suptitle("圖像標題")
# 設置窗口標題
#fig.canvas.set_window_title("這是窗口標題")
fig.canvas.manager.window.setWindowTitle("這是窗口標題")

plt.show()

import matplotlib.pyplot as plt

plt.rcParams['font.sans-serif'] = 'SimHei'

fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(6,6))
ax[0].plot([1,2,3,4], [1,4,9,16], "go") 
# 設置子圖1標題
ax[0].set_title("子圖1標題") 
ax[1].plot([1,2,3,4], [1,4,9,16], "r^") 
# 設置子圖2標題
ax[1].set_title("子圖2標題") 
# 設置圖像標題
plt.suptitle("圖像標題")
# 設置窗口標題
fig.canvas.manager.window.setWindowTitle("這是窗口標題")

plt.show()

class FigureManagerQT(FigureManagerBase):
  def set_window_title(self, title):
    self.window.setWindowTitle(title)

  def suptitle(self, t, **kwargs):
    """
    Add a centered title to the figure.

    Parameters
    ----------
    t : str
      The title text.

    x : float, default 0.5
      The x location of the text in figure coordinates.

    y : float, default 0.98
      The y location of the text in figure coordinates.

    horizontalalignment, ha : {'center', 'left', right'}, default: 'center'
      The horizontal alignment of the text relative to (*x*, *y*).

    verticalalignment, va : {'top', 'center', 'bottom', 'baseline'}, \
default: 'top'
      The vertical alignment of the text relative to (*x*, *y*).

    fontsize, size : default: :rc:`figure.titlesize`
      The font size of the text. See `.Text.set_size` for possible
      values.

    fontweight, weight : default: :rc:`figure.titleweight`
      The font weight of the text. See `.Text.set_weight` for possible
      values.

    Returns
    -------
    text
      The `.Text` instance of the title.

    Other Parameters
    ----------------
    fontproperties : None or dict, optional
      A dict of font properties. If *fontproperties* is given the
      default values for font size and weight are taken from the
      `.FontProperties` defaults. :rc:`figure.titlesize` and
      :rc:`figure.titleweight` are ignored in this case.

    **kwargs
      Additional kwargs are `matplotlib.text.Text` properties.

    Examples
    --------
    >>> fig.suptitle('This is the figure title', fontsize=12)
    """

def title(label, fontdict=None, loc=None, pad=None, *, y=None, **kwargs):
  return gca().set_title(
    label, fontdict=fontdict, loc=loc, pad=pad, y=y, **kwargs)

Axes.set_title(self, label, fontdict=None, loc=None, pad=None, *, y=None, **kwargs):
  """
  Set a title for the axes.

  Set one of the three available axes titles. The available titles
  are positioned above the axes in the center, flush with the left
  edge, and flush with the right edge.

  Parameters
  ----------
  label : str
    Text to use for the title

  fontdict : dict
    A dictionary controlling the appearance of the title text,
    the default *fontdict* is::

      {'fontsize': rcParams['axes.titlesize'],
      'fontweight': rcParams['axes.titleweight'],
      'color': rcParams['axes.titlecolor'],
      'verticalalignment': 'baseline',
      'horizontalalignment': loc}

  loc : {'center', 'left', 'right'}, default: :rc:`axes.titlelocation`
    Which title to set.

  y : float, default: :rc:`axes.titley`
    Vertical axes loation for the title (1.0 is the top). If
    None (the default), y is determined automatically to avoid
    decorators on the axes.

  pad : float, default: :rc:`axes.titlepad`
    The offset of the title from the top of the axes, in points.

  Returns
  -------
  `.Text`
    The matplotlib text instance representing the title

  Other Parameters
  ----------------
  **kwargs : `.Text` properties
    Other keyword arguments are text properties, see `.Text` for a list
    of valid text properties.
  """

import matplotlib.pyplot as plt

plt.rcParams['font.sans-serif'] = 'SimHei'

fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(6,6))
ax[0].plot([1,2,3,4], [1,4,9,16], "go") 
ax[1].plot([1,2,3,4], [1,4,9,16], "r^") 

print(plt.gca())
print(ax[0],ax[1])