5. 使用set_size_inches()方法 对于已经创建的Figure对象,你可以使用set_size_inches()方法来调整其大小。 importmatplotlib.pyplotasplt fig,ax=plt.subplots()ax.plot([1,2,3,4],[1,4,2,3])fig.set_size_inches(10,6)plt.title('Size changed using set_size_inches() - how2matplotlib.com')plt....
6]# 创建一个使用新默认尺寸的图形fig,ax=plt.subplots()ax.plot([1,2,3,4],[1,4,2,3])ax.set_title("How2matplotlib.com - Default Figure Size")plt.show()
It's a shortcut string notation described in the *Notes* section below. >>> plot(x, y) # plot x and y using default line style and color >>> plot(x, y, 'bo') # plot x and y using blue circle markers >>> plot(y) # plot y using x as index array 0..N-1 >>> plot(...
plt.plot(x,y1,color='red',linewidth=1.0,linestyle='--',label='linear line') 1. 2. 添加如下代码 plt.legend(loc='upper right') 1. 下图中的右上角显示了每个图的名称 如果想修改label,除了在plot中修改以外,可以先将图像用变量存储起来 l2, = plt.plot(x,y2,label='square line') l1, = p...
dpi (default: 100.0): 代表每一英寸的打印点个数,即 分辨率。 The resolution of the figure in dots-per-inch. 字体大小 fontsize 是和 point 对应。参见If float, the fontsize in points. 线条粗细也是与 point 对应。参见Set the line width in points. ...
x = np.linspace(0, 2, 100)fig, ax = plt.subplots() # Create a figure and an axes.l1 = ax.plot(x, x, label="linear")l2 = ax.plot(x, x ** 2, label="quadratic")l3 = ax.plot(x, x ** 3, label="cubic")ax.set_title("Simple Plot")plt.show()这很简单，只需在axes...
import matplotlib.pyplot as plt import numpy as np plt.rcParams.update({ 'font.family':'STSong', 'mathtext.fontset':'stix', 'figure.dpi':150 }) x = np.linspace(-2 * np.pi, 2 * np.pi, 100) y = np.sinc(x) fig, ax = plt.subplots(1, 2, figsize=(10, 4)) ax[0].plot(...
['SimSun','Times New Roman'],"font.size":10.5,"mathtext.fontset":'stix',"axes.unicode_minus":False,}plt.rcParams.update(config)# 生成数据x=np.linspace(0,10,100)y=np.exp(-x)# 创建半对数坐标图plt.semilogy(x,y)# 设置标题和标签plt.title('带有负对数坐标的Semilogy Plot')plt.xlabel('...
fig=plt.figure(figsize=(15,6))ax=fig.add_subplot(111,xlim=(2002.5,2021.5),ylim=(0,6.5),yticks=([]))ax.tick_params("x",labelsize="x-small",which="major")ax.set_xticks(np.arange(2003,2022,2))# step2 plt.plot([2002.5,2021.5],[0,0],color="black",linewidth=1.0,clip_on=False...
# 导入库import numpy as npimport matplotlib.pyplot as plt# 调整matplotlib参数plt.rcParams.update(plt.rcParamsDefault)plt.rcParams['text.usetex'] = Trueplt.rcParams['font.size'] = 18plt.rcParams['font.family'] = "serif"# 创建模拟数据r = 15theta = 5rw = 12gamma = 0.1err = np.arange(...