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()
print(f"Default figure size: {plt.rcParams['figure.figsize']}") # 修改默认图形尺寸 plt.rcParams['figure.figsize'] = [8, 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 ...
from matplotlib import rcParams>>> rcParams...'axes.grid': False,'axes.grid.axis': 'both','axes.grid.which': 'major','axes.labelcolor': 'black','axes.labelpad': 4.0,'axes.labelsize': 'medium','axes.labelweight': 'normal','axes.linewidth': 0.8,...rcParams['figure.figsize'] =...
importmatplotlib.pyplotaspltimportnumpyasnp# 将厘米转换为英寸cm_to_inch=1/2.54# 创建一个 20x15 厘米的图形plt.figure(figsize=(20*cm_to_inch,15*cm_to_inch))x=np.linspace(0,10,100)y=np.sin(x)+np.random.normal(0,0.1,100)plt.scatter(x,y)plt.title('Figure size in centimeters - how...
from matplotlib.backends.backend_gtkaggimportFigureCanvasGTKAggasFigureCanvas from matplotlib.backends.backend_gtkaggimportNavigationToolbar2GTKAggasNavigationToolbar win=gtk.Window()win.connect("destroy",lambda x:gtk.main_quit())win.set_default_size(400,300)win.set_title("Embedding in GTK")vbox=gt...
rcParams['figure.figsize'] = 8, 6 rcParams['legend.fontsize'] = "large" rcParams['xtick.major.size'] = 4 rcParams['xtick.minor.size'] = 1 这时所有的Matplotlib设置,如果你想修改任何的Matplotlib参数,直接修改这个字典就可以了,你甚至可以将他序列化到本地,然后在其他项目中直接加载,这样你的每...
1.基础用法(figure,plot,show) plt.figure:定义一个figure图像窗口,可以有很多小图片 plt.plot:绘制曲线 plt.show:显示图像 import matplotlib.pyplot as plt import numpy as np 1. 2. x = np.linspace(-3,3,50) y1 = 2*x + 1 y2 = x**2 ...
fig = plt.figure(figsize=(6, 5))plt.subplots_adjust(bottom = 0., left = 0, top = 1., right = 1)# 创建第一个轴,左上角的图用绿色的图sub1 = fig.add_subplot(2,2,1) # 两行两列,第一单元格# 创建第二个轴,即左上角的橙色轴sub2 = fig.add_subplot(2,2,2) # 两行两列,第...
plt.figure(figsize=(5, 3)) x = np.linspace(0, 10) y = np.sin(x) plt.plot(x, y) # ticks:刻度值,刻度大小 # labels:显示刻度标签 # ha:水平对齐方式(left,right,center) plt.xticks(ticks=np.arange(0, 11, 1), fontsize=20, color="red") plt.yticks(ticks=[-1, 0, 1], labels...
matplotlib.use('TkAgg')# 重新导入pyplot以应用新后端importmatplotlib.pyplotasplt# 在新图形中显示保存的图像plt.figure()img=plt.imread('semilogy_plot.png')plt.imshow(img)plt.axis('off')# 隐藏坐标轴plt.show()