import matplotlib.pyplot as plt def plot(fs, dpi_set): plt.figure(figsize=fs, dpi=dpi_set) plt.title("size:{}, dpi:{}".format(fs, dpi)) plt.plot([0, 1, 2, 3], [3, 4, 2, 5]) plt.savefig(str(fs) + "-" + str(dpi_set) + ".png") if __name__ == "__main__"...
# 绘图 plt.plot(x,y) # 保存图片 # plt.savefig('./1.jpg') # 也可以保存为矢量图格式.svg 放大不会有锯齿 # 设置x轴的刻度 就是将坐标变成我们想要展示的样子 # plt.xticks(x) # 可读的密集和稀疏可以通过调整x的步长 # plt.xticks(range(2,25)) # 可读的密集和稀疏可以通过调整x的步长 plt....
matplotlib + python: figure size for fig.figimage and fig.savefig 0 Issue saving a matplotlib figure Know someone who can answer? Share a link to thisquestionviaemail,Twitter, orFacebook. Post as a guest Name Email Required, but never shown ...
# 使用lambda创建wave函数wave = lambda amp, angle, phase: amp * np.sin(angle + phase)# 设置参数值theta = np.linspace(0., 2 * np.pi, 100)amp = np.linspace(0, .5, 5)phase = np.linspace(0, .5, 5)# 创建主容器及其标题plt.figure()plt.title(r'Wave Function $y = \gamma \sin...
(writing_grade)) plt.boxplot(gdp, notch=True, labels=label, meanline=True) # 绘制箱线图 plt.xlabel('学生考试科目') plt.ylabel('学生考试分数') plt.title('学生各项考试成绩的总体分散情况箱线图', fontsize=20) plt.savefig('学生各项考试成绩的总体分散情况箱线图.png') plt.show() if __...
format(fig.dpi)) print('fig.get_size_inches() = ' + str(fig.get_size_inches()) t = np.arange(-10., 10., 1.) plt.plot(t, t, '.') plt.plot(t, t**2, '.') ax.text(0., 60., 'Hello', fontdict=dict(size=25)) plt.savefig('base.png', format='png') Run: ./...
plt.title('Save Plot Example') plt.savefig('plot.png') plt.show() Saving plots is useful when you need to include them in reports or presentations. Thesavefig()function allows you to specify the filename and format. You can also adjust the resolution and other parameters to suit your nee...
plot(x, np.sin(x), '-') plt.plot(x, np.cos(x), '--'); Figure 4-1. Basic plotting example Saving Figures to File One nice feature of Matplotlib is the ability to save figures in a wide variety of formats. You can save a figure using the savefig() command. For example, to ...
## points to reduce file size and increase rendering ## speed #path.simplify_threshold : 0.111111111111 ## The threshold of similarity below which ## vertices will be removed in the ## simplification process #path.snap : True ## When True, rectilinear axis-aligned paths will be snapped to ...
折线图可以通过plot()函数来绘制 • plt.plot(x, y) # 使用默认的线样式及颜色绘制x,y构建的图形 实例 数据如下,绘制折线图形 • x = [1,2,3,4] • y = [2,3,1,2] import matplotlib.pyplot as plt x = [1,2,3,4] y = [2,3,1,2] ...