importmatplotlib.pyplotaspltimportnumpyasnpfromIPython.displayimportset_matplotlib_formats# 设置notebook以支持矢量图形set_matplotlib_formats('svg')# 创建数据x=np.linspace(0,4*np.pi,1000)y=np.sin(x)*np.cos(2*x)# 创建图形fig,ax=plt.subplots(figsize=(10,6))ax.plot(x,y,label='C...
importmatplotlib.pyplotaspltimportnumpyasnpdefcreate_complex_plot(rasterized=False):fig,ax=plt.subplots(figsize=(8,6))# 创建复杂的线图x=np.linspace(0,10,10000)y=np.sin(x)+np.random.normal(0,0.1,10000)line,=ax.plot(x,y,linewidth=0.5,label='how2matplotlib.com')ifrasterized:line.set_rast...
from IPython import display def use_svg_display(): # 用矢量图显示 display.set_matplotlib_formats('svg') def set_figsize(figsize=(3.5, 2.5)): use_svg_display() # 设置图的尺寸 plt.rcParams['figure.figsize'] = figsize set_figsize() # 加分号只显示图 plt.scatter(features[:, 1].numpy()...
importmatplotlib.pyplotasplt# 创建一个新的Figure对象fig=plt.figure(figsize=(6,4))# 设置DPI为150fig.set_dpi(150)# 添加一些数据plt.plot([1,2,3,4],[1,4,2,3],label='Data from how2matplotlib.com')plt.title('Simple Plot with Custom DPI')plt.xlabel('X-axis')plt.ylabel('Y-axis')pl...
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font.family mathtext.fontset font.serif TTF OTF WOFF EOT SVG Web 开放字体格式 字体家族 字体族 衬线serif 无衬线 sans-serif 非衬线体 基础知识: 1、操作系统中的字体文件位置: C:\Windows\Fonts linux (Dockerfile中的命令) COPY kpr_draw_img/matplotlib_font/simsun.ttc /usr/share/fonts...
scipy and matplotlib are used extensively. These should generally be easily installed with the linux system's package manager. In some cases, like if you are not a system administrator or if any of these packages are not available in your system's package manager, they could alternatively be ...
if backend == "matplotlib": # fig.suptitle(title) fig.text(0.5, -0.08, x_label, ha="center", fontdict={"size": 16}) Expand Down Expand Up @@ -112,5 +112,5 @@ # %% img_name = f"cumulative-{'-'.join(metrics).lower()}" save_fig(fig, f"{FIGS}/{img_name}.svelte") sav...
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-o, --output TEXT File name to save the histogram (optional: with no file name, simply display the histogram on screen without saving it; recommended file formats: .png, .pdf, .svg or any format supported by matplotlib). -h, --help Show this message and exit. ...