创建Figure: fig = plt.figure(figsize=(width, height), dpi=dots_per_inch, ...). figsize: 设置 Figure 的尺寸 (宽度和高度,单位英寸)。 dpi: 设置分辨率 (每英寸点数)。 其他常用参数:facecolor (背景颜色), edgecolor (边框颜色), linewidth (边框线宽) 等。 获取当前 Figure: fig = plt.gcf()...
你将在这一章中获得的有价值的知识是其余章节的基础。由于这是一个广泛的生态系统的介绍性章节,所以我把它写得简短而实用。 NumPy 和 Ndarrays NumPy 是 Python 中数值计算的基础包。我们可以用它来进行数值计算。NumPy 库最有用的特性是被称为Ndarray的多维容器数据结构。 Ndarray 是包含具有相同数据类型和大小的...
ax_main = fig.add_subplot(grid[:-1, :-1]) ax_right = fig.add_subplot(grid[:-1, -1], xticklabels=[], yticklabels=[]) ax_bottom = fig.add_subplot(grid[-1, 0:-1], xticklabels=[], yticklabels=[]) # Scatte...
fig=plt.figure()ax=fig.add_subplot(111)x=np.random.randn(1000)ax.hist(x,30)ax.set_title(r'$\sigma=1 \/ \dots \/ \sigma=2$',fontsize=16)# the x coordsofthistransformation are data,and the # y coord are axes trans=transforms.blended_transform_factory(ax.transData,ax.transAxes)#...
2,'b^:')# blue line with dotsplt.plot(x, x** 3,'go-.')# green dashed lineplt.show() 点线的设置 三种设置方式 对实例使用一系列的setter方法 x = np.arange(0,10) y = np.random.randint(10,30,size =10) line,= plt.plot(x, y) ...
matplotlib.pyplot.figure() 返回一个图形对象，这个对象可以用来使用 add_subplot() 方法向图中添加子图...
(y=df.index, xmin=0, xmax=40, color='gray', alpha=0.5, linewidth=.5, linestyles='dashdot') # Draw the Dots for i, make in enumerate(df.manufacturer): df_make = df_raw.loc[df_raw.manufacturer == make, :] ax.scatter(y=np.repeat(i, df_make.shape[0]), x='cty', data=...
2.dpi=None–The resolution of the figure in dots-per-inch. 3.facecolor–The background color 4.edgecolor–The border color 5.frameon–If False, suppress drawing the figure frame. 6.FigureClass=<class ‘matplotlib.figure.Figure’>, 7.clear=False, If True and the figure already exists, then...
ax = fig.add_subplot(111) x = np.random.randn(1000) ax.hist(x,30) ax.set_title(r'$\sigma=1 \/ \dots \/ \sigma=2$', fontsize=16)# the x coords of this transformation are data, and the# y coord are axestrans = transforms.blended_transform_factory( ...
Add an entry to a dictionary of boolean flags that are set to True when the mappable is changed. aname autoscale(self) Autoscale the scalar limits on the norm instance using the current array autoscale_None(self) Autoscale the scalar limits on the norm instance using the current array, ...