def diplay_graph_degree(G): seq_degree = sorted((d for n, d in G.degree()), reverse=True) dmax = max(seq_degree) fig = plt.figure("Degree of the count graph", figsize=(8, 8)) # Create a gridspec for adding subplots of different sizes axgrid = fig.add_gridspec(5, 4) ax0...
fig = plt.figure("Degree of the count graph", figsize=(8, 8)) # Create a gridspec for adding subplots of different sizes axgrid = fig.add_gridspec(5, 4) ax0 = fig.add_subplot(axgrid[0:3, :]) Gcc = G.subgraph(sorted(nx.connected_components(G), key=len, reverse=True)[0]) ...
AI代码解释 # Import the image and convert toRGBimg=cv2.imread('text.jpg')img=cv2.cvtColor(img,cv2.COLOR_BGR2RGB)# Plot the imagewithdifferent kernel sizes kernels=[5,11,17]fig,axs=plt.subplots(nrows=1,ncols=3,figsize=(20,20))forind,sinenumerate(kernels):img_blurred=cv2.blur(img,ksi...
# Import Data df = pd.read_csv("https://raw.githubusercontent.com/selva86/datasets/master/mpg_ggplot2.csv") # Draw Stripplot fig, ax = plt.subplots(figsize=(16,10), dpi=80) sns.stripplot(df.cty, df.hwy, jitter=0.25, size=8, ax=ax, linewidth=.5) # Decorations plt.title('Use ...
(nrows=2, ncols=3, figsize=(15, 30), subplot_kw={'xticks': [], 'yticks': []}) fig.subplots_adjust(hspace=0.05, wspace=0.05) for ax, interp_method in zip(axes.flat, methods): ax.imshow(im, interpolation=interp_method) ax.set_title(str(interp_method), size=20) plt.tight_...
(num_categories),num_points)# 点的大小sizes=np.random.choice([9,18,27,36],num_categories*num_points)# 为每个点指定颜色值,这里我们简单地使用点的大小作为颜色值colors=sizes# 创建图形fig,ax=plt.subplots(figsize=(8,6))# 绘制散点图scatter=ax.scatter(x_values,y_values,s=sizes*10,c=colors...
fig1, (ax1, ax2) = plt.subplots(2) ax1.pie(sizes, labels=labels, autopct=‘%1.1f%%’, shadow=True) ax1.axis(‘equal’) ax2.pie(sizes, autopct=‘%1.2f%%’, shadow=True, startangle=90, explode=explode, pctdistance=1.12) ax2.axis(‘equal’) ...
(im, edge_laplace_kernel), 0, 1)fig, axes = pylab.subplots(ncols=3, sharex=True, sharey=True, figsize=(18, 6))axes[0].imshow(im, cmap=pylab.cm.gray)axes[0].set_title('Original Image', size=20)axes[1].imshow(im_blurred, cmap=pylab.cm.gray)axes[1].set_title('Box Blur',...
# Import Data df = pd.read_csv("https://raw.githubusercontent.com/selva86/datasets/master/mpg_ggplot2.csv") df_counts = df.groupby(['hwy', 'cty']).size().reset_index(name='counts') # Draw Stripplot fig, ax = plt.subplots(figsize=(16,10), dpi= 80) sns.stripplot(df_counts.ct...
# Plot the image with different kernel sizes kernels = [5,11,17] fig, axs = plt.subplots(nrows =1, ncols =3, figsize = (20,20)) forind, sinenumerate(kernels): img_blurred = cv2.blur(img, ksize = (s, s)) ax = axs[ind] ...