x=np.random.rand(50)y=np.random.rand(50)fig,ax=plt.subplots()scatter=ax.scatter(x,y,c='red',s=50)scatter.set_label('Random Points - how2matplotlib.com')ax.legend()plt.title('Scatter Plot with Label')plt.show() Python Copy Output: 在这个例子中,我们创建了一个散点图,并为散点...
import matplotlib.pyplot as plt from matplotlib.font_manager import FontProperties #字体管理器 #设置汉字格式 font = FontProperties(fname=r"c:\windows\fonts\simsun.ttc", size=15) #画出散点图,散点颜色为红色,大小为20,透明度为0.7 plt.scatter([1, 2, 3, 4, 5, 6], [2, 3, 4, 6, 9, ...
Color Space Distribution:A 3D scatter plot that visualizes the color space distribution of the input images. Each point in the plot represents a unique color space, with its position determined by the mean values of the red, green, and blue channels. The size of the points indicates the fre...
plt.ylabel(labels[1])# plot data points.plt.scatter(x,y,c=z,s=60, alpha =0.7, edgecolors ="none") plt.xlim(x.min(),x.max()) plt.ylim(y.min(),y.max()) plt.show() 开发者ID:Alkesten,项目名称:Python-Numerics,代码行数:28,代码来源:contour_irregular_data.py 示例9: draw ▲点...
def plot_decision_boundary(): # 生成一些随机数据 np.random.seed(0) X = np.random.rand(100, 2) y = (X[:, 0] + X[:, 1] > 1).astype(int) # 绘制数据点 plt.scatter(X[y == 0][:, 0], X[y == 0][:, 1], color='red', label='Class 0') ...
frameon=False, loc='lower right', scatterpoints=1)# Plot a colorbar for the CR energies.cb_ax = plt.axes([0.25,.1,.5,.03], frameon=False)# rect=L,B,W,H#bar = ColorbarBase(cb_ax, cmap=cmap, orientation='horizontal', drawedges=False)vals = np.linspace(Evals.min(), Evals.max...
plt.scatter(x, y) plt.show() def plot_line(w, b, title_name): plt.title(title_name) plt.xlabel('x') plt.ylabel('y') x = np.linspace(0.0, 2.0, num=100) y = w * x + b plt.plot(x, y) plt.show() plot_points(train_X, train_Y, title_name='Training Points') ...
Anchor-free and anchor-based models were trained on subsets of the full LIVECell training set, evenly selected across cell types and time points, and evaluated on the complete LIVECell-wide test set. This revealed that the segmentation AP monotonically increased with training set size without ...
Tips 整理一下关于绘图的基本设置,主要包括: 自定义legend 二维图tick的长度和粗细 孪生x轴、y轴 设置二维图边框粗细 给三维图添加边框 设置三维图背景颜色为白色 三维图tick的长度和粗细 legend # 自定义legendlenline1=mlines.Line2D([],[],color='r',marker='s',linewidth=0.85,markersize=5,label='Learni...
true_dist.scatter_(1, torch.LongTensor(index.unsqueeze(1)), confidence) # 必须要torch.LongTensor() return true_dist true_labels = torch.zeros(2, 5) true_labels[0, 1], true_labels[1, 3] = 1, 1 print('标签平滑前:\n', true_labels) ...