importplotly.graph_objectsasgofromplotly.subplotsimportmake_subplots# 创建一个包含两个子图的图表fig=make_subplots(rows=2,cols=1,subplot_titles=("子图1","子图2"))# 添加第一个子图的数据fig.add_trace(go.Scatter(x=[1,2,3],y=[4,5,6],mode='lines+markers',name='线图1'),row=1,col=1)...
一、plotly.subplots.make_subplots : 用于布置多图图形的辅助函数 1.1 make_subplots()语法格式 plotly.subplots.make_subplots(rows=1, # 行数 cols=1, # 列数 shared_xaxes=False, # 共享X轴 shared_yaxes=False, # 共享y轴 start_cell='top-left', # 开始子图位置 print_grid=False, # 绘图网格 ho...
1、可视化神经元活动数据 importosimportnumpyasnpimportpickleimportplotly.expressaspximportplotly.graph_objectsasgofromplotly.subplotsimportmake_subplotsimportumap# plot spike datadata_embedding=data_result['data_embedding']fig=px.imshow(np.transpose(data_embedding[0:500,:]))fig.update_layout(title="Spike...
在plotly(Python)的sankey图中显示图例可以通过添加自定义注释来实现。以下是一种实现方法: 首先,导入所需的库和模块: 代码语言:txt 复制 import plotly.graph_objects as go from plotly.subplots import make_subplots 创建一个sankey图的布局: 代码语言:txt ...
import plotly.subplots as sp import plotly.graph_objects as go # 生成示例数据 x = [1, 2, 3, 4, 5] y1 = [10, 11, 12, 13, 14] y2 = [14, 13, 12, 11, 10] # 创建子图 fig = sp.make_subplots(rows=2, cols=1, shared_xaxes=True, subplot_titles=['Subplot 1', 'Subplot ...
4# 方法1,使用subplotsfig = subplots.make_subplots(rows=2, cols=1) fig.append_trace(trace1,1,1)# append和add都可以fig.add_trace(trace2,2,1) 绘制二维散点图/折线图 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
X, y = make_blobs(n_samples=100, centers=3, n_features=2)# scatter plot, dots colored by class value df = DataFrame(dict(x=X[:,0], y=X[:,1], label=y))colors = {0:'red', 1:'blue', 2:'green'} fig, ax = pyplot.subplots()grouped = df....
level of education'].value_counts().sort_index() fig = makesubplots(rows=1 cols=2, specs=[[dict(type='domain'),{ 'type':'domain'}]]) fig.add_pie( values=total_count.values, hole0.4, labels=total_count.index row=1, col=1, name='整体学生父母教育程度' ) fig.add_pie(...
1importmatplotlib.pyplot as plt2importnumpy as np34np.random.seed(19680801)5data = np.random.randn(2, 100)67fig, axs = plt.subplots(2, 2, figsize=(5, 5))8axs[0, 0].hist(data[0])9axs[1, 0].scatter(data[0], data[1])10axs[0, 1].plot(data[0], data[1])11axs[1, 1]...
存在子图时,Plotly图形是用每一行和每一列索引的,不像matplotlib必须跟踪坐标轴的列表(当n=1时,plt.subplots的调用会生效)。 ### Init plot / subplots ### # mpl fig_mpl, ax = plt.subplots()# plotly fig_plo = plotly.subplots.make_subplots(rows=1, cols=1)### add data ### for i in ran...