specs=[[{"type":"polar"}, {"type":"bar"}]], subplot_titles=("产品性能雷达图","综合得分对比") )# 添加雷达图fig.add_trace( go.Scatterpolar( r=values1, theta=categories, fill='toself', name='产品A', line=dict(color='rgba(0, 128, 0, 0.7)') ), row=1, col=1) fig.add_t...
所谓的绘制子图就是将一个画布分为多个区域,每个区域展示各自的图表。 # 创建子图使用make_subplotsfrom plotly.subplots import make_subplotstrace0 = go.Scatter(x=[1, 2, 3, 4, 5],y=[1, 2, 3, 4, 5])trace1 = go.Scatter(x=[2, 3, 4, 5, 6],y=[2, 3, 4, 5, 6])trace2 = go...
从Plotly 4.0.0 开始,您可以将主轴标题分别添加为 x_title 和 y_title: from plotly.subplots import make_subplots fig = make_subplots(rows=2, cols=2, x_title='Your master x-title', y_title='Your master y-title', subplot_titles=('Subplot title1', 'Subplot title2', 'Subplot title3', ...
# 创建子图 fig = sp.make_subplots(rows=2, cols=1, shared_xaxes=True, subplot_titles=['Subplot 1', 'Subplot 2']) fig.add_trace(go.Scatter(x=x, y=y1, mode='lines+markers', name='Trace 1'), row=1, col=1) fig.add_trace(go.Scatter(x=x, y=y2, mode='lines+markers', name...
fromplotly.subplotsimportmake_subplotsimportplotly.graph_objectsasgo# 创建子图布局fig=make_subplots(rows=1,cols=2,subplot_titles=('子图 1','子图 2'))# 添加数据到子图 1fig.add_trace(go.Scatter(x=[1,2,3,4],y=[10,11,12,13],mode='lines+markers',name='子图 1 数据'),row=1,col=1)...
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 2']) fig.add_trace(go.Scatter(x=x, y=y1, mode='lines+markers', name='Trace 1'), row=1, col=1) ...
subplot_titles=("子图1", "子图2", "子图3", "子图4"), # 子图标题 specs=[[{}, {}], [{}, {"type": "pie"}]] # 每个子图的类型 ) # 添加子图1:散点图 trace1 = go.Scatter(x=[1, 2, 3], y=[4, 5, 6], mode="markers", name="散点图") ...
如何在 plotly 中设置线条的颜色? import plotly.graph_objects as go from plotly.subplots import make_subplots fig = make_subplots(rows=2, cols=1, subplot_titles=('Plot 1', 'Plot 2')) # plot the first line of the first plot fig.append_trace(go.Scatter(x=self.x_axis_pd, y=self.y_...
这里是我的代码: title = 'Price over time' err = 'Price' fig = make_subplots(rows=2, cols=1, vertical_spacing = 0.05, shared_xaxes=True, subplot_titles=(title,"")) # A fig.add_trace(go.Scatter(x= A_error['CloseDate'], y = A_error[err], line_color = 'green', marker_...
pip install plotly 接下来,就来一起学习下~ 01 基本线条图 import plotly.graph_objects as go import numpy as np # 生成示例数据 x = np.linspace(0, 10, 100) y = np.sin(x) # 创建一个基本的线条图 fig = go.Figure(data=go.Scatter(x=x, y=y, mode='lines')) ...