fig.update_layout(title='Animated Line Plot',xaxis_title='X-axis',yaxis_title='Y-axis',updatemenus=[dict(type='buttons',showactive=False,buttons=[dict(label='Play',method='animate',args=[None,dict(frame=dict(du
Bar( x=["Apples", "Oranges", "Watermelon", "Pears"], y=[3, 2, 1, 4] )) fig.update_layout( autosize=False, width=1000, height=800, yaxis=dict( title_text="Y-axis Title", ticktext=["Very long label", "long label", "3", "label"], tickvals=[1, 2, 3, 4], tickmode...
importplotly.graph_objectsasgo# 生成示例数据x = [1,2,3,4,5] y = [10,11,12,13,14]# 创建自定义柱状图fig = go.Figure(data=go.Bar(x=x, y=y, marker_color='orange'))# 自定义配置fig.update_layout(title='Customized Bar Chart', xaxis_title='X-axis', yaxis_title='Y-axis', font...
Plotly中的Plotly Express Plotly Express是提供了一种更加高级的API来创建graph object. 我们还是使用上面的绘制bar的例子来进行说明. # 创建数据集 data_test = pd.DataFrame([[1,1],[2,3],[3,2]], columns=['x','y']) # 进行绘图 fig = px.bar(data_test, x='x', y='y') fig.update_layo...
添加上标题和注解，代码如下# create figurefig = go.Figure()# 绘制图表fig.add_trace(go.Bar(x=...
import plotly.graph_objects as go # 生成示例数据 x = [1, 2, 3, 4, 5] y = [10, 11, 12, 13, 14] # 创建自定义柱状图 fig = go.Figure(data=go.Bar(x=x, y=y, marker_color='orange')) # 自定义配置 fig.update_layout(title='Customized Bar Chart', xaxis_title='X-axis', yax...
yaxis= dict(title= 'Mean House Values',ticklen= 5,zeroline= False)) fig = go.Figure(data = data, layout = layout) url = py.plot(fig, validate=False) 使用go.Bar()创建一个条形图类型的图表。使用go.Layout()函数,我们可以指定 一些重要的信息,例如barmode = "group"可以按年度分组不同的bar...
line=dict(color=EDGE_COLOR), fillcolor=color, layer='below') for x, y, color in zip(data['X'], data['Y'], colors)]fig.update_layout(shapes=shapes)# Add the invisible trace for the colorbar first,# disabling its hover info so it never catches the pointer:fig.add_trace(...
(showscale=True,colorscale='YlGnBu',size=10,colorbar=dict(thickness=15,title='Node Connections',xanchor='left',titleside='right'),line_width=2))# 添加节点数据fornodeinG.nodes(data=True):x,y=pos[node[0]]node_trace['x']+=[x]node_trace['y']+=[y]node_trace['text']+=[node[1]...
data=[go.Bar(y=[2,1,3])], layout_title_text="A Figure Displayed with fig.show()" ) fig.show() 调整样式 样式是指颜色、字体、线型、填充等属性。你可以通过修改图形对象的样式属性来调整它们。例如: import plotly.graph_objectsas go