Scatter:坐标分布图,包括散点图和线形图 三、线形图和散点图 (一)、说明 线形图又称为曲线图,是最常用的图形类型。与传统的绘图软件不同,Plotly没有独立的线形图函数,而是把线形图与散点图全部用Scatter函数实现; 填充线形图是线形图的一种衍生,除了显示本身的线条值,每个数据点还显示该节点的最大值和最...
trace1 = go.Scatter(x=[1, 2, 3], y=[4, 5, 6], mode="markers", name="散点图") fig.add_trace(trace1, row=1, col=1) # 添加子图2:柱状图 trace2 = go.Bar(x=[1, 2, 3], y=[2, 3, 1], name="柱状图") fig.add_trace(trace2, row=1, col=2) # 添加子图3:折线图 t...
fig.add_trace(trace1, row=1, col=1) # 添加子图2:柱状图 trace2 = go.Bar(x=[1, 2, 3], y=[2, 3, 1], name='柱状图') fig.add_trace(trace2, row=1, col=2) # 添加子图3:折线图 trace3 = go.Scatter(x=[1, 2, 3], y=[10, 8, 9], mode='lines', name='折线图') fig...
pad:图中空白分隔空隙的大小; thickness:图中节点的宽度(每个连接处的长方形); line:每个节点的边框线的颜色和粗细; label:每个节点的名字(包含一层/二层/三层…); color:每个节点的颜色(和名字按照索引相对应) link...
zeroline = false , # 是否绘制x=0,y=0的线 zerolinecolor = "#444" , # 零线的颜色 zerolinewidth = 1 , # 零线的宽度 side = "bottom" # 轴线的位置:"top" | "bottom" | "left" | "right" ) p1 <- plot_ly ( x = - 2 : 5 , y = - 2 : 5 , type = 'scatter' ) p2 <-...
参数line 里面还可以指定折线的种类,是虚线、实线等等之类的。 trace0 = go.Scatter(x=covid_19_deaths["date"],y=covid_19_deaths["count"],line={"width": 3,"color": "rgba(255, 30, 186, 1)","dash": "dot" # 指定为虚线})fig = go.Figure(data=[trace0],layout={"template": "plotl...
line=dict(color='royalblue', width=4, dash='solid') ) ) fig.add_trace(go.Scatter(y=df_rain.groupby('WindDir3pm')['Rainfall'].mean(), x=WINdIR, name = 'Wind dir. 9am', line=dict(color='skyblue', width=2, dash='dot') ) ) fig.add_trace(go.Scatter(y=df_rain.groupby('Win...
trace0 = go.Scatter( x=x, y=y0, mode="markers", name="散点图", marker={ # 点的大小 "size":8, # 点的颜色 "color":"rgba(102, 198, 147, 0.7)", # 除此之外,还可以设置点的轮廓 "line": { # 线条大小 "width":10, # 线条的颜色 ...
def hline_annotation_dict(text): return dict(font=dict(color="black",size=12), showarrow=False, text=text) fig = make_subplots(rows=2, cols=1, shared_xaxes=True, vertical_spacing=0.02, row_heights=[.7, .3]) fig.add_trace(go.Scatter(x=df_mean.index, y=df_mean, line=dict(colo...
fig.add_trace(go.Scatter( x=x,y=y, mode='markers', name='measured', error_y=dict( type='constant', value=0.1, color='green', thickness=1.5, width=3, ), error_x=dict( type='constant', value=0.2, color='blue', thickness=1.5, ...