'value':100}},title={"text":"Value 1"},domain={'x':[0,0.5],'y':[0,1]}))# 第二...
importplotly.graph_objectsasgoimportnumpyasnp# Generate sample datax=np.linspace(-5,5,100)y=np.linspace(-5,5,100)x,y=np.meshgrid(x,y)z=np.sin(np.sqrt(x**2+y**2))# Create a 3D surface plotfig=go.Figure(data=[go.Surface(z=z,x=x,y=y)])# Add title and labelsfig.update_l...
import plotly.graph_objects as go fig = go.Figure() fig.add_trace(go.Bar(x=["Apple", 'Mango', 'Banana'], y=[400, 300, 500])) fig.update_layout( title=go.layout.Title( text="Plot Title <br><sup>Plot Subtitle</sup>", xref="paper", x=0 ), xaxis=go.layout.XAxis( title=...
首先，让我们创建一个简单的折线图：import plotly.graph_objects as goimport numpy as np# Generate sample datax = np.linspace(0, 10, 100)y = np.sin(x)# Create a basic line plotfig = go.Figure(data=go.Scatter(x=x, y=y, mode='lines'))# Add title and labelsfig.update_layout(title...
fig=go.Figure(go.Scatter(y=[3,1,4],x=["Mon","Tue","Wed"]))fig.update_layout(={'text':"Plot Title",# 标题名称'y':0.9,# 位置,坐标轴的长度看做1'x':0.5,'xanchor':'center',# 相对位置'yanchor':'top'})fig.show()
x=np.linspace(0,10,100)y=np.sin(x)# Create a basic line plot fig=go.Figure(data=go.Scatter(x=x,y=y,mode='lines'))# Add title and labels fig.update_layout(title='Basic Line Plot',xaxis_title='X-axis',yaxis_title='Y-axis')# Show the plot ...
= x_)_x = ['商家A','商家B'] # 系列名data = {'index':x_}for i in _x: data[i] = df[i].tolist()# 生成数据，数据格式为dictsource = ColumnDataSource(data=data)# 将数据转化为ColumnDataSource对象p = figure(x_range=x_, y_range=(0, 150), plot_height=350, title="bok...
# method 1p = plot_ly(data = data1,x = ~Animals,type ="bar", y = ~LA_Zoo,name ="LA_Zoo") %>%add_trace(y = ~SF_Zoo,name ="SF_Zoo") %>%layout(yaxis =list(title ="Count"),barmode ="group")# layout()函数中的yaxis传入列表指定y坐标轴的...
fig.update_layout(title='Basic Line Plot',xaxis_title='X-axis',yaxis_title='Y-axis')# 显示图表 fig.show() 复制 使用Plotly创建一个简单的线条图。 使用NumPy生成样本数据,然后使用Plotly的go.Scatter创建线条图。 02 带有颜色渐变的散点图
通过plotly绘制图形:(红框的代码在绘图之前作为默认模块进行载入即可,由于是交互式的图像,需要进行请求一些js内容以及初始化设置,绘图的模式会分为内嵌交互模式iplot()和网页交互模式plot()) 对比上方两个图像,使用Matplotlib绘图的过程很干脆简洁,直接给定两个列表,然后plt.pl...