figure_or_data:传入plotly.graph_objs.Figure、plotly.graph_objs.Data、字典或列表构成的,能够描述一个graph的数据 show_link:bool型,用于调整输出的图像是否在右下角带有plotly的标记 link_text:str型输入,用于设置图像右下角的说明文字内容(当show_link=True时),默认为'Export to plot.ly' image:str型或None...
10,100)y=np.sin(x)# Create a basic line plotfig=go.Figure(data=go.Scatter(x=x,y=y,mode...
import plotly.graph_objs as go import numpy as np # 创建随机数据 np.random.seed(123) x = np.random.randn(100) y = np.random.randn(100) # 创建散点图 fig = go.Figure(data=go.Scatter(x=x, y=y, mode='markers')) # 设置图表标题和轴标签 fig.update_layout(title='Random Scatter Pl...
importplotlyimportplotly.graph_objsasgoimportnumpy pyplt = plotly.offline.plot#使用离线模式N =100random_x = numpy.linspace(0,1, N) random_y0 = numpy.random.randn(N)+5random_y1 = numpy.random.randn(N) random_y2 = numpy.random.randn(N)-5trace0 = go.Scatter( x = random_x, y = r...
pyplt(data, filename='tmp/line.html') 我们会得到如下图所示的线形图 下面我们把线性图,和散点图合到一起 importplotlyimportplotly.graph_objs as goimportnumpy pyplt= plotly.offline.plot#使用离线模式N = 100random_x= numpy.linspace(0, 1, N) ...
kdeplot Area chart express area matplotlib.pyplot.stackplot Dot graph express scatter stripplot Scatter plot express scatter scatterplot Bubble chart express scatter with color and size attributes scatterplot with size attribute Radar chart express line_polar matplotlib.pyplot figure Pictogram graph_objects...
import plotly.graph_objects as go import numpy as np x = np.linspace(0, 10, 100) y = np.sin(x) fig = go.Figure(data=go.Scatter(x=x, y=y, mode='lines')) fig.update_layout(title='Basic Line Plot', xaxis_title='X-axis', yaxis_title='Y-axis') ...
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...
importplotly.graph_objects as goimportpandas as pd#load datasetdf = pd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/volcano.csv")#create figurefig =go.Figure()#Add surface tracefig.add_trace(go.Surface(z=df.values.tolist(), colorscale="Viridis"))#Update plot sizing...
绘制面积图与绘制散点图和折线图的画法类似,使用plotly graph_objs 中的Scatter函数,不同之处在于面积图对fill属性的设置 也就是说,相当于是在折线图的基础上,对图形进行填充 importplotly as pyimportplotly.graph_objs as goimportnumpy as np pyplt=py.offline.plot#随机生成100个交易日的收益率s1 = np.ran...