基础图形: scatter, line, area, bar, funnel, timeline部分到整体图表: pie, sunburst, treemap, funnel_area一维分布图: histogram, box, violin, strip二维分布图: density_heatmap, density_contour矩阵的输入图: imshow三维图: scatter_3d, line_3d多维图: scatter_matrix, parallel_coordinates, parallel_ca...
data=np.random.normal(size=1000) 然后我们来绘制直方图,调用的是Histogram()方法,代码如下: #创建画布 fig=go.Figure() #绘制图表 fig.add_trace( go.Histogram(x=data,hovertemplate="<b>BinEdges:</b>%{x}<br><b>Count:</b>%{y}<extra></extra>") ) fig.update_layout( height=600, width=6...
import plotly.express as px # Create a histogram fig = px.histogram(olympic_data.age, x="age", title="Distribution of Athletes age") fig.show() Figure 3: A histogram created using Plotly Express We also have the option to use Graph Objects. ...
fig = px.histogram(df, x='total_bill', nbins=20, title='Histogram of Total Bill') fig.show() The above code produces the following result −17. HeatmapsHeatmaps use colors to represent matrix values.fig = go.Figure(data=go.Heatmap(z=Z, x=x, y=y)) fig.show() ...
Plotly是一个用于创建交互式图表的Python库,它支持多种图表类型,如折线图、散点图、饼图、热力图等。Plotly的特点如下: 高度可定制:用户可以根据需要调整图表的各种属性,如颜色、字体、轴标签等,以创建符合需求的可视化效果。 交互性:生成的图表具有交互性,用户可以通过鼠标悬停、拖动、缩放等操作查看数据详情和变化趋...
graph_objects as go 上面介绍了两种Plotly中绘图的接口: plotly_express:通常是简写为px plotly.graph_objects:通常简写为go 内置数据集 在Plotly中内置了非常多的数据集,当我们导入了之后可以直接使用: 1、内置GDP数据集 gapminder = px.data.gapminder() gapminder.head() # 查看前5行数据 2、餐厅...
import plotly.graph_objects as go import numpy as np x0 = np.random.randn(500) # Add 1 to shift the mean of the Gaussian distribution x1 = np.random.randn(500) + 1 fig = go.Figure() fig.add_trace(go.Histogram(x=x0)) fig.add_trace(go.Histogram(x=x1)) # Overlay both histogr...
A histogram is probably the very first visual people learn. It orders the values of a distribution and puts them into bins. Then, bars are used to represent how many values fall into each bin: import plotly.express as px fig = px.histogram( diamonds, x="price", title="Histogram ...
import plotly.express as px import plotly.graph_objects as go import pandas as pd df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv') # 1、生成直方图 fig = px.histogram( df, x="Date", y="AAPL.Open", histfunc="avg", title="直方图...
# fig.add_trace(go.Bar(x=df['Date'], y=df["Flag"],name='Histogram', marker_color="green")) In [31]: # 绘制MACD曲线图 trace1 = go.Scatter(x=df['Date'], y=df['MACD'], mode='lines', name='MACD Line') trace2 = go.Scatter(x=df['Date'], y=df['Signal_Line'], mode...