Plotly中的Scatter Plots

散点图

效果

代码

import plotly.express as px
fig = px.scatter(x=[0, 1, 2, 3, 4], y=[0, 1, 4, 9, 16])
fig.show()

使用列名设置大小和颜色

效果

代码

import plotly.express as px
df = px.data.iris()
fig = px.scatter(df, x="sepal_width", y="sepal_length", color="species",
                 size='petal_length', hover_data=['petal_width'])
fig.show()

用Plotly Express绘制线图

效果

代码

import plotly.express as px
import numpy as np

t = np.linspace(0, 2*np.pi, 100)

fig = px.line(x=t, y=np.cos(t), labels={'x':'t', 'y':'cos(t)'})
fig.show()

线图和散点图

效果

代码

import plotly.graph_objects as go

# Create random data with numpy
import numpy as np

np.random.seed(1)

N = 100
random_x = np.linspace(0, 1, N)
random_y0 = np.random.randn(N) + 5
random_y1 = np.random.randn(N)
random_y2 = np.random.randn(N) - 5

fig = go.Figure()

# Add traces
fig.add_trace(go.Scatter(x=random_x, y=random_y0,
                         mode='markers',
                         name='markers'))
fig.add_trace(go.Scatter(x=random_x, y=random_y1,
                         mode='lines+markers',
                         name='lines+markers'))
fig.add_trace(go.Scatter(x=random_x, y=random_y2,
                         mode='lines',
                         name='lines'))

fig.show()

悬停数据标签

效果

代码

import plotly.graph_objects as go
import pandas as pd

data = pd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/2014_usa_states.csv")

fig = go.Figure(data=go.Scatter(x=data['Postal'],
                                y=data['Population'],
                                mode='markers',
                                marker_color=data['Population'],
                                text=data['State']))  # hover text goes here

fig.update_layout(title='Population of USA States')
fig.show()

官方文档