随着 Plotly 5.2.1 (2021-08-13)using px.scatter() 的发布,您可以指定:
trendline_scope = 'overall'
情节 1 - trendline_scope = 'overall'
如果趋势线的绿色不符合您的喜好,您可以通过以下方式进行更改:
trendline_color_override = 'black'
情节 2 - trendline_color_override = 'black'
trendline_scope 的另一个选项是 trace,它产生:
情节 3 - trendline_scope = 'trace'
完整代码:
import plotly.express as px
df = px.data.tips()
fig = px.scatter(df, x="total_bill", y="tip",
color="sex",
trendline="ols",
trendline_scope = 'overall',
# trendline_scope = 'trace'
trendline_color_override = 'black'
)
fig.show()
旧版本的上一个答案:
由于您没有特别要求内置的 plotly express 功能,您可以轻松地在px.Scatter() 上构建并使用statsmodels.OLS 和add_traces(go.Scatter()) 获得您想要的:
剧情:
代码:
import plotly.express as px
import plotly.graph_objs as go
import statsmodels.api as sm
value = [15, 20, 35, 40, 48]
years = [2010, 2011, 2012, 2013, 2014]
colors = ['red', 'red', 'blue', 'blue', 'blue']
# your original setup
fig = px.scatter(
x=years,
y=value,
color=colors
)
# linear regression
regline = sm.OLS(value,sm.add_constant(years)).fit().fittedvalues
# add linear regression line for whole sample
fig.add_traces(go.Scatter(x=years, y=regline,
mode = 'lines',
marker_color='black',
name='trend all')
)
fig
你可以同时拥有它:
剧情:
代码更改:只需添加trendline='ols'
fig = px.scatter(
x=years,
y=value,
trendline='ols',
color=colors
)