[英]Change plotly scatterpolar labels manually
我有一个 scatterpolar plot,但外面的标签以度数而不是方向(N、NE、E 等)显示方向。 我的数据是度数,所以我需要手动替换 plot 上显示的标签。 我目前的代码是:
import pandas as pd
import plotly.graph_objs as go
# Get data
url = "https://raw.githubusercontent.com/mpudil/projects/master/slc.csv"
df = pd.read_csv(url)
fig = go.Figure(data=
go.Scatterpolar(
r = list(df['distance']),
theta = list(df['bearing']),
mode = 'markers',
name = 'log'
))
fig.update_layout(
polar = dict(
radialaxis = dict(type = "log", tickangle = 45),
angularaxis = dict(
thetaunit = "degrees",
dtick = 45,
rotation=90,
direction = "clockwise"
)
))
它产生下面的 plot。 有什么建议可以让 plot 显示方向而不是度数? 谢谢。
注:数据可以在https://github.com/mpudil/projects/blob/master/slc.csv
不确定是否有更好的方法,但以下应该有效
fig.update_layout(
polar = dict(
radialaxis = dict(type = "log", tickangle = 45),
angularaxis = dict(
thetaunit = "degrees",
dtick = 45,
rotation=90,
direction = "clockwise",
tickmode="array",
tickvals=[0, 45, 90, 135, 180, 225, 270, 315],
ticktext=["N", "NE", "E", "SE", "S", "SW", "W", "NW"]
)
))
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.