如何在Python中的 Plotly 中更改颜色条

在本文中，我们将学习如何在 Plotly Python中更改颜色条。

Plotly 的不同类型的色阶名称

aggrnyl	burg	inferno	plasma	rdpu	ylgnbu	matter	geyser
agsunset	burgyl	jet	plotly3	redor	ylorbr	solar	piyg
blackbody	cividis	magenta	pubu	reds	ylorrd	speed	picnic
blues	darkmint	magma	pubugn	sunset	algae	tempo	portland
bluered	electric	mint	purd	sunsetdark	amp	thermal	puor
blugrn	emrld	orrd	purp	teal	deep	turbid	rdgy
bluyl	gnbu	oranges	purples	tealgrn	dense	armyrose	rdylbu
brwnyl	greens	oryel	purpor	turbo	gray	brbg	rdylgn
bugn	greys	peach	rainbow	viridis	haline	earth	spectral
bupu	hot	pinkyl	rdbu	ylgn	ice	fall	tealrose
temps	tropic	balance	curl	delta	oxy	edge	hsv
icefire	phase	twilight	mrybm	mygbm

句法：

我们可以通过使用色标来改变颜色。

fig = go.Figure(data=go.Scatter(
    y=np.random.randn(500),
    mode='markers',
    marker=dict(
        size=8,
        
        # set color equal to a variable
        color=np.random.randn(500),
        
        # one of plotly colorscales
        colorscale='hot',
        
        # enable color scale
        showscale=True
    )
))

示例 1：

Python3

# import the modules
import plotly.graph_objects as go
import numpy as np
  
# create figure
# from the data using numpy random method
fig = go.Figure(data=go.Scatter(
    y=np.random.randn(500),
    mode='markers',
    marker=dict(
        size=8,
        
        # set color equal to a variable
        color=np.random.randn(500),
          
        # one of plotly colorscales
        colorscale='hot',
          
        # enable color scale
        showscale=True
    )
))
  
# display figure
fig.show()

输出：

示例 2：

将颜色设置为 hot_r

Python3

import plotly.graph_objects as go
import numpy as np
  
fig = go.Figure(data=go.Line(
    y = np.random.randn(500),
    mode='markers',
    marker=dict(
        size=8,
        color=np.random.randn(500), #set color equal to a variable
        colorscale='hot_r', # one of plotly colorscales
        showscale=True  # enable color scale
    )
))
  
fig.show()

输出：

示例 3：

将颜色设置为 turbo_r

Python3

import plotly.graph_objects as go
import numpy as np
  
fig = go.Figure(data=go.Scatter(
    y=np.random.randn(500),
    mode='markers',
    marker=dict(
        size=8,
        
        # set color equal to a variable
        color=np.random.randn(550),
          
        # one of plotly colorscales
        colorscale='turbo_r',
          
        # enable color scale
        showscale=True
    )
))
# display
fig.show()

输出：