[英]Plotly: How to change the colour scheme of a 3D surface plot?
我想在 plotly Z23EEEB4347BDD26BFC6B7EE9A3B755 Plotly 默认分配配色方案,如下图所示。
这是我的代码
import import plotly.graph_objects as go
import pandas as pd
data = pd.read_csv('\Data.csv')
data.set_index("years", inplace = True)
figure = go.Figure(data=[go.Surface(z=data.values)])
figure.update_layout(
scene = dict(
xaxis = dict(
title = 'Months',
#nticks = 5,
autorange='reversed',
showgrid=True,
gridwidth=1,
gridcolor='Blue',
ticktext = data.columns,
tickvals= list(range(0,data.shape[1]))),
yaxis = dict(
title = 'years',
showgrid=True,
gridwidth=1,
gridcolor='Blue',
ticktext = data.index,
tickvals= list(range(0,data.shape[0]))),
zaxis = dict(
title = 'Discharge (Cumecs)',
#showgrid=True,
gridwidth=1,
gridcolor='Blue')),
tilte = 'Plot 1'
)
您可以通过colorscale
轻松更改配色方案
go.Surface(colorscale ='<color>')
这是一个使用colorscale='Blues
的示例:
fig = go.Figure(data=[go.Surface(z=z_data.values, colorscale ='Blues')])
Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis。
import plotly.graph_objects as go
import pandas as pd
# Read data from a csv
z_data = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/api_docs/mt_bruno_elevation.csv')
fig = go.Figure(data=[go.Surface(z=z_data.values, colorscale ='Blues')])
fig.update_layout(title='Mt Bruno Elevation', autosize=False,
width=500, height=500,
margin=dict(l=65, r=50, b=65, t=90))
f = fig.full_figure_for_development(warn=False)
fig.show()
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