I want to create a 3D surface plot in Plotly by reading the data from an external file. Following is the code I am using:
import numpy as np
import plotly.graph_objects as go
import plotly.express as px
data = np.genfromtxt('values.dat', dtype=float)
# The shape of X, Y and Z is (10,1)
X = data[:,0:1]
Y = data[:,1:2]
Z = data[:,2:3]
fig = go.Surface(x=X, y=Y, z=Z, name='Surface plot', colorscale=px.colors.sequential.Plotly3)
plot(fig)
The above code does not produce any surface plot. What changes has to be made to create a surface plot?
From plotly figure reference:
The data the describes the coordinates of the surface is set in z
. Data in z
should be a 2D list. Coordinates in x
and y
can either be 1D lists or {2D arrays}
I have an example data set. It contains three columns (x,y,z).
import plotly.graph_objects as go
import pandas as pd
import numpy as np
from scipy.interpolate import griddata
df = pd.read_csv('./test_data.csv')
x = np.array(df.lon)
y = np.array(df.lat)
z = np.array(df.value)
xi = np.linspace(x.min(), x.max(), 100)
yi = np.linspace(y.min(), y.max(), 100)
X,Y = np.meshgrid(xi,yi)
Z = griddata((x,y),z,(X,Y), method='cubic')
fig = go.Figure(go.Surface(x=xi,y=yi,z=Z))
fig.show()
Reference Page: https://plotly.com/python/reference/surface/
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