我想通过从外部文件读取数据,在Plotly中创建一个3D曲面图。下面是我使用的代码:
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)上面的代码不会生成任何曲面图。必须进行哪些更改才能创建曲面打印?
发布于 2021-10-19 19:48:39
从plotly reference:
描述曲面坐标的数据在z中设置。z中的数据应该是2D列表。x和y中的坐标可以是一维列表或{2D数组}
我有一个示例数据集。它包含三列(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()参考页面:https://plotly.com/python/reference/surface/

https://stackoverflow.com/questions/69625661
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