得到以下代碼import pandas as pdimport plotly.graph_objects as goimport numpy as npdf = pd.read_csv('https://raw.githubusercontent.com/tiago-peres/immersion/master/Platforms_dataset.csv')fig = px.scatter_3d(df, x='Functionality ', y='Accessibility', z='Immersion', color='Platforms')grey = [[0,'#C0C0C0'],[1,'#C0C0C0']]zero_pt = pd.Series([0])z = zero_pt.append(df['Immersion'], ignore_index = True).reset_index(drop = True)y = zero_pt.append(df['Accessibility'], ignore_index = True).reset_index(drop = True)x = zero_pt.append(df['Functionality '], ignore_index = True).reset_index(drop = True)length_data = len(z)z_plane_pos = 66.5*np.ones((length_data,length_data))fig.add_trace(go.Surface(x=x, y=y, z=z_plane_pos, colorscale=grey, showscale=False))fig.add_trace(go.Surface(x=x.apply(lambda x: 15.69), y=y, z = np.array([z]*length_data), colorscale= grey, showscale=False))fig.add_trace(go.Surface(x=x, y= y.apply(lambda x: 55), z = np.array([z]*length_data).transpose(), colorscale=grey, showscale=False))fig.update_layout(scene = dict( xaxis = dict(nticks=4, range=[0,31.38],), yaxis = dict(nticks=4, range=[0,110],), zaxis = dict(nticks=4, range=[0,133],),), legend_orientation="h",margin=dict(l=0, r=0, b=0, t=0))可以在產生以下輸出的 Google Colab 中打開如您所見，平面沒有填滿整個軸空間，它們應該符合軸范圍。換句話說，飛機z=66.5 - 應該存在于 x 的 [0, 31.38] 和 y 的 [0, 110] 之間x=15.59 - 應該存在于 y 中的 [0, 110] 和 z 中的 [0, 133] 之間y=55 - 應該存在于 x 的 [0, 31.38] 和 z 的 [0, 133] 之間那怎么辦？
1 回答
慕雪6442864
TA貢獻1812條經驗 獲得超5個贊
問題是我繪制的陣列形狀不正確。
通過適當地拆分創建輸入數組和繪圖的位，能夠發現這一點，并因此制作了正確大小和適當內容的輸入數組（用于繪圖）。
import plotly.express as px
import pandas as pd
import plotly.graph_objects as go
import numpy as np
df = pd.read_csv('https://raw.githubusercontent.com/tiago-peres/immersion/master/Platforms_dataset.csv')
zero_pt = pd.Series([0])
z1 = np.arange(0, 134, 1)
y1 = np.arange(0, 111, 1)
x1 = np.arange(0, 32.38, 1)
z = zero_pt.append(df['Immersion'], ignore_index = True).reset_index(drop = True)
y = zero_pt.append(df['Accessibility'], ignore_index = True).reset_index(drop = True)
x = zero_pt.append(df['Functionality '], ignore_index = True).reset_index(drop = True)
test1 = pd.Series([133])
test = z.append(test1)
length_data1 = len(z1)
z_plane_pos = 66.5*np.ones((length_data1,length_data1))
length_data2 = len(y1)
y_plane_pos = 55*np.ones((length_data2,length_data2))
length_data3 = len(x1)
x_plane_pos = 15.69*np.ones((length_data3,length_data3))
xvals = x.apply(lambda x: 15.69)
xvals2 = x1
yvals = y1
yvals2 = y.apply(lambda x: 55)
zvals = np.zeros((len(yvals), len(xvals)))
zvals[:, -1] = 133 # np.array([test]*length_data2)
zvals2 = np.zeros((len(yvals2), len(xvals2)))
zvals2[-1, :] = 133
fig = px.scatter_3d(df, x='Functionality ', y='Accessibility', z='Immersion', color='Platforms')
grey = [[0,'#C0C0C0'],[1,'#C0C0C0']]
fig.add_trace(go.Surface(x=x1, y=y1, z=z_plane_pos, colorscale=grey, showscale=False))
fig.add_trace(go.Surface(x=xvals, y=yvals, z = zvals, colorscale= grey, showscale=False))
fig.add_trace(go.Surface(x=xvals2, y=yvals2, z = zvals2, colorscale=grey, showscale=False))
fig.update_layout(scene = dict(
xaxis = dict(nticks=4, range=[0,31.38],),
yaxis = dict(nticks=4, range=[0,110],),
zaxis = dict(nticks=4, range=[0,133],),),
legend_orientation="h",margin=dict(l=0, r=0, b=0, t=0))
看這里。
添加回答
舉報
0/150
提交
取消