Ways to enhance the size of aircraft in Plotly

Upon analyzing the code snippet

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')

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))

This particular code can be accessed via Google Colab to generate a specific output.

https://i.stack.imgur.com/XHqPq.jpg

The planes illustrated in the output do not fill up the entire axis space as they should respect the axis ranges. In other words, the planes:

  • z=66.5 - should exist between [0, 31.38] in x and [0, 110] in y
  • x=15.59 - should exist between [0, 110] in y and [0, 133] in z
  • y=55 - should exist between [0, 31.38] in x and [0, 133] in z

How can this adjustment be made?

By implementing this new solution,

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')

fig = px.scatter_3d(df, x='Functionality ', y='Accessibility', z='Immersion', color='Platforms')

grey = [[0,'#C0C0C0'],[1,'#C0C0C0']]

zero_pt = pd.Series([0])
z1 = np.arange(0, 134, 1)
print(z1)
y1 = np.arange(0, 111, 1)
print(z1)
x1 = np.arange(0, 32.38, 1)
print(z1)
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)
print(zero_pt)
print(z)

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))

fig.add_trace(go.Surface(x=x1, y=y1, z=z_plane_pos, colorscale=grey,  showscale=False))
fig.add_trace(go.Surface(x=x.apply(lambda x: 15.69), y=y1, z = np.array([test]*length_data1), colorscale= grey, showscale=False))
fig.add_trace(go.Surface(x=x1, y= y.apply(lambda x: 55), z =  np.array([test]*length_data1).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))

progress has been made but there is still an issue where planes x=15.59 and y=55 are not reaching the maximum value of 133 in Immersion.

https://i.stack.imgur.com/FkQc8.jpg

pythonpython-3.xchartsgoogle-colaboratoryplotly-python

Answer №1

The issue arose from the incorrect shapes of the arrays I was trying to plot.

After separating the creation of input arrays and plotting, I identified the problem and then adjusted the size and content of the input arrays for proper plotting.

https://i.stack.imgur.com/MCXUc.png

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 
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))

Check it out here.

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