I'm trying to use the scatter3D to plot in three dimensions. Create four subplots with the appropriate viewing angles using the view_init() function. So here's my code:
import pandas as pd
fileName = "MultipleLinearRegression.csv"
df = pd.read_csv("MultipleLinearRegression.csv")
%matplotlib tk from mpl_toolkits import mplot3d fig = plt.figure() ax = plt.axes(projection='3d') ax = Axes3D(fig)
#Subplot 1
fig = plt.figure(figsize=(4,4))
ax = fig.add_subplot(2,2,1, projection='3d')
ax.set_xlabel('x', c='r', size=14)
ax.set_ylabel('y', c='r', size=14)
ax.set_zlabel('z', c='r', size=14)
x_data = df['8.34044009405148']
y_data = df['9.58873988137183']
z_data = df['209.00852403785387']
ax.scatter3D(df['x_data'],df['y_data'],df['z_data'],cmap='jet')
ax.view_init(0, 90)
# displaying the plot
plt.show()
And here's the spreadsheet I'm pulling the data from:
x y z
8.34044009405148 9.58873988137183 209.00852403785400
14.406489868843200 13.64881572741860 325.4498177656920
0.0022874963468977300 0.5905816602662950 1.6517778449597900
6.046651452636800 6.3935107874857800 141.46490365671400
2.935117816342260 4.30215052053637 83.20450639846250
1.846771895375960 2.5204879701410000 47.51646541177870
3.725204227553420 2.4336415247549700 58.32325321483190
6.911214540860960 6.06297062581364 143.97075979727600
Here's the error message I'm getting:
UsageError: unrecognized arguments: from mpl_toolkits import mplot3d fig = plt.figure() ax = plt.axes(projection='3d') ax = Axes3D(fig)
And here's the outcome I'm wanting:
I've also tried:
%matplotlib tk from mpl_toolkits import mplot3d fig = plt.figure() ax = plt.axes(projection='3d') ax = Axes3D(fig)
x = 8.34044009405148, 15.00288629889935, 2.934571498116203, 7.953536739710671
y = 9.58873988137183, 16.691383353095627, 2.155464543082064, 8.860987900319106
z = 209.00852403785387, 378.2070301263841, 48.403467755855516, 196.816790498762
# creating the plot
plot_geeks = ax.scatter(x, y, z, cmap='jet')
# setting title and labels
ax.set_title("3D plot")
ax.set_xlabel('x-axis')
ax.set_ylabel('y-axis')
ax.set_zlabel('z-axis')
# displaying the plot
plt.show()
Error:
UsageError: unrecognized arguments: from mpl_toolkits import mplot3
ax = plt.axes(projection='3d')
fig = plt.figure()
df.plot() # plots all columns against index
df.plot(kind='scatter',x='x',y='y', z='z')
ax.scatter3D(xdata, ydata, zdata, c=zdata, cmap='jet');
Error:
AttributeError: PathCollection.set() got an unexpected keyword argument
So I'm not really sure where to go from here because the plots aren't working so I'm sure I'm just not getting it.
