I am trying to plot my data in a 3d graph with X, Y and Z coordinates with matlopyplot in python as I thought it would be fun and cool and didn’t realize how challenging it would be (but I am not giving up!).

I found many tutorials for plotting functions in 3d but not as much plotting of actual data. I keep receiving the error shape mismatch: objects cannot be broadcast to a single shape even though I have the correct number of x y and z data (192, 6, 32). After reading on some Q and A websites I learned that I need to change my data to be 2d arrays I believe in order that the library functions can know how the x y and z data correspond together and I tried creating a meshgrid of the x and y functions as suggested. I tried multiple ways but I am still receiving the same error as before.

Does anyone have anymore insights or suggestions and perhaps a better understanding of how this works? Thanks so much for any help you can provide!

    from matplotlib import pyplot as plt
    import numpy as np
    import pandas as pd 
    df = pd.read_csv('testcsv.csv')


    df2 = [df.loc[:,'0':'8']]  #how to append all as 1d list?
    #x= df2.values.tolist()
    x=np.array(np.linspace(0, 1, 32*6)) #using this as placeholder for x data
    y=np.array([0,0.5, 1,2, 4, 8])
    z= np.array(df.loc[:,'Elapsed'].values.tolist())  #32 values here 


    fig = plt.figure()

    # syntax for 3-D projection
    ax = plt.axes(projection ='3d') 
    z=np.tile(z, (len(z), 1))
    x, y = np.meshgrid(x, y)
    ax.scatter(x, y, z)

 #commented out code includes other methods I tried
 # including reshaping z based on the dimensions of x 
      # create matrix for z values
     #dim = int(np.sqrt(len(x_data)))
     #z = z_data.reshape((dim, dim))  
      # create matrix for the x and y points
     #x, y = np.arange(0, dim, 1), np.arange(0, dim, 1)


    # plotting
    ax.plot3D(x, y, z, 'green')
    ax.set_title('title')
    plt.show()