I have tried to plot the following:
fig = plt.figure(figsize=(10, 10))
ax = plt.axes(projection='3d')
t6 = time.t.iloc[6]
x6 = df_pi['case_1_40_pi']
y6 = df_stock['case_1_40_st']
t5 = time.t.iloc[5]
x5 = df_pi['case_1_35_pi']
y5 = df_stock['case_1_35_st']
t4 = time.t.iloc[4]
x4 = df_pi['case_1_30_pi']
y4 = df_stock['case_1_30_st']
t3 = time.t.iloc[3]
x3 = df_pi['case_1_20_pi']
y3 = df_stock['case_1_20_st']
t2 = time.t.iloc[2]
x2 = df_pi['case_1_10_pi']
y2 = df_stock['case_1_10_st']
t1 = time.t.iloc[1]
x1 = df_pi['case_1_5_pi']
y1 = df_stock['case_1_5_st']
t = time.t.iloc[0]
x = df_pi['case_1_1_pi']
y = df_stock['case_1_1_st']
ax.plot3D(x, y, t)
ax.plot3D(x1, y1, t1)
ax.plot3D(x2, y2, t2)
ax.plot3D(x3, y3, t3)
ax.plot3D(x4, y4, t4)
ax.plot3D(x5, y5, t5)
ax.plot3D(x6, y6, t6)
plt.show()
Which gives me the following plot:
The z axis is the stock price, the y and x axis are two series. I have two data frames for each process and a dataframe to store the time periods (1, 5, 10, 15, 20, 30, 35, 40). So by time t=1 I would like to plot the two processes against one another. Then to place all of them in a 3d surface plot. Something similar to this: Plotly 3D surface plot in R time for series data
Can anyone help me with this?