#!/usr/bin/env python
# coding: utf-8

# # Practice Problems
# ### Lecture 26
# Answer each number in a separate cell
# 
# Rename the notebook with your lastName, first initial and the lecture 
#     
#     ex. Cych_B_26
#     
# Turn this notebook into Canvas.

# ## 1. Mplot3d
# - Import **random** from numpy and use it to generate 3 arrays- each with 10 random values. 
# - Plot the points using the **Axes3D** **.add_subplot** to make a 3D figure object.  Then use the   method **ax.scatter( )**  to plot the data as blue dots.  
# - Label your axes.  
# 
# ## 2. Mplot3d and subduction zones
# - Modify the 3D figure of the earthquakes around the Marianas Trench.
#     - Read in the data in Datasets/EarthquakeLocations/last5Years.csv as a DataFrame and filter with the box as in the lecture. 
#     - Look at the columns in the filtered DataFrame **box**
#     - What is the magnitude of the largest earthquake? the smallest earthquake?
#     - Change the color to blue and set the opacity using the **alpha** keyword.
#     - Make an array of sizes from the 'mag' column and raise 32 to the magnetudes (to be proportional to the energy released. 
#     - Normalize the array by the mean value, then multiply by 10.
#     - Set the symbol size in the 3D figure, to be proportional to your sizes array. 
#         - **Hint:** use the keyword argument **s** to set the markersize

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