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    "# Practice Problems\n",
    "### Lecture 26\n",
    "Answer each number in a separate cell\n",
    "\n",
    "Rename the notebook with your lastName, first initial and the lecture \n",
    "    \n",
    "    ex. Cych_B_26\n",
    "    \n",
    "Turn this notebook into Canvas."
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    "## 1. Mplot3d\n",
    "- Import **random** from numpy and use it to generate 3 arrays- each with 10 random values. \n",
    "- 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.  \n",
    "- Label your axes.  \n",
    "\n",
    "## 2. Mplot3d and subduction zones\n",
    "- Modify the 3D figure of the earthquakes around the Marianas Trench.\n",
    "    - Read in the data in Datasets/EarthquakeLocations/last5Years.csv as a DataFrame and filter with the box as in the lecture. \n",
    "    - Look at the columns in the filtered DataFrame **box**\n",
    "    - What is the magnitude of the largest earthquake? the smallest earthquake?\n",
    "    - Change the color to blue and set the opacity using the **alpha** keyword.\n",
    "    - Make an array of sizes from the 'mag' column and raise 32 to the magnetudes (to be proportional to the energy released. \n",
    "    - Normalize the array by the mean value, then multiply by 10.\n",
    "    - Set the symbol size in the 3D figure, to be proportional to your sizes array. \n",
    "        - **Hint:** use the keyword argument **s** to set the markersize"
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