Watch the videos below, do the readings linked to below the videos, and complete the assigned programming problems. Please get started early, and come to office hours if you have any questions!
Recall that to make notebook cells that have Python code in them do something, hold down the 'shift' key and then press the 'enter' key (you'll have to do this to get the YouTube videos to run). To edit a cell (to add answers, for example) you double-click on the cell, add your text, and then enter it by holding down 'shift' and pressing 'enter'
This assignment is due by 11:59 p.m. the day before class, and should be uploaded into the "Pre-class assignments" dropbox folder for Day 4. Submission instructions can be found at the end of the notebook.
IPython tutorial -- this contains some very useful suggestions about IPython commands that allow you to get help on Python, figure out what specific variables or objects do, and many other things.
Jupyter notebook tips and tricks -- some clever things you can do with Jupyter notebooks
In [ ]:
# Imports the functionality that we need to display YouTube videos in a Jupyter Notebook.
# You need to run this cell before you run ANY of the YouTube videos.
from IPython.display import YouTubeVideo
In [ ]:
# Video on Modules in Python
# Make sure to watch it in full-screen mode!
YouTubeVideo("chBLLNBGoEE",width=640,height=360) # modules and pyplot
Question 1: The cell below contains four lists of data, which correspond to two sets of X and Y values. Use matplotlib to make a plot of these datasets. The first pair of lists (x1, y1) should be drawn with a thick blue dashed line and the second pair of lists (x2, y2) should be drawn with red diamonds. Make the width and height of the plot a bit wider than the region occupied by the points, so that you can see the shape that is drawn. Add axis labels to the x and y axes, with whatever text you like. Use the Pyplot Tutorial for inspiration, and in particular you can find instructions on how to create different types of characters and line types in the pyplot 'plot' command documentation.
In [ ]:
# ensures that the plots made by matplotlib/pyplot show up in the notebook!
%matplotlib inline
# imports the pyplot module from matplotlib
import matplotlib.pyplot as plt
x1 = [2,4,6,8,10,12,14,16,18]
y1 = [10,8.25,7.5,7,6.5,7,7.5,8.25,10]
x2 = [5, 15]
y2 = [15, 15]
# put your plotting commands below this comment!
In [ ]:
# Video on the Pandas module
# Make sure to watch it in full-screen mode!
YouTubeVideo("A0InxIMAvlU",width=640,height=360) # pandas
In the following two questions, we're going to use a small database of data taken from patients that were admitted to the hospital with chest pains. In the dataset, the columns correspond to the following:
The cell immediately below this loads up Pandas and reads in the data, and you should run that cell before you do anything else!
In [ ]:
# make plots appear in the notebook
%matplotlib inline
# import the pandas module
import pandas
# read in some data on heart disease (don't worry too much about what "json" is!)
# from http://www.datasets.co/dataset/Heart-Disease
heart_disease_data = pandas.read_json("""[{"observation_number":0,"age":67,"sex":1,"cp":4,"trestbps":160,"chol":286,"fbs":0,"restecg":2,"thalach":108,"exang":1,"oldpeak":1.5,"slope":2,"ca":"3.0","thal":"3.0","num":2},{"observation_number":1,"age":67,"sex":1,"cp":4,"trestbps":120,"chol":229,"fbs":0,"restecg":2,"thalach":129,"exang":1,"oldpeak":2.6,"slope":2,"ca":"2.0","thal":"7.0","num":1},{"observation_number":2,"age":37,"sex":1,"cp":3,"trestbps":130,"chol":250,"fbs":0,"restecg":0,"thalach":187,"exang":0,"oldpeak":3.5,"slope":3,"ca":"0.0","thal":"3.0","num":0},{"observation_number":3,"age":41,"sex":0,"cp":2,"trestbps":130,"chol":204,"fbs":0,"restecg":2,"thalach":172,"exang":0,"oldpeak":1.4,"slope":1,"ca":"0.0","thal":"3.0","num":0},{"observation_number":4,"age":56,"sex":1,"cp":2,"trestbps":120,"chol":236,"fbs":0,"restecg":0,"thalach":178,"exang":0,"oldpeak":0.8,"slope":1,"ca":"0.0","thal":"3.0","num":0},{"observation_number":5,"age":62,"sex":0,"cp":4,"trestbps":140,"chol":268,"fbs":0,"restecg":2,"thalach":160,"exang":0,"oldpeak":3.6,"slope":3,"ca":"2.0","thal":"3.0","num":3},{"observation_number":6,"age":57,"sex":0,"cp":4,"trestbps":120,"chol":354,"fbs":0,"restecg":0,"thalach":163,"exang":1,"oldpeak":0.6,"slope":1,"ca":"0.0","thal":"3.0","num":0},{"observation_number":7,"age":63,"sex":1,"cp":4,"trestbps":130,"chol":254,"fbs":0,"restecg":2,"thalach":147,"exang":0,"oldpeak":1.4,"slope":2,"ca":"1.0","thal":"7.0","num":2},{"observation_number":8,"age":53,"sex":1,"cp":4,"trestbps":140,"chol":203,"fbs":1,"restecg":2,"thalach":155,"exang":1,"oldpeak":3.1,"slope":3,"ca":"0.0","thal":"7.0","num":1},{"observation_number":9,"age":57,"sex":1,"cp":4,"trestbps":140,"chol":192,"fbs":0,"restecg":0,"thalach":148,"exang":0,"oldpeak":0.4,"slope":2,"ca":"0.0","thal":"6.0","num":0},{"observation_number":10,"age":56,"sex":0,"cp":2,"trestbps":140,"chol":294,"fbs":0,"restecg":2,"thalach":153,"exang":0,"oldpeak":1.3,"slope":2,"ca":"0.0","thal":"3.0","num":0},{"observation_number":11,"age":56,"sex":1,"cp":3,"trestbps":130,"chol":256,"fbs":1,"restecg":2,"thalach":142,"exang":1,"oldpeak":0.6,"slope":2,"ca":"1.0","thal":"6.0","num":2},{"observation_number":12,"age":44,"sex":1,"cp":2,"trestbps":120,"chol":263,"fbs":0,"restecg":0,"thalach":173,"exang":0,"oldpeak":0,"slope":1,"ca":"0.0","thal":"7.0","num":0},{"observation_number":13,"age":52,"sex":1,"cp":3,"trestbps":172,"chol":199,"fbs":1,"restecg":0,"thalach":162,"exang":0,"oldpeak":0.5,"slope":1,"ca":"0.0","thal":"7.0","num":0},{"observation_number":14,"age":57,"sex":1,"cp":3,"trestbps":150,"chol":168,"fbs":0,"restecg":0,"thalach":174,"exang":0,"oldpeak":1.6,"slope":1,"ca":"0.0","thal":"3.0","num":0},{"observation_number":15,"age":48,"sex":1,"cp":2,"trestbps":110,"chol":229,"fbs":0,"restecg":0,"thalach":168,"exang":0,"oldpeak":1,"slope":3,"ca":"0.0","thal":"7.0","num":1},{"observation_number":16,"age":54,"sex":1,"cp":4,"trestbps":140,"chol":239,"fbs":0,"restecg":0,"thalach":160,"exang":0,"oldpeak":1.2,"slope":1,"ca":"0.0","thal":"3.0","num":0},{"observation_number":17,"age":48,"sex":0,"cp":3,"trestbps":130,"chol":275,"fbs":0,"restecg":0,"thalach":139,"exang":0,"oldpeak":0.2,"slope":1,"ca":"0.0","thal":"3.0","num":0},{"observation_number":18,"age":49,"sex":1,"cp":2,"trestbps":130,"chol":266,"fbs":0,"restecg":0,"thalach":171,"exang":0,"oldpeak":0.6,"slope":1,"ca":"0.0","thal":"3.0","num":0},{"observation_number":19,"age":64,"sex":1,"cp":1,"trestbps":110,"chol":211,"fbs":0,"restecg":2,"thalach":144,"exang":1,"oldpeak":1.8,"slope":2,"ca":"0.0","thal":"3.0","num":0},{"observation_number":20,"age":58,"sex":0,"cp":1,"trestbps":150,"chol":283,"fbs":1,"restecg":2,"thalach":162,"exang":0,"oldpeak":1,"slope":1,"ca":"0.0","thal":"3.0","num":0},{"observation_number":21,"age":58,"sex":1,"cp":2,"trestbps":120,"chol":284,"fbs":0,"restecg":2,"thalach":160,"exang":0,"oldpeak":1.8,"slope":2,"ca":"0.0","thal":"3.0","num":1},{"observation_number":22,"age":58,"sex":1,"cp":3,"trestbps":132,"chol":224,"fbs":0,"restecg":2,"thalach":173,"exang":0,"oldpeak":3.2,"slope":1,"ca":"2.0","thal":"7.0","num":3},{"observation_number":23,"age":60,"sex":1,"cp":4,"trestbps":130,"chol":206,"fbs":0,"restecg":2,"thalach":132,"exang":1,"oldpeak":2.4,"slope":2,"ca":"2.0","thal":"7.0","num":4},{"observation_number":24,"age":50,"sex":0,"cp":3,"trestbps":120,"chol":219,"fbs":0,"restecg":0,"thalach":158,"exang":0,"oldpeak":1.6,"slope":2,"ca":"0.0","thal":"3.0","num":0},{"observation_number":25,"age":58,"sex":0,"cp":3,"trestbps":120,"chol":340,"fbs":0,"restecg":0,"thalach":172,"exang":0,"oldpeak":0,"slope":1,"ca":"0.0","thal":"3.0","num":0},{"observation_number":26,"age":66,"sex":0,"cp":1,"trestbps":150,"chol":226,"fbs":0,"restecg":0,"thalach":114,"exang":0,"oldpeak":2.6,"slope":3,"ca":"0.0","thal":"3.0","num":0},{"observation_number":27,"age":43,"sex":1,"cp":4,"trestbps":150,"chol":247,"fbs":0,"restecg":0,"thalach":171,"exang":0,"oldpeak":1.5,"slope":1,"ca":"0.0","thal":"3.0","num":0},{"observation_number":28,"age":40,"sex":1,"cp":4,"trestbps":110,"chol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Question 2: Make a histogram of the resting blood pressure of the patient upon admission, with a title indicating what you're looking at. Note that you can add a title by adding an extra instruction when you call the histogram method, as shown by this code snippet: hist(title="my clever title").
In [ ]:
# put your code here!
Question 3: Make a histogram of any two of the four variables described above, and title it accordingly. (How do you think you do that?)
In [ ]:
# put your code here!
In [ ]:
from IPython.display import HTML
HTML(
"""
<iframe
src="https://goo.gl/forms/s1hskdbspMZ4gX4z2?embedded=true"
width="80%"
height="1200px"
frameborder="0"
marginheight="0"
marginwidth="0">
Loading...
</iframe>
"""
)