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Introduction to Python
Introduction to Python
Run the hidden code cell below to import the data used in this course.
# Importing course packages; you can add more too!
import numpy as np
import math
# Import columns as numpy arrays
baseball_names = np.genfromtxt(
fname="baseball.csv", # This is the filename
delimiter=",", # The file is comma-separated
usecols=0, # Use the first column
skip_header=1, # Skip the first line
dtype=str, # This column contains strings
)
baseball_heights = np.genfromtxt(
fname="baseball.csv", delimiter=",", usecols=3, skip_header=1
)
baseball_weights = np.genfromtxt(
fname="baseball.csv", delimiter=",", usecols=4, skip_header=1
)
baseball_ages = np.genfromtxt(
fname="baseball.csv", delimiter=",", usecols=5, skip_header=1
)
soccer_names = np.genfromtxt(
fname="soccer.csv",
delimiter=",",
usecols=1,
skip_header=1,
dtype=str,
encoding="utf",
)
soccer_ratings = np.genfromtxt(
fname="soccer.csv",
delimiter=",",
usecols=2,
skip_header=1,
encoding="utf",
)
soccer_positions = np.genfromtxt(
fname="soccer.csv",
delimiter=",",
usecols=3,
skip_header=1,
encoding="utf",
dtype=str,
)
soccer_heights = np.genfromtxt(
fname="soccer.csv",
delimiter=",",
usecols=4,
skip_header=1,
encoding="utf",
)
soccer_shooting = np.genfromtxt(
fname="soccer.csv",
delimiter=",",
usecols=8,
skip_header=1,
encoding="utf",
)
Take Notes
Add notes about the concepts you've learned and code cells with code you want to keep.
Add your notes here
Explore Datasets
Use the arrays imported in the first cell to explore the data and practice your skills!
- Print out the weight of the first ten baseball players.
- What is the median weight of all baseball players in the data?
- Print out the names of all players with a height greater than 80 (heights are in inches).
- Who is taller on average? Baseball players or soccer players? Keep in mind that baseball heights are stored in inches!
- The values in
soccer_shooting
are decimals. Convert them to whole numbers (e.g., 0.98 becomes 98). - Do taller players get higher ratings? Calculate the correlation between
soccer_ratings
andsoccer_heights
to find out! - What is the average rating for attacking players (
'A'
)?
# Add your code snippets here
A = [1, 3, 4, 2]
B = [[1, 2, 3], [4, 5, 7]]
C = [1 + 2, "a" * 5, 3]
print(A,B,C)