python_for_sport_scientists_pt_3_plot.py

import pandas as pd
import seaborn as sns

weekData = [
  { "name": "John",    "distance": 35.4,   "high-speed-running": 3.65,   "week": 1 },
  { "name": "Mike",    "distance": 32.9,   "high-speed-running": 3.77,   "week": 1 },
  { "name": "Chad",    "distance": 27.2,   "high-speed-running": 3.02,   "week": 1 },
  { "name": "Phil",    "distance": 20.5,   "high-speed-running": 2.01,   "week": 1 },
  { "name": "Tyler",   "distance": 15.3,   "high-speed-running": 2.09,   "week": 1 },
  { "name": "John",    "distance": 38.4,   "high-speed-running": 4.95,   "week": 2 },
  { "name": "Mike",    "distance": 37.9,   "high-speed-running": 4.97,   "week": 2 },
  { "name": "Chad",    "distance": 33.2,   "high-speed-running": 4.42,   "week": 2 },
  { "name": "Phil",    "distance": 25.5,   "high-speed-running": 3.91,   "week": 2 },
  { "name": "Tyler",   "distance": 19.3,   "high-speed-running": 3.09,   "week": 2 },
]

weekDf = pd.DataFrame(data=weekData)

plot = sns.lmplot(x='high-speed-running', y='distance', data=weekDf)