Created
November 26, 2015 05:39
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Munges stuff from FitNotes, StrongLifts and MyFitnessPal
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import pandas as pd | |
import numpy as np | |
fitnotesFile = "..." | |
strongLiftsFile = "..." | |
mfpFile = "..." | |
fn = pd.read_csv(fitnotesFile) | |
fn = fn.rename(columns={'Weight (kgs)': 'Weight'}) # cleanup names | |
grp = fn.groupby(['Date','Exercise']).agg({'Weight':[np.sum, np.mean], 'Reps': [np.sum, np.mean], 'Exercise': [np.size]}) | |
unstacked = grp.unstack() | |
colNames = [] | |
for c in unstacked.columns: | |
if c[0] == 'Exercise': | |
colNames.append('{} Sets'.format(c[2])) | |
else: | |
colNames.append('{} {}({})'.format(c[2], c[1], c[0])) | |
unstacked.columns = colNames | |
unstacked = unstacked.reset_index() | |
sl = pd.read_csv(strongLiftsFile) # already unstacked | |
workouts = pd.concat([sl, unstacked]) | |
weights = pd.read_csv(mfpFile) | |
together = pd.merge(weights, workout, on='Date', how='left') |
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