pd.options.display.max_colwidth = 100
pd.options.display.max_columns = 10
# ##### Examples: FS #####
# Load workout-history table to dataframe
# Note the 'u' in front, denoting a unicode string
collections = [
u'workout-history',
u'can-eat-options',
u'exercises',
u'food-items',
]
firestore = FS.FS()
# Get all exercises that have a string instead of a DocRef
wh = collections[0]
firestore.loadCollection(wh)
workoutHistory = firestore.collections[wh]
df = pd.DataFrame.from_dict(data)
filtered = df[df['Exercise'].apply(isinstance, args=(str, ))]
# # Normalize Data
# Update "Hex deadlift", "Shoulder press", "Bent over row" to title case.
filtered['Exercise'] # show data
# Define a function that checks for title case. Must have value for all use cases.
def isNotTitle(string):
