def load_df(path):
if os.path.splitext(path)[1] != '.feather':
return default_csv_loader(path)
elif featherpmm:
ds = featherpmm.read_dataframe(path)
return ds.df
else:
return feather.read_dataframe(path)
def load_df(path):
if os.path.splitext(path)[1] != '.feather':
return default_csv_loader(path)
elif featherpmm:
ds = featherpmm.read_dataframe(path)
return ds.df
elif feather:
return feather.read_dataframe(path)
else:
raise Exception('The Python feather module is not installed.\n'
'Use:\n pip install feather-format\n'
'to add capability.\n', file=sys.stderr)
def load_df(path):
if file_format(path) != 'feather':
return default_csv_loader(path)
elif featherpmm and feather:
ds = featherpmm.read_dataframe(path)
return ds.df
elif feather:
return feather.read_dataframe(path)
else:
raise Exception('The Python feather module is not installed.\n'
'Use:\n pip install feather-format\n'
'to add capability.\n')
def load_df(path):
if file_format(path) != 'feather':
return default_csv_loader(path)
elif featherpmm and feather:
ds = featherpmm.read_dataframe(path)
return ds.df
elif feather:
return feather.read_dataframe(path)
else:
raise Exception('The Python feather module is not installed.\n'
'Use:\n pip install feather-format\n'
'to add capability.\n')
def get_2d_outlier_dataframe():
return featherpmm.read_dataframe('data/items.feather').df
from pmmif import featherpmm
from tdda.constraints import discover_df
path = 'data/good_items.feather'
df = featherpmm.read_dataframe(path).df
constraints = discover_df(df, inc_rex=True)
with open('autoconstraints.tdda', 'w') as f:
f.write(constraints.to_json())
def get_week_actual():
df = featherpmm.read_dataframe('data/actual.feather').df
return df.set_index('date')
def get_day():
return featherpmm.read_dataframe('data/day.feather').df
def get_week():
df = featherpmm.read_dataframe('data/week.feather').df
return df.set_index('date')
