def test_plot_incremental_transactions(self):
"""Test plotting incremental transactions with CDNOW example."""
transactions = load_dataset('CDNOW_sample.txt', header=None, sep='\s+')
transactions.columns = [
'id_total', 'id_sample', 'date', 'num_cd_purc', 'total_value'
]
t = 39
freq = 'W'
transactions_summary = utils.summary_data_from_transaction_data(
transactions,
'id_sample',
'date',
datetime_format='%Y%m%d',
observation_period_end='19970930',
freq=freq)
bgf = BetaGeoFitter(penalizer_coef=0.01)
bgf.fit(transactions_summary['frequency'],
transactions_summary['recency'], transactions_summary['T'])
plt.figure()
plotting.plot_incremental_transactions(bgf,
transactions,
'date',
'id_sample',
2 * t,
t,
freq=freq,
xlabel='week',
datetime_format='%Y%m%d')
return plt.gcf()
def cdnow_transactions():
transactions = load_dataset('CDNOW_sample.txt', header=None, sep=r'\s+')
transactions.columns = ['id_total', 'id_sample', 'date', 'num_cd_purc',
'total_value']
return transactions[['id_sample', 'date']]
def cdnow_transactions():
transactions = load_dataset("CDNOW_sample.txt", header=None, sep=r"\s+")
transactions.columns = [
"id_total", "id_sample", "date", "num_cd_purc", "total_value"
]
return transactions[["id_sample", "date"]]