vDataFrame.del_catalog¶

In [ ]:

vDataFrame.del_catalog()

Delete the current vDataFrame catalog.

Returns¶

vDataFrame : self

Example¶

In [3]:

# Computing some aggregations which will be stored
# in the vDataFrame catalog
from verticapy import *
titanic = vDataFrame("titanic")
titanic.describe()
display(titanic["age"].catalog)

{'25%': 21,
 '50%': 28,
 '75%': 39,
 'avg': 30.1524573721163,
 'biserial': {},
 'count': 997,
 'cov': {},
 'cramer': {},
 'kendall': {},
 'max': 80,
 'min': 0.33,
 'pearson': {},
 'regr_avgx': {},
 'regr_avgy': {},
 'regr_count': {},
 'regr_intercept': {},
 'regr_r2': {},
 'regr_slope': {},
 'regr_sxx': {},
 'regr_sxy': {},
 'regr_syy': {},
 'spearman': {},
 'std': 14.4353046299159,
 'unique': 96}

In [4]:

# Deleting the current catalog
titanic.del_catalog()
display(titanic["age"].catalog)

{'biserial': {},
 'cov': {},
 'cramer': {},
 'kendall': {},
 'pearson': {},
 'regr_avgx': {},
 'regr_avgy': {},
 'regr_count': {},
 'regr_intercept': {},
 'regr_r2': {},
 'regr_slope': {},
 'regr_sxx': {},
 'regr_sxy': {},
 'regr_syy': {},
 'spearman': {}}