def describe(self):
"""
Returns a dataframe with frequency and counts by level.
"""
# Hack?
from pandas.core.frame import DataFrame
grouped = DataFrame(self.labels).groupby(0)
counts = grouped.count().values.squeeze()
freqs = counts / float(counts.sum())
return DataFrame.from_dict(dict(counts=counts, freqs=freqs, levels=self.levels)).set_index("levels")
def describe(self):
"""
Returns a dataframe with frequency and counts by level.
"""
#Hack?
grouped = DataFrame(self.labels).groupby(0)
counts = grouped.count().values.squeeze()
freqs = counts / float(counts.sum())
return DataFrame.from_dict(
dict(counts=counts, freqs=freqs,
levels=self.levels)).set_index('levels')
def describe(self):
"""
Returns a dataframe with frequency and counts by level.
"""
# Hack?
from pandas.core.frame import DataFrame
grouped = DataFrame(self.labels).groupby(0)
counts = grouped.count().values.squeeze()
freqs = counts / float(counts.sum())
return DataFrame.from_dict({
'counts': counts,
'freqs': freqs,
'levels': self.levels
}).set_index('levels')