pandasticsearch module
from __future__ import absolute_import from pandasticsearch.dataframe import DataFrame, Column from pandasticsearch.client import RestClient from pandasticsearch.queries import Select, Agg from pandasticsearch.types import Row col = Column
Classes
class col
class Column(object): def __init__(self, field): self._field = field def __eq__(self, other): return Equal(field=self._field, value=other) def __ne__(self, other): return ~Equal(field=self._field, value=other) def __gt__(self, other): return Greater(field=self._field, value=other) def __lt__(self, other): return Less(field=self._field, value=other) def __ge__(self, other): return GreaterEqual(field=self._field, value=other) def __le__(self, other): return LessEqual(field=self._field, value=other) def isin(self, other): return IsIn(field=self._field, value=other) def field_name(self): return self._field @property def desc(self): return Sorter(self._field) @property def asc(self): return Sorter(self._field, 'asc') @property def max(self): return MetricAggregator(self._field, 'max') @property def min(self): return MetricAggregator(self._field, 'min') @property def avg(self): return MetricAggregator(self._field, 'avg') @property def value_count(self): return MetricAggregator(self._field, 'value_count') count = value_count @property def cardinality(self): return MetricAggregator(self._field, 'cardinality') distinct_count = cardinality @property def percentiles(self): return MetricAggregator(self._field, 'percentiles') @property def percentile_ranks(self): return MetricAggregator(self._field, 'percentile_ranks')
Ancestors (in MRO)
- col
- builtins.object
Class variables
var count
var distinct_count
Static methods
def __init__(
self, field)
Initialize self. See help(type(self)) for accurate signature.
def __init__(self, field): self._field = field
def field_name(
self)
def field_name(self): return self._field
def isin(
self, other)
def isin(self, other): return IsIn(field=self._field, value=other)
Instance variables
var asc
var avg
var cardinality
var count
var desc
var distinct_count
var max
var min
var percentile_ranks
var percentiles
var value_count