Series¶

Constructor¶

Series([client, index_pattern, name, …]) pandas.Series like API that proxies into Elasticsearch index(es).

Attributes and underlying data¶

Axes

`Series.index`	Return eland index referencing Elasticsearch field to index a DataFrame/Series
`Series.shape`	Return a tuple representing the dimensionality of the Series.
`Series.name`
`Series.empty`	Determines if the Series is empty.

Indexing, iteration¶

`Series.head`(self[, n])
`Series.tail`(self[, n])

Binary operator functions¶

`Series.add`(self, right)	Return addition of series and right, element-wise (binary operator add).
`Series.sub`(self, right)	Return subtraction of series and right, element-wise (binary operator sub).
`Series.mul`(self, right)	Return multiplication of series and right, element-wise (binary operator mul).
`Series.div`(self, right)	Return floating division of series and right, element-wise (binary operator truediv).
`Series.truediv`(self, right)	Return floating division of series and right, element-wise (binary operator truediv).
`Series.floordiv`(self, right)	Return integer division of series and right, element-wise (binary operator floordiv //).
`Series.mod`(self, right)	Return modulo of series and right, element-wise (binary operator mod %).
`Series.pow`(self, right)	Return exponential power of series and right, element-wise (binary operator pow).
`Series.radd`(self, left)	Return addition of series and left, element-wise (binary operator add).
`Series.rsub`(self, left)	Return subtraction of series and left, element-wise (binary operator sub).
`Series.rmul`(self, left)	Return multiplication of series and left, element-wise (binary operator mul).
`Series.rdiv`(self, left)	Return division of series and left, element-wise (binary operator div).
`Series.rtruediv`(self, left)	Return division of series and left, element-wise (binary operator div).
`Series.rfloordiv`(self, left)	Return integer division of series and left, element-wise (binary operator floordiv //).
`Series.rmod`(self, left)	Return modulo of series and left, element-wise (binary operator mod %).
`Series.rpow`(self, left)	Return exponential power of series and left, element-wise (binary operator pow).

Computations / descriptive stats¶

`Series.describe`(self)	Generate descriptive statistics that summarize the central tendency, dispersion and shape of a dataset’s distribution, excluding NaN values.
`Series.max`(self[, numeric_only])	Return the maximum of the Series values
`Series.mean`(self[, numeric_only])	Return the mean of the Series values
`Series.min`(self[, numeric_only])	Return the minimum of the Series values
`Series.sum`(self[, numeric_only])	Return the sum of the Series values
`Series.nunique`(self)	Return the sum of the Series values
`Series.value_counts`(self[, es_size])	Return the value counts for the specified field.

Reindexing / selection / label manipulation¶

Series.rename(self, new_name) Rename name of series.

Plotting¶

Series.hist(self[, by, ax, grid, …]) Draw histogram of the input series using matplotlib.

Serialization / IO / conversion¶

`Series.to_string`(self[, buf, na_rep, …])	Render a string representation of the Series.
`Series.to_numpy`(self)	Not implemented.

Elasticsearch utilities¶

Series.info_es(self)