DataFrame¶

Constructor¶

DataFrame([client, index_pattern, columns, …]) Two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns) referencing data stored in Elasticsearch indices.

Attributes and underlying data¶

Axes

`DataFrame.index`	Return eland index referencing Elasticsearch field to index a DataFrame/Series
`DataFrame.columns`	The column labels of the DataFrame.
`DataFrame.dtypes`	Return the pandas dtypes in the DataFrame.
`DataFrame.select_dtypes`(self[, include, exclude])	Return a subset of the DataFrame’s columns based on the column dtypes.
`DataFrame.values`	Not implemented.
`DataFrame.empty`	Determines if the DataFrame is empty.
`DataFrame.shape`	Return a tuple representing the dimensionality of the DataFrame.

Indexing, iteration¶

`DataFrame.head`(self[, n])	Return the first n rows.
`DataFrame.keys`(self)	Return columns
`DataFrame.tail`(self[, n])	Return the last n rows.
`DataFrame.get`(self, key[, default])	Get item from object for given key (ex: DataFrame column).
`DataFrame.query`(self, expr)	Query the columns of a DataFrame with a boolean expression.

Function application, GroupBy & window¶

`DataFrame.agg`(self, func[, axis])	Aggregate using one or more operations over the specified axis.
`DataFrame.aggregate`(self, func[, axis])	Aggregate using one or more operations over the specified axis.

Computations / descriptive stats¶

`DataFrame.count`(self)	Count non-NA cells for each column.
`DataFrame.describe`(self)	Generate descriptive statistics that summarize the central tendency, dispersion and shape of a dataset’s distribution, excluding NaN values.
`DataFrame.info`(self[, verbose, buf, …])	Print a concise summary of a DataFrame.
`DataFrame.max`(self[, numeric_only])	Return the maximum value for each numeric column
`DataFrame.mean`(self[, numeric_only])	Return mean value for each numeric column
`DataFrame.min`(self[, numeric_only])	Return the minimum value for each numeric column
`DataFrame.sum`(self[, numeric_only])	Return sum for each numeric column
`DataFrame.nunique`(self)	Return cardinality of each field.

Reindexing / selection / label manipulation¶

DataFrame.drop(self[, labels, axis, index, …]) Return new object with labels in requested axis removed.

Plotting¶

DataFrame.hist(data[, column, by, grid, …]) Make a histogram of the DataFrame’s.

Serialization / IO / conversion¶

`DataFrame.info`(self[, verbose, buf, …])	Print a concise summary of a DataFrame.
`DataFrame.to_numpy`(self)	Not implemented.
`DataFrame.to_csv`(self[, path_or_buf, sep, …])	Write Elasticsearch data to a comma-separated values (csv) file.
`DataFrame.to_html`(self[, buf, columns, …])	Render a Elasticsearch data as an HTML table.
`DataFrame.to_string`(self[, buf, columns, …])	Render a DataFrame to a console-friendly tabular output.

Elasticsearch utilities¶

DataFrame.info_es(self) A debug summary of an eland DataFrame internals.