Python Pandas DataFrame

A DataFrame is a 2-dimensional array of columnar data.

The type is fully specified as pandas.core.frame.DataFrame.

Contents

Example

A column without significant consistency of data types will initialize with a dtype of object. Alternatives include:

Method	Meaning
`axes`	list containing the values of the `index` and `columns` attributed
`columns`	Index listing the column names
`dtypes`	Series listing the dtype of each column
`iloc`	indexable accessor of member values
`index`	RangeIndex containing the member indices
`loc`	indexable accessor of member values
`shape`	tuple of 2 ints representing number of rows and columns
`size`	`int` count of member values
`values`	nested numpy.ndarray containing the member values

These methods return numpy.float64 values unless otherwise specified.

Method	Meaning	Example
`head`	return a new `DataFrame` of the first N rows	`df.head(5)`
`info`	print information including types and null values
`squeeze`	return a Series view of the frame
`sum`	return a `Series` of sums for each row or column	`df.sum(axis="columns"); df.sum(axis="index")`
`tail`	return a new `DataFrame` of the last N rows	`df.tail(5)`