Python Pandas Types

The types defined by the pandas module.

DataFrame

For details on pandas.core.frame.DataFrame, see here.

Index

The pandas.core.indexes.base.Index type is returned by the columns attribute on other data types, such as DataFrame.

RangeIndex

The pandas.core.indexes.range.RangeIndex type is returned by the index attribute on other data types, such as Series.

Series

For details on pandas.core.series.Series, see here.

_ILocIndexer

pandas.core.indexing._iLocIndexer is an accessor object returned by the iloc method. Even if there is a set index for the original object, this always looks up sequential integer indices.

s.iloc[0]         # first value by integer index
s.iloc[-1]        # last value
s.iloc[:5]        # slice of first 5 values 
s.iloc[:]         # slice of all values
s.iloc[[0, -1]]   # first and last value

If there is more than one selected value, a new instance of the original data type is returned. If there is only one selected value, the underlying stored type is returned.

s = pd.Series(["foo", "bar", "baz"])

type(s.iloc[:])  # pandas.core.series.Series
type(s.iloc[0])  # str

Indexing can raise an IndexError.

Note that this is not a read-only view.

s.iloc[0] = "Foo"
s.iloc[[0, 1, 2]] = ["foo", "bar", "baz"]
s.iloc[0:3] = ["foo", "bar", "baz"]

_LocIndexer

pandas.core.indexing._LocIndexer is an accessor object returned by the loc method. This works exactly like the _iLocIndexer except that it looks up the set index, rather than the underlying sequential integer index.

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