Index objects

Index

Many of these methods or variants thereof are available on the objects that contain an index (Series/DataFrame) and those should most likely be used before calling these methods directly.

Index(*args, **kwargs)

Immutable sequence used for indexing and alignment.

Properties

Index.values	Return an array representing the data in the Index.
Index.is_monotonic	Alias for is_monotonic_increasing.
Index.is_monotonic_increasing	Return a boolean if the values are equal or increasing.
Index.is_monotonic_decreasing	Return a boolean if the values are equal or decreasing.
Index.dtype	Return the dtype object of the underlying data.
Index.inferred_type	Return a string of the type inferred from the values.
Index.shape	Return a tuple of the shape of the underlying data.
Index.name	Return Index or MultiIndex name.
Index.names
Index.ndim	Number of dimensions of the underlying data, by definition 1.
Index.size	Return the number of elements in the underlying data.
Index.T	Return the transpose, which is by definition self.
Index.memory_usage([deep])	Memory usage of the values.

Modifying and computations

Index.all()	Return whether all elements are Truthy.
Index.any()	Return whether any element is Truthy.
Index.copy()	Make a copy of this object.
Index.drop(labels[, errors])	Make new Index with passed list of labels deleted.
Index.drop_duplicates([keep, method])	Return Index with duplicate values removed.
Index.duplicated([keep])	Indicate duplicate index values.
Index.min([axis, skipna])	Return the minimum value of the Index.
Index.max([axis, skipna])	Return the maximum value of the Index.
Index.rename(name[, inplace])	Alter Index or MultiIndex name.
Index.value_counts([normalize, sort, ...])	Return a Series containing counts of unique values.

Compatibility with MultiIndex

Index.set_names(names[, level, inplace])

Set Index or MultiIndex name.

Missing values

Index.fillna([value, downcast])	Fill NA/NaN values with the specified value.
Index.dropna([how])	Return Index without NA/NaN values.
Index.isna()	Detect missing values.
Index.notna()	Detect existing (non-missing) values.

Conversion

Index.astype(dtype[, copy])	Create an Index with values cast to dtypes.
Index.map(mapper[, na_action, dtype, ...])	Map values using an input mapping or function.
Index.to_series([index, name])	Create a Series with both index and values equal to the index keys.
Index.to_frame([index, name])	Create a DataFrame with a column containing the Index.

Sorting

Time-specific operations

Combining / joining / set operations

Selecting

Numeric Index

CategoricalIndex

Categorical components

Modifying and computations

IntervalIndex

IntervalIndex components

MultiIndex

MultiIndex constructors

MultiIndex properties

MultiIndex components

MultiIndex selecting

DatetimeIndex

Time/date components

Selecting

Time-specific operations

Conversion

Methods

TimedeltaIndex

Components

Conversion

Methods

PeriodIndex

Properties

Methods