Index objects

Constructor

Index(data, **_)

Properties

Index.has_duplicates
Index.hasnans	Return True if there are any NaNs.
Index.is_monotonic_decreasing	Return boolean scalar if values in the object are monotonic_decreasing.
Index.is_monotonic_increasing	Return boolean scalar if values in the object are monotonic_increasing.
Index.is_unique	Return boolean if values in the index are unique.
Index.name
Index.names
Index.ndim
Index.size

Modifying and computations

Index.all()
Index.any()
Index.argmax([axis, skipna])	Return int position of the smallest value in the Series.
Index.argmin([axis, skipna])	Return int position of the smallest value in the Series.
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.factorize([sort, use_na_sentinel])	Encode the object as an enumerated type or categorical variable.
Index.insert(loc, value)	Make new Index inserting new item at location.
Index.max([axis, skipna])
Index.min([axis, skipna])
Index.rename(name[, inplace])	Alter Index or MultiIndex name.
Index.repeat(repeats[, axis])	Repeat elements of an Index.

Compatibility with MultiIndex

Index.droplevel(level)	Return index with requested level(s) removed.
Index.set_names(names[, level, inplace])	Set Index or MultiIndex name.

Missing values

Index.dropna([how])	Return Index without NA/NaN values.
Index.fillna([value, downcast])	Fill NA/NaN values with the specified value.
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.to_frame([index, name])	Create a DataFrame with a column containing the Index.
Index.to_series([index, name])	Create a Series with both index and values equal to the index keys.

Sorting

Index.argsort(*args, **kwargs)

Selecting

Index.get_level_values(level)

Return vector of label values for requested level.