pandas.Index — pandas 0.18.1 documentation (original) (raw)
all(*args, **kwargs)
Return whether all elements are True
any(*args, **kwargs)
Return whether any element is True
append(other)
Append a collection of Index options together
argmax([axis])
return a ndarray of the maximum argument indexer
argmin([axis])
return a ndarray of the minimum argument indexer
argsort(*args, **kwargs)
Returns the indices that would sort the index and its underlying data.
asof(label)
For a sorted index, return the most recent label up to and including the passed label.
asof_locs(where, mask)
where : array of timestamps
astype(dtype)
copy([name, deep, dtype])
Make a copy of this object.
delete(loc)
Make new Index with passed location(-s) deleted
diff(*args, **kwargs)
difference(other)
Return a new Index with elements from the index that are not in other.
drop(labels[, errors])
Make new Index with passed list of labels deleted
drop_duplicates(*args, **kwargs)
Return Index with duplicate values removed
duplicated(*args, **kwargs)
Return boolean np.array denoting duplicate values
equals(other)
Determines if two Index objects contain the same elements.
factorize([sort, na_sentinel])
Encode the object as an enumerated type or categorical variable
fillna([value, downcast])
Fill NA/NaN values with the specified value
format([name, formatter])
Render a string representation of the Index
get_indexer(target[, method, limit, tolerance])
Compute indexer and mask for new index given the current index.
get_indexer_for(target, **kwargs)
guaranteed return of an indexer even when non-unique
get_indexer_non_unique(target)
return an indexer suitable for taking from a non unique index
get_level_values(level)
Return vector of label values for requested level, equal to the length
get_loc(key[, method, tolerance])
Get integer location for requested label
get_slice_bound(label, side, kind)
Calculate slice bound that corresponds to given label.
get_value(series, key)
Fast lookup of value from 1-dimensional ndarray.
return the underlying data as an ndarray
groupby(to_groupby)
Group the index labels by a given array of values.
identical(other)
Similar to equals, but check that other comparable attributes are
insert(loc, item)
Make new Index inserting new item at location.
intersection(other)
Form the intersection of two Index objects.
is_(other)
More flexible, faster check like is but that works through views
is_mixed()
is_type_compatible(kind)
isin(values[, level])
Compute boolean array of whether each index value is found in the passed set of values.
item()
return the first element of the underlying data as a python
join(other[, how, level, return_indexers])
this is an internal non-public method
map(mapper)
Apply mapper function to its values.
max()
The maximum value of the object
memory_usage([deep])
Memory usage of my values
min()
The minimum value of the object
nunique([dropna])
Return number of unique elements in the object.
order([return_indexer, ascending])
Return sorted copy of Index
putmask(mask, value)
return a new Index of the values set with the mask
ravel([order])
return an ndarray of the flattened values of the underlying data
reindex(target[, method, level, limit, ...])
Create index with target’s values (move/add/delete values as necessary)
rename(name[, inplace])
Set new names on index.
repeat(n, *args, **kwargs)
Repeat elements of an Index.
searchsorted(key[, side, sorter])
Find indices where elements should be inserted to maintain order.
set_names(names[, level, inplace])
Set new names on index.
set_value(arr, key, value)
Fast lookup of value from 1-dimensional ndarray.
shift([periods, freq])
Shift Index containing datetime objects by input number of periods and
slice_indexer([start, end, step, kind])
For an ordered Index, compute the slice indexer for input labels and
slice_locs([start, end, step, kind])
Compute slice locations for input labels.
sort(*args, **kwargs)
sort_values([return_indexer, ascending])
Return sorted copy of Index
sortlevel([level, ascending, sort_remaining])
For internal compatibility with with the Index API
alias of StringMethods
summary([name])
sym_diff(*args, **kwargs)
symmetric_difference(other[, result_name])
Compute the sorted symmetric difference of two Index objects.
take(indices[, axis, allow_fill, fill_value])
return a new %(klass)s of the values selected by the indices
to_datetime([dayfirst])
For an Index containing strings or datetime.datetime objects, attempt
to_native_types([slicer])
slice and dice then format
to_series(**kwargs)
Create a Series with both index and values equal to the index keys
tolist()
return a list of the Index values
transpose(*args, **kwargs)
return the transpose, which is by definition self
union(other)
Form the union of two Index objects and sorts if possible.
unique()
Return array of unique values in the object.
value_counts([normalize, sort, ascending, ...])
Returns object containing counts of unique values.
view([cls])