code stringlengths 3 6.57k |
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super(DataFrame, self) |
Appender(_shared_docs['reindex_axis'] % _shared_doc_kwargs) |
super(DataFrame, self) |
Appender(_shared_docs['rename'] % _shared_doc_kwargs) |
rename(self, index=None, columns=None, **kwargs) |
super(DataFrame, self) |
index (row labels) |
place (do not create a new object) |
df.set_index(['A', 'B']) |
df.set_index(['A', [0, 1, 2, 0, 1, 2]]) |
df.set_index([[0, 1, 2, 0, 1, 2]]) |
isinstance(keys, list) |
self.copy() |
isinstance(self.index, MultiIndex) |
range(self.index.nlevels) |
arrays.append(self.index.get_level_values(i) |
arrays.append(self.index) |
isinstance(col, MultiIndex) |
range(col.nlevels - 1) |
arrays.append(col.get_level_values(n) |
col.get_level_values(col.nlevels - 1) |
names.extend(col.names) |
isinstance(col, Series) |
names.append(col.name) |
isinstance(col, Index) |
names.append(col.name) |
isinstance(col, (list, np.ndarray, Index) |
names.append(None) |
names.append(col) |
to_remove.append(col) |
arrays.append(level) |
MultiIndex.from_arrays(arrays, names=names) |
index.get_duplicates() |
ValueError('Index has duplicate keys: %s' % duplicates) |
index._cleanup() |
used (if set) |
place (do not create a new object) |
self.copy() |
_maybe_casted_values(index, labels=None) |
isinstance(index, PeriodIndex) |
elif (isinstance(index, DatetimeIndex) |
lib.maybe_convert_objects(values) |
values.take(labels) |
mask.any() |
np.arange(len(new_obj) |
isinstance(self.index, MultiIndex) |
isinstance(level, (tuple, list) |
self.index._get_level_number(lev) |
len(level) |
len(self.index.levels) |
self.index.droplevel(level) |
lzip(self.index.levels, self.index.labels) |
isinstance(self.columns, MultiIndex) |
reversed(list(enumerate(zipped) |
self.columns._get_level_number(col_level) |
tuple(name_lst) |
_maybe_casted_values(lev, lab) |
new_obj.insert(0, col_name, level_values) |
isinstance(self.columns, MultiIndex) |
tuple([name] * self.columns.nlevels) |
self.columns._get_level_number(col_level) |
tuple(name_lst) |
_maybe_casted_values(self.index) |
new_obj.insert(0, name, values) |
isinstance(axis, (tuple, list) |
self._get_axis_number(axis) |
self._get_axis(agg_axis) |
ax.get_indexer_for(subset) |
check.any() |
KeyError(list(np.compress(check,subset) |
self.take(indices,axis=agg_axis) |
agg_obj.count(axis=agg_axis) |
len(agg_obj._get_axis(agg_axis) |
ValueError('invalid how option: %s' % how) |
TypeError('must specify how or thresh') |
self.take(mask.nonzero() |
self._update_inplace(result) |
deprecate_kwarg(old_arg_name='cols', new_arg_name='subset') |
drop_duplicates(self, subset=None, take_last=False, inplace=False) |
self.duplicated(subset, take_last=take_last) |
nonzero() |
self._data.take(inds) |
self._update_inplace(new_data) |
deprecate_kwarg(old_arg_name='cols', new_arg_name='subset') |
duplicated(self, subset=None, take_last=False) |
f(vals) |
factorize(vals, size_hint=min(len(self) |
labels.astype('i8',copy=False) |
len(shape) |
np.iterable(subset) |
isinstance(subset, compat.string_types) |
isinstance(subset, tuple) |
map(list, zip( * map(f, vals) |
get_group_index(labels, shape, sort=False, xnull=False) |
Series(duplicated_int64(ids, take_last) |
labels (along either axis) |
column(s) |
name(s) |
df.sort(['A', 'B'], ascending=[1, 0]) |
labels (along either axis) |
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