code stringlengths 3 6.57k |
|---|
self.where(-key, value, inplace=True) |
_ensure_valid_index(self, value) |
len(self.index) |
is_list_like(value) |
Series(value) |
isinstance(value, Series) |
self._data.reindex_axis(value.index.copy() |
_set_item(self, key, value) |
array (not a Series/TimeSeries) |
self._ensure_valid_index(value) |
self._sanitize_column(key, value) |
NDFrame._set_item(self, key, value) |
len(self) |
self._check_setitem_copy() |
insert(self, loc, column, value, allow_duplicates=False) |
len(columns) |
self._ensure_valid_index(value) |
self._sanitize_column(column, value) |
assign(self, **kwargs) |
object
(a copy) |
DataFrame({'A': range(1, 11) |
np.random.randn(10) |
df.assign(ln_A = lambda x: np.log(x.A) |
np.log(df['A']) |
df.assign(ln_A=newcol) |
self.copy() |
kwargs.items() |
callable(v) |
v(data) |
results.items() |
_sanitize_column(self, key, value) |
reindexer(value) |
value.index.equals(self.index) |
len(self.index) |
value.values.copy() |
value.reindex(self.index) |
isinstance(value, Series) |
reindexer(value) |
isinstance(value, DataFrame) |
isinstance(self.columns, MultiIndex) |
self.columns.get_loc(key) |
isinstance(loc, (slice, Series, np.ndarray, Index) |
maybe_droplevels(self.columns[loc], key) |
len(cols) |
cols.equals(value.columns) |
value.reindex_axis(cols, axis=1) |
reindexer(value) |
isinstance(value, Categorical) |
value.copy() |
elif (isinstance(value, Index) |
is_sequence(value) |
_sanitize_index(value, self.index, copy=False) |
isinstance(value, (np.ndarray, Index) |
isinstance(value, list) |
len(value) |
com._possibly_convert_platform(value) |
com._asarray_tuplesafe(value) |
value.copy() |
value.copy() |
is_object_dtype(value.dtype) |
_possibly_infer_to_datetimelike(value.ravel() |
reshape(value.shape) |
_infer_dtype_from_scalar(value) |
np.repeat(value, len(self.index) |
astype(dtype) |
com._possibly_cast_to_datetime(value, dtype) |
isinstance(value, (Categorical, SparseArray) |
isinstance(existing_piece, DataFrame) |
np.tile(value, (len(existing_piece.columns) |
np.atleast_2d(np.asarray(value) |
_series(self) |
enumerate(self.columns) |
Series(self._data.iget(idx) |
lookup(self, row_labels, col_labels) |
each (row, col) |
zip(row_labels, col_labels) |
result.append(df.get_value(row, col) |
len(row_labels) |
len(col_labels) |
ValueError('Row labels must have same size as column labels') |
self.index.get_indexer(row_labels) |
self.columns.get_indexer(col_labels) |
if (ridx == -1) |
any() |
KeyError('One or more row labels was not found') |
if (cidx == -1) |
any() |
KeyError('One or more column labels was not found') |
len(self.columns) |
np.empty(n, dtype='O') |
enumerate(zip(row_labels, col_labels) |
self.get_value(r, c) |
is_object_dtype(result) |
lib.maybe_convert_objects(result) |
_reindex_axes(self, axes, level, limit, method, fill_value, copy) |
_reindex_multi(self, axes, copy, fill_value) |
self.index.reindex(axes['index']) |
self.columns.reindex(axes['columns']) |
Appender(_shared_docs['reindex'] % _shared_doc_kwargs) |
reindex(self, index=None, columns=None, **kwargs) |
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