code stringlengths 3 6.57k |
|---|
isinstance(v, dict) |
indexes.append(list(v.keys() |
is_list_like(v) |
getattr(v, 'ndim', 1) |
raw_lengths.append(len(v) |
_union_indexes(indexes) |
list(set(raw_lengths) |
len(lengths) |
ValueError('arrays must all be same length') |
len(index) |
len(index) |
ValueError(msg) |
Index(np.arange(lengths[0]) |
_ensure_index(index) |
_prep_ndarray(values, copy=True) |
isinstance(values, (np.ndarray, Series, Index) |
len(values) |
np.empty((0, 0) |
convert(v) |
com._possibly_convert_platform(v) |
com.is_list_like(values[0]) |
hasattr(values[0], 'len') |
np.array([convert(v) |
convert(values) |
convert(values) |
np.asarray(values) |
values.copy() |
values.reshape((values.shape[0], 1) |
ValueError('Must pass 2-d input') |
_to_arrays(data, columns, coerce_float=False, dtype=None) |
isinstance(data, DataFrame) |
data.icol(i) |
enumerate(data.columns) |
data.icol(i) |
range(len(columns) |
len(data) |
isinstance(data, np.ndarray) |
len(columns) |
isinstance(data[0], (list, tuple) |
isinstance(data[0], collections.Mapping) |
isinstance(data[0], Series) |
isinstance(data[0], Categorical) |
_default_index(len(data) |
elif (isinstance(data, (np.ndarray, Series, Index) |
list(data.dtype.names) |
lmap(tuple, data) |
_masked_rec_array_to_mgr(data, index, columns, dtype, copy) |
ma.getdata(data) |
_get_names_from_index(fdata) |
_default_index(len(data) |
_ensure_index(index) |
_ensure_index(columns) |
_to_arrays(fdata, columns) |
zip(fill_value, arrays, arr_columns) |
ma.getmaskarray(data[col]) |
mask.any() |
_maybe_upcast(arr, fill_value=fv, copy=True) |
new_arrays.append(arr) |
_reorder_arrays(new_arrays, arr_columns, columns) |
_arrays_to_mgr(arrays, arr_columns, index, columns) |
mgr.copy() |
_reorder_arrays(arrays, arr_columns, columns) |
if (columns is not None and len(columns) |
len(arr_columns) |
get_indexer(columns) |
_list_to_arrays(data, columns, coerce_float=False, dtype=None) |
len(data) |
isinstance(data[0], tuple) |
list(lib.to_object_array_tuples(data) |
list(lib.to_object_array(data) |
_list_of_series_to_arrays(data, columns, coerce_float=False, dtype=None) |
getattr(s, 'index', None) |
getattr(s, 'index', None) |
_default_index(len(s) |
id(index) |
id(index) |
id(index) |
index.get_indexer(columns) |
_values_from_object(s) |
aligned_values.append(com.take_1d(values, indexer) |
np.vstack(aligned_values) |
list(values.T) |
_list_of_dict_to_arrays(data, columns, coerce_float=False, dtype=None) |
list(x.keys() |
lib.fast_unique_multiple_list_gen(gen) |
type(d) |
dict(d) |
list(lib.dicts_to_array(data, list(columns) |
_convert_object_array(content, columns, coerce_float=False, dtype=None) |
_default_index(len(content) |
len(columns) |
len(content) |
len(columns) |
len(content) |
convert(arr) |
lib.maybe_convert_objects(arr, try_float=coerce_float) |
com._possibly_cast_to_datetime(arr, dtype) |
convert(arr) |
_get_names_from_index(data) |
lrange(len(data) |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.