Columns¶
-
class
Columns
¶ Collection of columns. iter operates over columns.
-
add_column_from_str
(name, values)¶ adds a column from series of str
- Parameters
name (str) – column name
values (series) – any type, cast to numpy array
-
property
array
¶ object array of all columns
-
clear
() → None. Remove all items from D.¶
-
get
(k[, d]) → D[k] if k in D, else d. d defaults to None.¶
-
property
index_name
¶ column name whose values can be used to index table rows
-
items
() → a set-like object providing a view on D’s items¶
-
iter_rows
()¶
-
keys
() → a set-like object providing a view on D’s keys¶
-
property
order
¶ column order
-
pop
(k[, d]) → v, remove specified key and return the corresponding value.¶ If key is not found, d is returned if given, otherwise KeyError is raised.
-
popitem
() → (k, v), remove and return some (key, value) pair¶ as a 2-tuple; but raise KeyError if D is empty.
-
setdefault
(k[, d]) → D.get(k,d), also set D[k]=d if k not in D¶
-
take_columns
(columns)¶ returns new Columns instance with just columns
-
to_dict
()¶ returns column based dict
-
to_rich_dict
()¶
-
update
([E, ]**F) → None. Update D from mapping/iterable E and F.¶ If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v
-
values
() → an object providing a view on D’s values¶
-