Columns

class Columns

Collection of columns. iter operates over columns.

Attributes:

array

object array of all columns

index_name

column name whose values can be used to index table rows

order

column order

Methods

add_column_from_str(name, values)	adds a column from series of str
clear()
get(k[,d])
items()
keys()
pop(k[,d])	If key is not found, d is returned if given, otherwise KeyError is raised.
popitem()	as a 2-tuple; but raise KeyError if D is empty.
setdefault(k[,d])
take_columns(columns)	returns new Columns instance with just columns
to_dict()	returns column based dict
update([E, ]**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()

iter_rows
to_rich_dict

add_column_from_str(name, values)

adds a column from series of str

Parameters:

namestr

column name

valuesseries

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