# 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