pandas.DataFrame Column

A pandas.DataFrame Column is a Tabular Data Structure Column for a pandas.DataFrame Data Structure.

• Context:
  • It can (typically) have a pandas.DataFrame Column Data Type, such as: float, int, bool, datetime64[ns], timedelta[ns], and object.
  • …
• Counter-Example(s):
  • a pandas.DataFrame Attribute.
  • a pandas.DataFrame Axis.
• See: SQL Table Column.

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References

2014

• http://pandas.pydata.org/pandas-docs/stable/basics.html#dtypes
  • The main types stored in pandas objects are float, int, bool, datetime64[ns], timedelta[ns], and object. In addition these dtypes have item sizes, e.g. int64 and int32. A convenient dtypes attribute for DataFrames returns a Series with the data type of each column.

   dft = DataFrame(dict( A = np.random.rand(3),
                         B = 1,
                         C = 'foo',
                         D = Timestamp('20010102'),
                         E = Series([1.0]*3).astype('float32'),
                         F = False,
                         G = Series([1]*3,dtype='int8')))
   ...
   dft.dtypes
   A           float64
   B             int64
   C            object
   D    datetime64[ns]
   E           float32
   F              bool
   G              int8

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