.. currentmodule:: pandas

.. ipython:: python
   :suppress:

   import numpy as np
   import pandas as pd
   import os
   np.random.seed(123456)
   np.set_printoptions(precision=4, suppress=True)
   import matplotlib
   matplotlib.style.use('ggplot')
   import matplotlib.pyplot as plt
   pd.options.display.max_rows = 8

Object Creation
---------------

See the :ref:`Data Structure Intro section <dsintro>`

Creating a :class:`Series` by passing a list of values, letting pandas create
a default integer index:

.. ipython:: python

   s = pd.Series([1,3,5,np.nan,6,8])
   s

Creating a :class:`DataFrame` by passing a numpy array, with a datetime index
and labeled columns:

.. ipython:: python

   dates = pd.date_range('20130101', periods=6)
   dates
   df = pd.DataFrame(np.random.randn(6,4), index=dates, columns=list('ABCD'))
   df

Creating a ``DataFrame`` by passing a dict of objects that can be converted to series-like.

.. ipython:: python

   df2 = pd.DataFrame({ 'A' : 1.,
                        'B' : pd.Timestamp('20130102'),
                        'C' : pd.Series(1,index=list(range(4)),dtype='float32'),
                        'D' : np.array([3] * 4,dtype='int32'),
                        'E' : pd.Categorical(["test","train","test","train"]),
                        'F' : 'foo' })
   df2

Having specific :ref:`dtypes <basics.dtypes>`

.. ipython:: python

   df2.dtypes