To use a DataFrame we first need to import pandas and set some options for output.

In [1]:
   # reference NumPy and pandas
   import numpy as np
   import pandas as pd

   # Set some pandas options
   pd.set_option('display.notebook_repr_html', False)
   pd.set_option('display.max_columns', 10)
   pd.set_option('display.max_rows', 10)

There are several ways to create a DataFrame. Probably the most straightforward way, is by creating it from a NumPy array. The following code creates a DataFrame from a two dimensional NumPy array.

In [2]:
   # create a DataFrame from a 2-d ndarray
   pd.DataFrame(np.array([[10, 11], [20, 21]]))

Out[2]:
       0   1
   0  10  11
   1  20  21

Each row of the array forms a row in the DataFrame object. Since we did not specify an index, pandas creates a default int64 index in the same manner as a Series object. Since we did not specify column names, pandas also assigns the names for each column with a zero-based integer series...