Python: Pandas

• Installed via Anaconda or Pip.

• import pandas as pd

• pd.Series and pd.DataFrame are the two workhorses of pandas.

Series

• A Series is a one-dimensional array-like object containing a sequence of values and an associated array of data labels, called its index.

• pd.Series([1st, 2nd,...,nth]): define a series with zero-based indexing.

  Calling the object itself will return a graphical representation of indexes and values.

• Series.values: return an array of the values.

• Series.index: return a RangeIndex object that holds start, stop, and step values.

Declare an

pd.Series([1st,2nd,...,nth], index=['l1','l2',...,'ln'])

E

*l = label

>>> seriesObj = pd.Series([4, 7, -5, 3])
>>> seriesObj
0	 4
1	 7
2	-5
3	 3

################################################################################

>>> seriesObj.values
array([4, 7, -5, 3])

>>> seriesObj.index
RangeIndex(start=0, stop=4, step=10 # like range(4)

################################################################################

>>> seriesObj2 = pd.Series([4, 7, -5, 3], index=['d', 'b', 'a', 'c'])
>>> seriesObj2
d	 4
b	 7
a	-5
c	 3