2. Data Analysis - Pandas Series

 Series Creation

Series creation with default index

• X= pandas.series([10,20,30,40])  -- by passing a list
• X.index(), X.values()
• print(X[0], X[[0,2,3]] , X[1:3] --- Access the series value

Series creation with labeled index

• X = pd.series([10,20,30,40], Index = ['l1', 'l2', 'l3', 'l4'])
• X['l1'], X[['l1', 'l2']], X['l2':'l4']

Series creation using dictionary

• pd.Series(dict1) -- in same order as dictionary
• pd.Series(dict1, index=['k2', 'k1'])  -- change the order other than what specified in dictionary

Series Filter

• X(X<0)   -- return all negative element.

Mathematical operation

• obj + obj2
• if index is not matching then it will be NAN

check NULL value

• X.isnull() -- returns boolean array
• X.notnull() -- returns bollean array

change the index

• X.index = ['k1', 'k2']
• X.index.name = "indexName"