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Series_vs_DataFrame.py
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Series_vs_DataFrame.py
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# -*- coding: utf-8 -*-
__author__ = 'Who ?'
import pandas as pd
# Series: Is a unidimensional array with indexation. Similar to dictionary
spanishPlayers = pd.Series(
['Casillas', 'Ramos', 'Pique', 'Puyol', 'Capdevila', 'Xabi Alonso', 'Busquets', 'Xavi Hernandez', 'Pedrito',
'Iniesta', 'Villa'], index=[1, 15, 3, 5, 11, 14, 16, 8, 18, 6, 7])
print("Spanish Football Players: \n%s" % spanishPlayers)
print('\n==================================================================\n')
# series through dictionary
dictPlayers = {1: 'Casillas', 15: 'Ramos', 3: 'Pique', 5: 'Puyol', 11: 'Capdevila', 14: 'Xabi Alonso',
16: 'Busquets', 8: 'Xavi Hernandez', 18: 'Pedrito', 6: 'Iniesta', 7: 'Villa'}
players2series = pd.Series(dictPlayers)
# Insert new player
players2series[10] = 'Cesc'
print("Spanish Football Players through dictionary: \n%s" % players2series)
print('\n==================================================================\n')
# DataFrame: data structure similar to excel or SQL table
spanishPlayersDF = pd.DataFrame(
{
'name': ['Casillas', 'Ramos', 'Pique', 'Puyol', 'Capdevila', 'Xabi Alonso', 'Busquets', 'Xavi Hernandez',
'Pedrito', 'Iniesta', 'Villa'],
'demarcation': ['Goalkeeper', 'Right back', 'Centre-back', 'Centre-back', 'Left back', 'Defensive midfield',
'Defensive midfield', 'Midfielder', 'Left winger', 'Right winger', 'Centre forward'],
'team': ['Real Madrid', 'Real Madrid', 'FC Barcelona', 'FC Barcelona', 'Villareal', 'Real Madrid',
'FC Barcelona', 'FC Barcelona', 'FC Barcelona', 'FC Barcelona', 'FC Barcelona']
}, columns=['name', 'demarcation', 'team'], index=[1, 15, 3, 5, 11, 14, 16, 8, 18, 6, 7]
)
# Insert new player
spanishPlayersDF.loc[10] = ['Cesc', 'Forward', 'Arsenal']
print("Spanish Football Players DataFrame: \n%s" % spanishPlayersDF)