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July 11, 2019 05:57
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import pandas as pd | |
import numpy as np | |
# Crear un multi index desde tuplas | |
indices = [('Santiago', 2000), ('Santiago', 2010), | |
('California', 2000), ('California', 2010), | |
('New York', 2000), ('New York', 2010)] | |
m_indice = pd.MultiIndex.from_tuples(indices) | |
df = pd.DataFrame([33871648, 37253956, 18976457, 19378102, 20851820, 25145561], | |
columns=['Poblacion'], index=m_indice) | |
print(df) | |
# Poblacion | |
# Santiago 2000 33871648 | |
# 2010 37253956 | |
# California 2000 18976457 | |
# 2010 19378102 | |
# New York 2000 20851820 | |
# 2010 25145561 | |
# Seleccionar mas facil multiples grupos | |
df.loc['Santiago'] | |
# Poblacion | |
# 2000 33871648 | |
# 2010 37253956 | |
df.loc['Santiago', 2010] | |
# Poblacion 37253956 | |
# Name: (Santiago, 2010), dtype: int64 | |
m_indice = pd.MultiIndex.from_tuples([('Categoria 1', 'Primer Valor'), | |
('Categoria 1', 'Segundo Valor'), | |
('Categoria 1', 'Tercer Valor'), | |
('Categoria 2', 'Primer Valor'), | |
('Categoria 2', 'Segundo Valor'), | |
('Categoria 2', 'Tercer Valor'),]) | |
df = pd.DataFrame(np.random.randint(1, high=5, size=(6,4)), columns=list('abcd'), index=m_indice) | |
df | |
# a b c d | |
# Categoria 1 Primer Valor 4 1 3 3 | |
# Segundo Valor 3 3 4 1 | |
# Tercer Valor 4 4 4 2 | |
# Categoria 2 Primer Valor 4 4 4 3 | |
# Segundo Valor 4 3 4 3 | |
# Tercer Valor 2 1 4 3 | |
df.loc['Categoria 1', 'a'] | |
# Primer Valor 4 | |
# Segundo Valor 3 | |
# Tercer Valor 4 | |
# Name: a, dtype: int64 | |
df.loc[('Categoria 1', 'Tercer Valor'):('Categoria 2', 'Sengundo Valor')] | |
# a b c d | |
# Categoria 1 Tercer Valor 4 4 4 2 | |
# Categoria 2 Primer Valor 4 4 4 3 | |
# Segundo Valor 4 3 4 3 | |
df.loc[('Categoria 1', 'Tercer Valor'): 'Categoria 2'] | |
# a b c d | |
# Categoria 1 Tercer Valor 4 4 4 2 | |
# Categoria 2 Primer Valor 4 4 4 3 | |
# Segundo Valor 4 3 4 3 | |
# Tercer Valor 2 1 4 3 |
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