index a Python Pandas dataframe with multiple conditions SQL like where statement

Question

I am experienced in R and new to Python Pandas. I am trying to index a DataFrame to retrieve rows that meet a set of several logical conditions - much like the \"where\" st

Answer 1

# subset1:  All rows and columns where:
#   (fruit in fruitsInclude) AND (Vegetable not in vegetablesExlude)
df.ix[df['Fruit'].isin(fruitsInclude) & ~df['Vegetable'].isin(vegetablesExclude)]

# subset2:  All rows and columns where:
#   (fruit in fruitsInclude) AND [(Vegetable not in vegetablesExlude) OR (Animal == 'Dog')]
df.ix[df['Fruit'].isin(fruitsInclude) & (~df['Vegetable'].isin(vegetablesExclude) | (df['Animal']=='Dog'))]

# subset3:  All rows and specific columns where above logical conditions are true.
df.ix[df['Fruit'].isin(fruitsInclude) & ~df['Vegetable'].isin(vegetablesExclude) & (df['Animal']=='Dog')]