Python

 df = df[df[col_name] > 70]

filter = df['column']!= 0
df = df[filter]

# select columns by name
df.filter(items=['col1', 'col2'])

alldata_balance = alldata[(alldata[IBRD] !=0) | (alldata[IMF] !=0)]

#To select rows whose column value is in list 
years = [1952, 2007]
gapminder.year.isin(years)

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