Using Stata's toy dataset auto as an example:
sysuse auto, clear
describe
Contains data from auto.dta
obs: 74 1978 Automobile Data
vars: 12 13 Apr 2014 17:45
size: 3,182 (_dta has notes)
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storage display value
variable name type format label variable label
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make str18 %-18s Make and Model
price int %8.0gc Price
mpg int %8.0g Mileage (mpg)
rep78 int %8.0g Repair Record 1978
headroom float %6.1f Headroom (in.)
trunk int %8.0g Trunk space (cu. ft.)
weight int %8.0gc Weight (lbs.)
length int %8.0g Length (in.)
turn int %8.0g Turn Circle (ft.)
displacement int %8.0g Displacement (cu. in.)
gear_ratio float %6.2f Gear Ratio
foreign byte %8.0g origin Car type
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Sorted by: foreign
The following works for me:
import pandas as pd
data = pd.read_stata('auto.dta', iterator = True)
labels = data.variable_labels()
labels
Out[5]:
{'make': 'Make and Model',
'price': 'Price',
'mpg': 'Mileage (mpg)',
'rep78': 'Repair Record 1978',
'headroom': 'Headroom (in.)',
'trunk': 'Trunk space (cu. ft.)',
'weight': 'Weight (lbs.)',
'length': 'Length (in.)',
'turn': 'Turn Circle (ft.) ',
'displacement': 'Displacement (cu. in.)',
'gear_ratio': 'Gear Ratio',
'foreign': 'Car type'}