How to use the censusdata.censustable function in CensusData

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github jtleider / censusdata / test / test_variable_info.py View on Github external
def test_printtable(self):
		testtable = censusdata.censustable('acs5', 2015, 'B19013')
		printedtable = io.StringIO()
		sys.stdout = printedtable
		censusdata.printtable(testtable)
		sys.stdout = sys.__stdout__
		self.assertEqual(printedtable.getvalue(), textwrap.dedent(
			'''\
			Variable     | Table                          | Label                                                    | Type 
			-------------------------------------------------------------------------------------------------------------------
			B19013_001E  | B19013. Median Household Incom | Median household income in the past 12 months (in 2015 I | int  
			-------------------------------------------------------------------------------------------------------------------
			'''))
		printedtable.close()
		printedtable = io.StringIO()
		sys.stdout = printedtable
		censusdata.printtable(testtable, moe=True)
		sys.stdout = sys.__stdout__
github jtleider / censusdata / test / test_variable_info.py View on Github external
expected['S0101_C02_024E'] = {'label': 'Estimate!!Percent!!Total population!!SELECTED AGE CATEGORIES!!15 to 44 years', 'concept': 'AGE AND SEX', 'predicateType': 'float'}
		expected['S0101_C02_025E'] = {'label': 'Estimate!!Percent!!Total population!!SELECTED AGE CATEGORIES!!16 years and over', 'concept': 'AGE AND SEX', 'predicateType': 'float'}
		expected['S0101_C02_026E'] = {'label': 'Estimate!!Percent!!Total population!!SELECTED AGE CATEGORIES!!18 years and over', 'concept': 'AGE AND SEX', 'predicateType': 'float'}
		expected['S0101_C02_027E'] = {'label': 'Estimate!!Percent!!Total population!!SELECTED AGE CATEGORIES!!21 years and over', 'concept': 'AGE AND SEX', 'predicateType': 'float'}
		expected['S0101_C02_028E'] = {'label': 'Estimate!!Percent!!Total population!!SELECTED AGE CATEGORIES!!60 years and over', 'concept': 'AGE AND SEX', 'predicateType': 'float'}
		expected['S0101_C02_029E'] = {'label': 'Estimate!!Percent!!Total population!!SELECTED AGE CATEGORIES!!62 years and over', 'concept': 'AGE AND SEX', 'predicateType': 'float'}
		expected['S0101_C02_030E'] = {'label': 'Estimate!!Percent!!Total population!!SELECTED AGE CATEGORIES!!65 years and over', 'concept': 'AGE AND SEX', 'predicateType': 'float'}
		expected['S0101_C02_031E'] = {'label': 'Estimate!!Percent!!Total population!!SELECTED AGE CATEGORIES!!75 years and over', 'concept': 'AGE AND SEX', 'predicateType': 'float'}
		expected['S0101_C02_032E'] = {'label': 'Estimate!!Percent!!Total population!!SUMMARY INDICATORS!!Median age (years)', 'concept': 'AGE AND SEX', 'predicateType': 'int'}
		expected['S0101_C02_033E'] = {'label': 'Estimate!!Percent!!Total population!!SUMMARY INDICATORS!!Sex ratio (males per 100 females)', 'concept': 'AGE AND SEX', 'predicateType': 'int'}
		expected['S0101_C02_034E'] = {'label': 'Estimate!!Percent!!Total population!!SUMMARY INDICATORS!!Age dependency ratio', 'concept': 'AGE AND SEX', 'predicateType': 'int'}
		expected['S0101_C02_035E'] = {'label': 'Estimate!!Percent!!Total population!!SUMMARY INDICATORS!!Old-age dependency ratio', 'concept': 'AGE AND SEX', 'predicateType': 'int'}
		expected['S0101_C02_036E'] = {'label': 'Estimate!!Percent!!Total population!!SUMMARY INDICATORS!!Child dependency ratio', 'concept': 'AGE AND SEX', 'predicateType': 'int'}
		expected['S0101_C02_037E'] = {'label': 'Estimate!!Percent!!PERCENT ALLOCATED!!Sex', 'concept': 'AGE AND SEX', 'predicateType': 'float'}
		expected['S0101_C02_038E'] = {'label': 'Estimate!!Percent!!PERCENT ALLOCATED!!Age', 'concept': 'AGE AND SEX', 'predicateType': 'float'}
		self.assertEqual(censusdata.censustable('acs5', 2018, 'S0101_C02'), expected)
github jtleider / censusdata / test / test_variable_info.py View on Github external
expected = OrderedDict()
			expected['B23025_001E'] = {'label': 'Total:', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': predicateType}
			expected['B23025_001M'] = {'label': 'Margin of Error for!!Total:', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': predicateType}
			expected['B23025_002E'] = {'label': 'In labor force:', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': predicateType}
			expected['B23025_002M'] = { 'label': 'Margin of Error for!!In labor force:', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': predicateType}
			expected['B23025_003E'] = {'label': 'In labor force:!!Civilian labor force:', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': predicateType}
			expected['B23025_003M'] = {'label': 'Margin of Error for!!In labor force:!!Civilian labor force:', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': predicateType}
			expected['B23025_004E'] = {'label': 'In labor force:!!Civilian labor force:!!Employed', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': predicateType}
			expected['B23025_004M'] = {'label': 'Margin of Error for!!In labor force:!!Civilian labor force:!!Employed', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': predicateType}
			expected['B23025_005E'] = {'label': 'In labor force:!!Civilian labor force:!!Unemployed', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': predicateType}
			expected['B23025_005M'] = {'label': 'Margin of Error for!!In labor force:!!Civilian labor force:!!Unemployed', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': predicateType}
			expected['B23025_006E'] = {'label': 'In labor force:!!Armed Forces', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': predicateType}
			expected['B23025_006M'] = { 'label': 'Margin of Error for!!In labor force:!!Armed Forces', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': predicateType}
			expected['B23025_007E'] = {'label': 'Not in labor force', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': predicateType}
			expected['B23025_007M'] = {'label': 'Margin of Error for!!Not in labor force', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': predicateType}
			self.assertEqual(censusdata.censustable('acs3', year, 'B23025'), expected)
github jtleider / censusdata / test / test_variable_info.py View on Github external
expected = OrderedDict()
		expected['B23025_001E'] = {'label': 'Total:', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': 'int'}
		expected['B23025_001M'] = {'label': 'Margin Of Error For!!Total:', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': 'int'}
		expected['B23025_002E'] = {'label': 'In labor force:', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': 'int'}
		expected['B23025_002M'] = { 'label': 'Margin Of Error For!!In labor force:', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': 'int'}
		expected['B23025_003E'] = {'label': 'In labor force:!!Civilian labor force:', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': 'int'}
		expected['B23025_003M'] = {'label': 'Margin Of Error For!!In labor force:!!Civilian labor force:', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': 'int'}
		expected['B23025_004E'] = {'label': 'In labor force:!!Civilian labor force:!!Employed', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': 'int'}
		expected['B23025_004M'] = {'label': 'Margin Of Error For!!In labor force:!!Civilian labor force:!!Employed', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': 'int'}
		expected['B23025_005E'] = {'label': 'In labor force:!!Civilian labor force:!!Unemployed', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': 'int'}
		expected['B23025_005M'] = {'label': 'Margin Of Error For!!In labor force:!!Civilian labor force:!!Unemployed', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': 'int'}
		expected['B23025_006E'] = {'label': 'In labor force:!!Armed Forces', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': 'int'}
		expected['B23025_006M'] = { 'label': 'Margin Of Error For!!In labor force:!!Armed Forces', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': 'int'}
		expected['B23025_007E'] = {'label': 'Not in labor force', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': 'int'}
		expected['B23025_007M'] = {'label': 'Margin Of Error For!!Not in labor force', 'concept': 'B23025.  Employment Status for the Population 16 Years and Over', 'predicateType': 'int'}
		self.assertEqual(censusdata.censustable('acs5', 2015, 'B23025'), expected)
github jtleider / censusdata / test / test_variable_info.py View on Github external
expected['S0101_C02_022E'] = {'label': 'Male!!Estimate!!SELECTED AGE CATEGORIES!!18 to 24 years', 'concept': 'AGE AND SEX', 'predicateType': 'int'}
		expected['S0101_C02_023E'] = {'label': 'Male!!Estimate!!SELECTED AGE CATEGORIES!!15 to 44 years', 'concept': 'AGE AND SEX', 'predicateType': 'int'}
		expected['S0101_C02_024E'] = {'label': 'Male!!Estimate!!SELECTED AGE CATEGORIES!!16 years and over', 'concept': 'AGE AND SEX', 'predicateType': 'int'}
		expected['S0101_C02_025E'] = {'label': 'Male!!Estimate!!SELECTED AGE CATEGORIES!!18 years and over', 'concept': 'AGE AND SEX', 'predicateType': 'int'}
		expected['S0101_C02_026E'] = {'label': 'Male!!Estimate!!SELECTED AGE CATEGORIES!!60 years and over', 'concept': 'AGE AND SEX', 'predicateType': 'int'}
		expected['S0101_C02_027E'] = {'label': 'Male!!Estimate!!SELECTED AGE CATEGORIES!!62 years and over', 'concept': 'AGE AND SEX', 'predicateType': 'int'}
		expected['S0101_C02_028E'] = {'label': 'Male!!Estimate!!SELECTED AGE CATEGORIES!!65 years and over', 'concept': 'AGE AND SEX', 'predicateType': 'int'}
		expected['S0101_C02_029E'] = {'label': 'Male!!Estimate!!SELECTED AGE CATEGORIES!!75 years and over', 'concept': 'AGE AND SEX', 'predicateType': 'int'}
		expected['S0101_C02_030E'] = {'label': 'Male!!Estimate!!SUMMARY INDICATORS!!Median age (years)', 'concept': 'AGE AND SEX', 'predicateType': 'int'}
		expected['S0101_C02_031E'] = {'label': 'Male!!Estimate!!SUMMARY INDICATORS!!Sex ratio (males per 100 females)', 'concept': 'AGE AND SEX', 'predicateType': 'int'}
		expected['S0101_C02_032E'] = {'label': 'Male!!Estimate!!SUMMARY INDICATORS!!Age dependency ratio', 'concept': 'AGE AND SEX', 'predicateType': 'int'}
		expected['S0101_C02_033E'] = {'label': 'Male!!Estimate!!SUMMARY INDICATORS!!Old-age dependency ratio', 'concept': 'AGE AND SEX', 'predicateType': 'int'}
		expected['S0101_C02_034E'] = {'label': 'Male!!Estimate!!SUMMARY INDICATORS!!Child dependency ratio', 'concept': 'AGE AND SEX', 'predicateType': 'int'}
		expected['S0101_C02_035E'] = {'label': 'Male!!Estimate!!PERCENT ALLOCATED!!Sex', 'concept': 'AGE AND SEX', 'predicateType': 'int'}
		expected['S0101_C02_036E'] = {'label': 'Male!!Estimate!!PERCENT ALLOCATED!!Age', 'concept': 'AGE AND SEX', 'predicateType': 'int'}
		self.assertEqual(censusdata.censustable('acs5', 2016, 'S0101_C02'), expected)
github jtleider / censusdata / test / test_variable_info.py View on Github external
expected['K201601_006M'] = {'label': 'Margin of Error for!!Other languages:', 'concept': 'K201601. Household Language', 'predicateType': 'int'}
		expected['K201601_006MA'] = {'label': 'Margin of Error for!!Other languages:', 'concept': 'K201601. Household Language', 'predicateType': 'string'}
		expected['K201601_007E'] = {'label': 'Other languages:!!Limited English speaking household', 'concept': 'K201601. Household Language', 'predicateType': 'int'}
		expected['K201601_007EA'] = {'label': 'Other languages:!!Limited English speaking household', 'concept': 'K201601. Household Language', 'predicateType': 'string'}
		expected['K201601_007M'] = {'label': 'Margin of Error for!!Other languages:!!Limited English speaking household', 'concept': 'K201601. Household Language', 
			'predicateType': 'int'}
		expected['K201601_007MA'] = {'label': 'Margin of Error for!!Other languages:!!Limited English speaking household', 'concept': 'K201601. Household Language', 
			'predicateType': 'string'}
		expected['K201601_008E'] = {'label': 'Other languages:!!Not a limited English speaking household', 'concept': 'K201601. Household Language', 'predicateType': 'int'}
		expected['K201601_008EA'] = {'label': 'Other languages:!!Not a limited English speaking household', 'concept': 'K201601. Household Language', 'predicateType': 'string'}
		expected['K201601_008M'] = {'label': 'Margin of Error for!!Other languages:!!Not a limited English speaking household', 'concept': 'K201601. Household Language', 
			'predicateType': 'int'}
		expected['K201601_008MA'] = {'label': 'Margin of Error for!!Other languages:!!Not a limited English speaking household', 'concept': 'K201601. Household Language', 
			'predicateType': 'string'}
		for year in range(2014, 2015+1):
			self.assertEqual(censusdata.censustable('acsse', year, 'K201601'), expected)
		expected = OrderedDict()
		expected['K201601_001E'] = {'label': 'Estimate!!Total', 'concept': 'HOUSEHOLD LANGUAGE', 'predicateType': 'int'}
		expected['K201601_002E'] = {'label': 'Estimate!!Total!!English only', 'concept': 'HOUSEHOLD LANGUAGE', 'predicateType': 'int'}
		expected['K201601_003E'] = {'label': 'Estimate!!Total!!Spanish', 'concept': 'HOUSEHOLD LANGUAGE', 'predicateType': 'int'}
		expected['K201601_004E'] = {'label': 'Estimate!!Total!!Spanish!!Limited English speaking household', 'concept': 'HOUSEHOLD LANGUAGE', 'predicateType': 'int'}
		expected['K201601_005E'] = {'label': 'Estimate!!Total!!Spanish!!Not a limited English speaking household', 'concept': 'HOUSEHOLD LANGUAGE', 'predicateType': 'int'}
		expected['K201601_006E'] = {'label': 'Estimate!!Total!!Other languages', 'concept': 'HOUSEHOLD LANGUAGE', 'predicateType': 'int'}
		expected['K201601_007E'] = {'label': 'Estimate!!Total!!Other languages!!Limited English speaking household', 'concept': 'HOUSEHOLD LANGUAGE', 'predicateType': 'int'}
		expected['K201601_008E'] = {'label': 'Estimate!!Total!!Other languages!!Not a limited English speaking household', 'concept': 'HOUSEHOLD LANGUAGE', 'predicateType': 'int'}
		for year in range(2016, 2017+1):
			self.assertEqual(censusdata.censustable('acsse', year, 'K201601'), expected)
github jtleider / censusdata / test / test_variable_info.py View on Github external
'predicateType': 'int'}
		expected['K201601_008MA'] = {'label': 'Margin of Error for!!Other languages:!!Not a limited English speaking household', 'concept': 'K201601. Household Language', 
			'predicateType': 'string'}
		for year in range(2014, 2015+1):
			self.assertEqual(censusdata.censustable('acsse', year, 'K201601'), expected)
		expected = OrderedDict()
		expected['K201601_001E'] = {'label': 'Estimate!!Total', 'concept': 'HOUSEHOLD LANGUAGE', 'predicateType': 'int'}
		expected['K201601_002E'] = {'label': 'Estimate!!Total!!English only', 'concept': 'HOUSEHOLD LANGUAGE', 'predicateType': 'int'}
		expected['K201601_003E'] = {'label': 'Estimate!!Total!!Spanish', 'concept': 'HOUSEHOLD LANGUAGE', 'predicateType': 'int'}
		expected['K201601_004E'] = {'label': 'Estimate!!Total!!Spanish!!Limited English speaking household', 'concept': 'HOUSEHOLD LANGUAGE', 'predicateType': 'int'}
		expected['K201601_005E'] = {'label': 'Estimate!!Total!!Spanish!!Not a limited English speaking household', 'concept': 'HOUSEHOLD LANGUAGE', 'predicateType': 'int'}
		expected['K201601_006E'] = {'label': 'Estimate!!Total!!Other languages', 'concept': 'HOUSEHOLD LANGUAGE', 'predicateType': 'int'}
		expected['K201601_007E'] = {'label': 'Estimate!!Total!!Other languages!!Limited English speaking household', 'concept': 'HOUSEHOLD LANGUAGE', 'predicateType': 'int'}
		expected['K201601_008E'] = {'label': 'Estimate!!Total!!Other languages!!Not a limited English speaking household', 'concept': 'HOUSEHOLD LANGUAGE', 'predicateType': 'int'}
		for year in range(2016, 2017+1):
			self.assertEqual(censusdata.censustable('acsse', year, 'K201601'), expected)
github jtleider / censusdata / test / test_variable_info.py View on Github external
def test_censustable_acs5_2017_detail(self):
		expected = OrderedDict()
		expected['B23025_001E'] = {'label': 'Estimate!!Total', 'concept': 'EMPLOYMENT STATUS FOR THE POPULATION 16 YEARS AND OVER', 'predicateType': 'int'}
		expected['B23025_002E'] = {'label': 'Estimate!!Total!!In labor force', 'concept': 'EMPLOYMENT STATUS FOR THE POPULATION 16 YEARS AND OVER', 'predicateType': 'int'}
		expected['B23025_003E'] = {'label': 'Estimate!!Total!!In labor force!!Civilian labor force', 'concept': 'EMPLOYMENT STATUS FOR THE POPULATION 16 YEARS AND OVER', 'predicateType': 'int'}
		expected['B23025_004E'] = {'label': 'Estimate!!Total!!In labor force!!Civilian labor force!!Employed', 'concept': 'EMPLOYMENT STATUS FOR THE POPULATION 16 YEARS AND OVER', 'predicateType': 'int'}
		expected['B23025_005E'] = {'label': 'Estimate!!Total!!In labor force!!Civilian labor force!!Unemployed', 'concept': 'EMPLOYMENT STATUS FOR THE POPULATION 16 YEARS AND OVER', 'predicateType': 'int'}
		expected['B23025_006E'] = {'label': 'Estimate!!Total!!In labor force!!Armed Forces', 'concept': 'EMPLOYMENT STATUS FOR THE POPULATION 16 YEARS AND OVER', 'predicateType': 'int'}
		expected['B23025_007E'] = {'label': 'Estimate!!Total!!Not in labor force', 'concept': 'EMPLOYMENT STATUS FOR THE POPULATION 16 YEARS AND OVER', 'predicateType': 'int'}
		self.assertEqual(censusdata.censustable('acs5', 2017, 'B23025'), expected)
github jtleider / censusdata / test / test_variable_info.py View on Github external
def test_censustable_sf1(self):
		expected = OrderedDict()
		expected['P0020001'] = {'label': 'Total Population', 'concept': 'P2. Urban And Rural [6]', 'predicateType': ''}
		expected['P0020002'] = {'label': 'Urban:', 'concept': 'P2. Urban And Rural [6]', 'predicateType': ''}
		expected['P0020003'] = {'label': 'Urban: !! Inside urbanized areas', 'concept': 'P2. Urban And Rural [6]', 'predicateType': ''}
		expected['P0020004'] = {'label': 'Urban: !! Inside urban clusters', 'concept': 'P2. Urban And Rural [6]', 'predicateType': ''}
		expected['P0020005'] = {'label': 'Rural !! Inside urban clusters', 'concept': 'P2. Urban And Rural [6]', 'predicateType': ''}
		expected['P0020006'] = {'label': 'Not defined for this file !! Inside urban clusters', 'concept': 'P2. Urban And Rural [6]', 'predicateType': ''}
		self.assertEqual(censusdata.censustable('sf1', 2010, 'P002'), expected)
github jtleider / censusdata / test / test_variable_info.py View on Github external
expected['S0101_C02_033EA'] = {'label': 'Male!!Total population!!SUMMARY INDICATORS!!Old-age dependency ratio', 'concept': 'Age and Sex', 'predicateType': 'string'}
		expected['S0101_C02_033M'] = {'label': 'Male MOE!!Total population!!SUMMARY INDICATORS!!Old-age dependency ratio', 'concept': 'Age and Sex', 'predicateType': 'string'}
		expected['S0101_C02_033MA'] = {'label': 'Male MOE!!Total population!!SUMMARY INDICATORS!!Old-age dependency ratio', 'concept': 'Age and Sex', 'predicateType': 'string'}
		expected['S0101_C02_034E'] = {'label': 'Male!!Total population!!SUMMARY INDICATORS!!Child dependency ratio', 'concept': 'Age and Sex', 'predicateType': 'string'}
		expected['S0101_C02_034EA'] = {'label': 'Male!!Total population!!SUMMARY INDICATORS!!Child dependency ratio', 'concept': 'Age and Sex', 'predicateType': 'string'}
		expected['S0101_C02_034M'] = {'label': 'Male MOE!!Total population!!SUMMARY INDICATORS!!Child dependency ratio', 'concept': 'Age and Sex', 'predicateType': 'string'}
		expected['S0101_C02_034MA'] = {'label': 'Male MOE!!Total population!!SUMMARY INDICATORS!!Child dependency ratio', 'concept': 'Age and Sex', 'predicateType': 'string'}
		expected['S0101_C02_035E'] = {'label': 'Male!!PERCENT IMPUTED!!Sex', 'concept': 'Age and Sex', 'predicateType': 'string'}
		expected['S0101_C02_035EA'] = {'label': 'Male!!PERCENT IMPUTED!!Sex', 'concept': 'Age and Sex', 'predicateType': 'string'}
		expected['S0101_C02_035M'] = {'label': 'Male MOE!!PERCENT IMPUTED!!Sex', 'concept': 'Age and Sex', 'predicateType': 'string'}
		expected['S0101_C02_035MA'] = {'label': 'Male MOE!!PERCENT IMPUTED!!Sex', 'concept': 'Age and Sex', 'predicateType': 'string'}
		expected['S0101_C02_036E'] = {'label': 'Male!!PERCENT IMPUTED!!Age', 'concept': 'Age and Sex', 'predicateType': 'string'}
		expected['S0101_C02_036EA'] = {'label': 'Male!!PERCENT IMPUTED!!Age', 'concept': 'Age and Sex', 'predicateType': 'string'}
		expected['S0101_C02_036M'] = {'label': 'Male MOE!!PERCENT IMPUTED!!Age', 'concept': 'Age and Sex', 'predicateType': 'string'}
		expected['S0101_C02_036MA'] = {'label': 'Male MOE!!PERCENT IMPUTED!!Age', 'concept': 'Age and Sex', 'predicateType': 'string'}
		self.assertEqual(censusdata.censustable('acs5', 2015, 'S0101_C02'), expected)

CensusData

Download data from U.S. Census API

MIT
Latest version published 2 years ago

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