From 7e568da9d218b878aac08b07a396ddca2c64bee1 Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Wed, 12 Apr 2023 04:01:09 +0000 Subject: automatic import of python-censusdata --- .gitignore | 1 + python-censusdata.spec | 258 +++++++++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 260 insertions(+) create mode 100644 python-censusdata.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..b90ac4f 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/CensusData-1.15.post1.tar.gz diff --git a/python-censusdata.spec b/python-censusdata.spec new file mode 100644 index 0000000..3c37e0c --- /dev/null +++ b/python-censusdata.spec @@ -0,0 +1,258 @@ +%global _empty_manifest_terminate_build 0 +Name: python-CensusData +Version: 1.15.post1 +Release: 1 +Summary: Download data from U.S. Census API +License: MIT +URL: https://github.com/jtleider/censusdata +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/26/c1/5cdd3daea8df1d24fe0d59cf7cdb11a4ffea6c6c4230dcb125c28ea9d513/CensusData-1.15.post1.tar.gz +BuildArch: noarch + + +%description +*NOTE: as of March 28, 2022, I am unable to continue providing updates to this +package. While it should still work for the release years it was originally +written for, I cannot guarantee that. The code is freely available for +modification as needed for the years the package was written for, or +to add support for more recent years of data.* + +This package is designed to provide easy access to the U.S. Census Bureau's +API (https://www.census.gov/developers/) in Python. It supports pulling data +from the American Community Survey (ACS) and the Census Summary File, +specifically: + +* ACS 5-year estimates (2005-2009 to 2015-2019), +* ACS 1-year estimates (2012-2019), +* ACS 3-year estimates (2010-2012 to 2011-2013), +* ACS 1-year supplemental estimates (2014-2019), +* Census 2010 Summary File 1. + +This package handles the details of interacting with the Census API for you, +so that you can focus on working with the data. It provides a class for +representing Census geographies. It also provides functions +for gaining further information about specific variables and tables and +for searching for variables. Full documentation is available at +https://jtleider.github.io/censusdata/. + +The ACS (https://www.census.gov/programs-surveys/acs/) +started in 2005. It provides information on a wide range of social, economic, +demographic, and housing characteristics. Topics covered include +income, employment, health insurance, the age distribution, and education, among +many others. The ACS replaces the old Census long form, which used to be +distributed to a subset of households responding to the decennial Census. +The ACS produces survey-based period estimates. For instance, the +5-year 2011-2015 estimates are based on data collected during all 5 years. +They are not simply an aggregate of 1-year estimates, and overlapping +5-year estimates (e.g., 2008-2012 and 2011-2015) should *not* be compared. +The ACS provides margins of error to accompany all estimates. Margins of +error are smaller for estimates based on more years of data. + +ACS 5-year estimates are the least current but provide the greatest precision +and are available for geographies of all sizes +(https://www.census.gov/programs-surveys/acs/guidance/estimates.html). By +contrast, 1-year estimates are the most current but the least precise and are +only available for geographies with populations of 65,000+. +In between are the 1-year supplemental estimates or, in past years, the +3-year estimates, both of which are for geographies with populations of +20,000+. The choice of which ACS estimates to use will depend on your needs +for current data vs. data for a variety of geographies with greater +precision. + +The decennial Census counts every resident of the United States. The 2010 +Census Summary File 1 provides information about each community's population, +including age, sex, and race distributions, as well as information +on households and families. (Summary File 2 provides additional data +for specific racial/ethnic groups.) + +There are a number of facilities available for downloading Census +data, including American FactFinder, the ACS summary files, +and the Census DataFerrett. This package is designed to provide +the following features not available elsewhere: + +* Easy download of specific variables across a variety of tables, downloading only the variables you need for the geographies of interest to you. This bypasses data processing hassles associated with working with other sources like the ACS Summary Files. +* Access to the exact variables of interest, with variable names making it easy to look up further information on the source tables or to pull up other years of data. This facilitates work by more technical users. +* Download data for multiple geographies at once, such as all counties in the United States, or all block groups in Illinois. +* Work with the data as a Pandas data frame, or export to CSV for analysis in other data analysis packages. + +%package -n python3-CensusData +Summary: Download data from U.S. Census API +Provides: python-CensusData +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-CensusData +*NOTE: as of March 28, 2022, I am unable to continue providing updates to this +package. While it should still work for the release years it was originally +written for, I cannot guarantee that. The code is freely available for +modification as needed for the years the package was written for, or +to add support for more recent years of data.* + +This package is designed to provide easy access to the U.S. Census Bureau's +API (https://www.census.gov/developers/) in Python. It supports pulling data +from the American Community Survey (ACS) and the Census Summary File, +specifically: + +* ACS 5-year estimates (2005-2009 to 2015-2019), +* ACS 1-year estimates (2012-2019), +* ACS 3-year estimates (2010-2012 to 2011-2013), +* ACS 1-year supplemental estimates (2014-2019), +* Census 2010 Summary File 1. + +This package handles the details of interacting with the Census API for you, +so that you can focus on working with the data. It provides a class for +representing Census geographies. It also provides functions +for gaining further information about specific variables and tables and +for searching for variables. Full documentation is available at +https://jtleider.github.io/censusdata/. + +The ACS (https://www.census.gov/programs-surveys/acs/) +started in 2005. It provides information on a wide range of social, economic, +demographic, and housing characteristics. Topics covered include +income, employment, health insurance, the age distribution, and education, among +many others. The ACS replaces the old Census long form, which used to be +distributed to a subset of households responding to the decennial Census. +The ACS produces survey-based period estimates. For instance, the +5-year 2011-2015 estimates are based on data collected during all 5 years. +They are not simply an aggregate of 1-year estimates, and overlapping +5-year estimates (e.g., 2008-2012 and 2011-2015) should *not* be compared. +The ACS provides margins of error to accompany all estimates. Margins of +error are smaller for estimates based on more years of data. + +ACS 5-year estimates are the least current but provide the greatest precision +and are available for geographies of all sizes +(https://www.census.gov/programs-surveys/acs/guidance/estimates.html). By +contrast, 1-year estimates are the most current but the least precise and are +only available for geographies with populations of 65,000+. +In between are the 1-year supplemental estimates or, in past years, the +3-year estimates, both of which are for geographies with populations of +20,000+. The choice of which ACS estimates to use will depend on your needs +for current data vs. data for a variety of geographies with greater +precision. + +The decennial Census counts every resident of the United States. The 2010 +Census Summary File 1 provides information about each community's population, +including age, sex, and race distributions, as well as information +on households and families. (Summary File 2 provides additional data +for specific racial/ethnic groups.) + +There are a number of facilities available for downloading Census +data, including American FactFinder, the ACS summary files, +and the Census DataFerrett. This package is designed to provide +the following features not available elsewhere: + +* Easy download of specific variables across a variety of tables, downloading only the variables you need for the geographies of interest to you. This bypasses data processing hassles associated with working with other sources like the ACS Summary Files. +* Access to the exact variables of interest, with variable names making it easy to look up further information on the source tables or to pull up other years of data. This facilitates work by more technical users. +* Download data for multiple geographies at once, such as all counties in the United States, or all block groups in Illinois. +* Work with the data as a Pandas data frame, or export to CSV for analysis in other data analysis packages. + +%package help +Summary: Development documents and examples for CensusData +Provides: python3-CensusData-doc +%description help +*NOTE: as of March 28, 2022, I am unable to continue providing updates to this +package. While it should still work for the release years it was originally +written for, I cannot guarantee that. The code is freely available for +modification as needed for the years the package was written for, or +to add support for more recent years of data.* + +This package is designed to provide easy access to the U.S. Census Bureau's +API (https://www.census.gov/developers/) in Python. It supports pulling data +from the American Community Survey (ACS) and the Census Summary File, +specifically: + +* ACS 5-year estimates (2005-2009 to 2015-2019), +* ACS 1-year estimates (2012-2019), +* ACS 3-year estimates (2010-2012 to 2011-2013), +* ACS 1-year supplemental estimates (2014-2019), +* Census 2010 Summary File 1. + +This package handles the details of interacting with the Census API for you, +so that you can focus on working with the data. It provides a class for +representing Census geographies. It also provides functions +for gaining further information about specific variables and tables and +for searching for variables. Full documentation is available at +https://jtleider.github.io/censusdata/. + +The ACS (https://www.census.gov/programs-surveys/acs/) +started in 2005. It provides information on a wide range of social, economic, +demographic, and housing characteristics. Topics covered include +income, employment, health insurance, the age distribution, and education, among +many others. The ACS replaces the old Census long form, which used to be +distributed to a subset of households responding to the decennial Census. +The ACS produces survey-based period estimates. For instance, the +5-year 2011-2015 estimates are based on data collected during all 5 years. +They are not simply an aggregate of 1-year estimates, and overlapping +5-year estimates (e.g., 2008-2012 and 2011-2015) should *not* be compared. +The ACS provides margins of error to accompany all estimates. Margins of +error are smaller for estimates based on more years of data. + +ACS 5-year estimates are the least current but provide the greatest precision +and are available for geographies of all sizes +(https://www.census.gov/programs-surveys/acs/guidance/estimates.html). By +contrast, 1-year estimates are the most current but the least precise and are +only available for geographies with populations of 65,000+. +In between are the 1-year supplemental estimates or, in past years, the +3-year estimates, both of which are for geographies with populations of +20,000+. The choice of which ACS estimates to use will depend on your needs +for current data vs. data for a variety of geographies with greater +precision. + +The decennial Census counts every resident of the United States. The 2010 +Census Summary File 1 provides information about each community's population, +including age, sex, and race distributions, as well as information +on households and families. (Summary File 2 provides additional data +for specific racial/ethnic groups.) + +There are a number of facilities available for downloading Census +data, including American FactFinder, the ACS summary files, +and the Census DataFerrett. This package is designed to provide +the following features not available elsewhere: + +* Easy download of specific variables across a variety of tables, downloading only the variables you need for the geographies of interest to you. This bypasses data processing hassles associated with working with other sources like the ACS Summary Files. +* Access to the exact variables of interest, with variable names making it easy to look up further information on the source tables or to pull up other years of data. This facilitates work by more technical users. +* Download data for multiple geographies at once, such as all counties in the United States, or all block groups in Illinois. +* Work with the data as a Pandas data frame, or export to CSV for analysis in other data analysis packages. + +%prep +%autosetup -n CensusData-1.15.post1 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-CensusData -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Wed Apr 12 2023 Python_Bot - 1.15.post1-1 +- Package Spec generated diff --git a/sources b/sources new file mode 100644 index 0000000..9aecb15 --- /dev/null +++ b/sources @@ -0,0 +1 @@ +c1bcd2e135c22b90ac81943f17677c97 CensusData-1.15.post1.tar.gz -- cgit v1.2.3