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%global _empty_manifest_terminate_build 0
Name: python-gviz-data-table
Version: 2.0.0
Release: 1
Summary: Python API for Google Visualization
License: BSD
URL: https://pypi.org/project/gviz-data-table/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/c3/6a/516ba42f4e85c548508a2aee130b0a5531f13e5517a9adab77dd676dcdf6/gviz_data_table-2.0.0.tar.gz
BuildArch: noarch
%description
Gviz Data Table is a simple Python library for converting Python data types
to the Google Visualization Data Table JSON format.
https://developers.google.com/chart/interactive/docs/reference
The Google Visualization Library itself is a Javascript library that provides
interactive charts that work in pretty much any browser. The libraries cover
most use cases including tables, as well as charts, so you can have a chart
and a table of the same data.
Gviz Data Table is designed primarily for use with data sources such as
databases. Usage is supposed to be minimal: you provide a schema, that is a
list of columns, and the rows of data. A column must have a name and Python
data type. It can also have a label which will be used for display, otherwise
the name will be used.
Each row is a sequence of cells. Although columns are explicit row names are
always the first cell in a row. Like columns, cells can also have labels.
Gviz Data Table will validate each cell to make sure that data conforms to
type specified in the schema and will map Python types to their JSON
equivalent but it does not coerce any data, i.e. if a column has type `int`
and a cell's data is a string containing numerical characters only this will
still raise an exception.
Gviz Data Table handles data conversion only. You will need to add the
necessary Javascript to an web page in order for any charts or table to be
drawn. Tables, columns and cells can all have options which are just
dictionaries. As there is no further definition of options no validation of
their items occurs. Unknown items will simply be ignored.
Gviz Data Table is composed of: one container class ``Table``; two data
classes, ``Cell`` and ``Column`` and one JSON encoder. Application code should
probably only ever need to use Table and the encoder.
%package -n python3-gviz-data-table
Summary: Python API for Google Visualization
Provides: python-gviz-data-table
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-gviz-data-table
Gviz Data Table is a simple Python library for converting Python data types
to the Google Visualization Data Table JSON format.
https://developers.google.com/chart/interactive/docs/reference
The Google Visualization Library itself is a Javascript library that provides
interactive charts that work in pretty much any browser. The libraries cover
most use cases including tables, as well as charts, so you can have a chart
and a table of the same data.
Gviz Data Table is designed primarily for use with data sources such as
databases. Usage is supposed to be minimal: you provide a schema, that is a
list of columns, and the rows of data. A column must have a name and Python
data type. It can also have a label which will be used for display, otherwise
the name will be used.
Each row is a sequence of cells. Although columns are explicit row names are
always the first cell in a row. Like columns, cells can also have labels.
Gviz Data Table will validate each cell to make sure that data conforms to
type specified in the schema and will map Python types to their JSON
equivalent but it does not coerce any data, i.e. if a column has type `int`
and a cell's data is a string containing numerical characters only this will
still raise an exception.
Gviz Data Table handles data conversion only. You will need to add the
necessary Javascript to an web page in order for any charts or table to be
drawn. Tables, columns and cells can all have options which are just
dictionaries. As there is no further definition of options no validation of
their items occurs. Unknown items will simply be ignored.
Gviz Data Table is composed of: one container class ``Table``; two data
classes, ``Cell`` and ``Column`` and one JSON encoder. Application code should
probably only ever need to use Table and the encoder.
%package help
Summary: Development documents and examples for gviz-data-table
Provides: python3-gviz-data-table-doc
%description help
Gviz Data Table is a simple Python library for converting Python data types
to the Google Visualization Data Table JSON format.
https://developers.google.com/chart/interactive/docs/reference
The Google Visualization Library itself is a Javascript library that provides
interactive charts that work in pretty much any browser. The libraries cover
most use cases including tables, as well as charts, so you can have a chart
and a table of the same data.
Gviz Data Table is designed primarily for use with data sources such as
databases. Usage is supposed to be minimal: you provide a schema, that is a
list of columns, and the rows of data. A column must have a name and Python
data type. It can also have a label which will be used for display, otherwise
the name will be used.
Each row is a sequence of cells. Although columns are explicit row names are
always the first cell in a row. Like columns, cells can also have labels.
Gviz Data Table will validate each cell to make sure that data conforms to
type specified in the schema and will map Python types to their JSON
equivalent but it does not coerce any data, i.e. if a column has type `int`
and a cell's data is a string containing numerical characters only this will
still raise an exception.
Gviz Data Table handles data conversion only. You will need to add the
necessary Javascript to an web page in order for any charts or table to be
drawn. Tables, columns and cells can all have options which are just
dictionaries. As there is no further definition of options no validation of
their items occurs. Unknown items will simply be ignored.
Gviz Data Table is composed of: one container class ``Table``; two data
classes, ``Cell`` and ``Column`` and one JSON encoder. Application code should
probably only ever need to use Table and the encoder.
%prep
%autosetup -n gviz-data-table-2.0.0
%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-gviz-data-table -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 2.0.0-1
- Package Spec generated
|
