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%global _empty_manifest_terminate_build 0
Name: python-dataiter
Version: 0.43
Release: 1
Summary: Classes for data manipulation
License: MIT
URL: https://github.com/otsaloma/dataiter
Source0: https://mirrors.aliyun.com/pypi/web/packages/38/25/e5498a00d5d8f07c11e98499bc4192b8080bc6c4d4e5b568f765b9122e38/dataiter-0.43.tar.gz
BuildArch: noarch
Requires: python3-attd
Requires: python3-numpy
Requires: python3-pandas
%description
[](https://github.com/otsaloma/dataiter/actions)
[](https://dataiter.readthedocs.io/en/latest/?badge=latest)
[](https://pypi.org/project/dataiter/)
[](https://pepy.tech/project/dataiter)
Dataiter currently includes the following classes.
**`DataFrame`** is a class for tabular data similar to R's `data.frame`
or `pandas.DataFrame`. It is under the hood a dictionary of NumPy arrays
and thus capable of fast vectorized operations. You can consider this to
be a light-weight alternative to Pandas with a simple and consistent
API. Performance-wise Dataiter relies on NumPy and Numba and is likely
to be at best comparable to Pandas.
**`ListOfDicts`** is a class useful for manipulating data from JSON
APIs. It provides functionality similar to libraries such as
Underscore.js, with manipulation functions that iterate over the data
and return a shallow modified copy of the original. `attd.AttributeDict`
is used to provide convenient access to dictionary keys.
**`GeoJSON`** is a simple wrapper class that allows reading a GeoJSON
file into a `DataFrame` and writing a data frame to a GeoJSON file. Any
operations on the data are thus done with methods provided by the data
frame class. Geometry is read as-is into the "geometry" column, but no
special geometric operations are currently supported.
## Installation
```bash
# Latest stable version
pip install -U dataiter
# Latest development version
pip install -U git+https://github.com/otsaloma/dataiter
# Numba (optional)
pip install -U numba
```
Dataiter optionally uses **Numba** to speed up certain operations. If
you have Numba installed and importing it succeeds, Dataiter will use it
automatically. It's currently not a hard dependency, so you need to
install it separately.
## Documentation
https://dataiter.readthedocs.io/
If you're familiar with either dplyr (R) or Pandas (Python), the
comparison table in the documentation will give you a quick overview of
the differences and similarities.
https://dataiter.readthedocs.io/en/latest/comparison.html
%package -n python3-dataiter
Summary: Classes for data manipulation
Provides: python-dataiter
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-dataiter
[](https://github.com/otsaloma/dataiter/actions)
[](https://dataiter.readthedocs.io/en/latest/?badge=latest)
[](https://pypi.org/project/dataiter/)
[](https://pepy.tech/project/dataiter)
Dataiter currently includes the following classes.
**`DataFrame`** is a class for tabular data similar to R's `data.frame`
or `pandas.DataFrame`. It is under the hood a dictionary of NumPy arrays
and thus capable of fast vectorized operations. You can consider this to
be a light-weight alternative to Pandas with a simple and consistent
API. Performance-wise Dataiter relies on NumPy and Numba and is likely
to be at best comparable to Pandas.
**`ListOfDicts`** is a class useful for manipulating data from JSON
APIs. It provides functionality similar to libraries such as
Underscore.js, with manipulation functions that iterate over the data
and return a shallow modified copy of the original. `attd.AttributeDict`
is used to provide convenient access to dictionary keys.
**`GeoJSON`** is a simple wrapper class that allows reading a GeoJSON
file into a `DataFrame` and writing a data frame to a GeoJSON file. Any
operations on the data are thus done with methods provided by the data
frame class. Geometry is read as-is into the "geometry" column, but no
special geometric operations are currently supported.
## Installation
```bash
# Latest stable version
pip install -U dataiter
# Latest development version
pip install -U git+https://github.com/otsaloma/dataiter
# Numba (optional)
pip install -U numba
```
Dataiter optionally uses **Numba** to speed up certain operations. If
you have Numba installed and importing it succeeds, Dataiter will use it
automatically. It's currently not a hard dependency, so you need to
install it separately.
## Documentation
https://dataiter.readthedocs.io/
If you're familiar with either dplyr (R) or Pandas (Python), the
comparison table in the documentation will give you a quick overview of
the differences and similarities.
https://dataiter.readthedocs.io/en/latest/comparison.html
%package help
Summary: Development documents and examples for dataiter
Provides: python3-dataiter-doc
%description help
[](https://github.com/otsaloma/dataiter/actions)
[](https://dataiter.readthedocs.io/en/latest/?badge=latest)
[](https://pypi.org/project/dataiter/)
[](https://pepy.tech/project/dataiter)
Dataiter currently includes the following classes.
**`DataFrame`** is a class for tabular data similar to R's `data.frame`
or `pandas.DataFrame`. It is under the hood a dictionary of NumPy arrays
and thus capable of fast vectorized operations. You can consider this to
be a light-weight alternative to Pandas with a simple and consistent
API. Performance-wise Dataiter relies on NumPy and Numba and is likely
to be at best comparable to Pandas.
**`ListOfDicts`** is a class useful for manipulating data from JSON
APIs. It provides functionality similar to libraries such as
Underscore.js, with manipulation functions that iterate over the data
and return a shallow modified copy of the original. `attd.AttributeDict`
is used to provide convenient access to dictionary keys.
**`GeoJSON`** is a simple wrapper class that allows reading a GeoJSON
file into a `DataFrame` and writing a data frame to a GeoJSON file. Any
operations on the data are thus done with methods provided by the data
frame class. Geometry is read as-is into the "geometry" column, but no
special geometric operations are currently supported.
## Installation
```bash
# Latest stable version
pip install -U dataiter
# Latest development version
pip install -U git+https://github.com/otsaloma/dataiter
# Numba (optional)
pip install -U numba
```
Dataiter optionally uses **Numba** to speed up certain operations. If
you have Numba installed and importing it succeeds, Dataiter will use it
automatically. It's currently not a hard dependency, so you need to
install it separately.
## Documentation
https://dataiter.readthedocs.io/
If you're familiar with either dplyr (R) or Pandas (Python), the
comparison table in the documentation will give you a quick overview of
the differences and similarities.
https://dataiter.readthedocs.io/en/latest/comparison.html
%prep
%autosetup -n dataiter-0.43
%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-dataiter -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 0.43-1
- Package Spec generated
|
