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%global _empty_manifest_terminate_build 0
Name:		python-tableauhyperio
Version:	0.8.2
Release:	1
Summary:	Read and write Tableau hyper files using Pandas DataFrames
License:	BSD-3-Clause
URL:		https://github.com/AlexFrid/tableauhyperio
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/fe/15/949d32327d8fe40ae9622fb942147fe2ae69cb8b50121ce23afa055e4b25/tableauhyperio-0.8.2.tar.gz
BuildArch:	noarch

Requires:	python3-black
Requires:	python3-pandas
Requires:	python3-tqdm
Requires:	python3-tableauhyperapi
Requires:	python3-flake8

%description
#DEPRECATED

Go to https://github.com/innobi/pantab for a maintained package

# Tableau Hyper IO: read and write Tableau hyper files using Pandas DataFrames
[![PyPI](https://img.shields.io/pypi/v/tableauhyperio)](https://pypi.org/project/tableauhyperio)
[![PyPI - License](https://img.shields.io/pypi/l/tableauhyperio)](https://github.com/AlexFrid/tableauhyperio/blob/master/LICENSE)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

## What is it?
A simple way to read Tableau hyper files into Pandas DataFrames
and write to Tableau hyper files from Pandas DataFrames.

## Why was this made?
For a project I was working on I needed to read hyper files.
I searched if a package already existed and found only the [pandleau](https://pypi.org/project/pandleau/) package,
which only writes to hyper files but does not read them and also uses the older extract 2.0 API.
Since I couldn't find any other package that met my needs I decided to make one myself, which has been a good learning experience.

## Installation

You can install tableauhyperio using pip:
```bash
pip install tableauhyperio
```
This will also try downloading the Tableau hyper API, tqdm and pandas packages
if you don't have them already.

## Example usage
```python
import tableauhyperio as hio

# Reading a regular hyper file
df = hio.read_hyper("example.hyper")

# Reading a hyper file with a custom schema
df = hio.read_hyper("example.hyper", "my_schema")

# Writing a regular hyper file
hio.to_hyper(df, "example_output.hyper")

# Writing a hyper file with a custom schema and custom table name
hio.to_hyper(df, "example_output.hyper", "my_schema", "my_table")
```

## Dependencies
- [Pandas](https://pandas.pydata.org)
- [tableauhyperapi](https://help.tableau.com/current/api/hyper_api/en-us/index.html)
- [tqdm](https://github.com/tqdm/tqdm)


%package -n python3-tableauhyperio
Summary:	Read and write Tableau hyper files using Pandas DataFrames
Provides:	python-tableauhyperio
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-tableauhyperio
#DEPRECATED

Go to https://github.com/innobi/pantab for a maintained package

# Tableau Hyper IO: read and write Tableau hyper files using Pandas DataFrames
[![PyPI](https://img.shields.io/pypi/v/tableauhyperio)](https://pypi.org/project/tableauhyperio)
[![PyPI - License](https://img.shields.io/pypi/l/tableauhyperio)](https://github.com/AlexFrid/tableauhyperio/blob/master/LICENSE)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

## What is it?
A simple way to read Tableau hyper files into Pandas DataFrames
and write to Tableau hyper files from Pandas DataFrames.

## Why was this made?
For a project I was working on I needed to read hyper files.
I searched if a package already existed and found only the [pandleau](https://pypi.org/project/pandleau/) package,
which only writes to hyper files but does not read them and also uses the older extract 2.0 API.
Since I couldn't find any other package that met my needs I decided to make one myself, which has been a good learning experience.

## Installation

You can install tableauhyperio using pip:
```bash
pip install tableauhyperio
```
This will also try downloading the Tableau hyper API, tqdm and pandas packages
if you don't have them already.

## Example usage
```python
import tableauhyperio as hio

# Reading a regular hyper file
df = hio.read_hyper("example.hyper")

# Reading a hyper file with a custom schema
df = hio.read_hyper("example.hyper", "my_schema")

# Writing a regular hyper file
hio.to_hyper(df, "example_output.hyper")

# Writing a hyper file with a custom schema and custom table name
hio.to_hyper(df, "example_output.hyper", "my_schema", "my_table")
```

## Dependencies
- [Pandas](https://pandas.pydata.org)
- [tableauhyperapi](https://help.tableau.com/current/api/hyper_api/en-us/index.html)
- [tqdm](https://github.com/tqdm/tqdm)


%package help
Summary:	Development documents and examples for tableauhyperio
Provides:	python3-tableauhyperio-doc
%description help
#DEPRECATED

Go to https://github.com/innobi/pantab for a maintained package

# Tableau Hyper IO: read and write Tableau hyper files using Pandas DataFrames
[![PyPI](https://img.shields.io/pypi/v/tableauhyperio)](https://pypi.org/project/tableauhyperio)
[![PyPI - License](https://img.shields.io/pypi/l/tableauhyperio)](https://github.com/AlexFrid/tableauhyperio/blob/master/LICENSE)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

## What is it?
A simple way to read Tableau hyper files into Pandas DataFrames
and write to Tableau hyper files from Pandas DataFrames.

## Why was this made?
For a project I was working on I needed to read hyper files.
I searched if a package already existed and found only the [pandleau](https://pypi.org/project/pandleau/) package,
which only writes to hyper files but does not read them and also uses the older extract 2.0 API.
Since I couldn't find any other package that met my needs I decided to make one myself, which has been a good learning experience.

## Installation

You can install tableauhyperio using pip:
```bash
pip install tableauhyperio
```
This will also try downloading the Tableau hyper API, tqdm and pandas packages
if you don't have them already.

## Example usage
```python
import tableauhyperio as hio

# Reading a regular hyper file
df = hio.read_hyper("example.hyper")

# Reading a hyper file with a custom schema
df = hio.read_hyper("example.hyper", "my_schema")

# Writing a regular hyper file
hio.to_hyper(df, "example_output.hyper")

# Writing a hyper file with a custom schema and custom table name
hio.to_hyper(df, "example_output.hyper", "my_schema", "my_table")
```

## Dependencies
- [Pandas](https://pandas.pydata.org)
- [tableauhyperapi](https://help.tableau.com/current/api/hyper_api/en-us/index.html)
- [tqdm](https://github.com/tqdm/tqdm)


%prep
%autosetup -n tableauhyperio-0.8.2

%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-tableauhyperio -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.8.2-1
- Package Spec generated