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|
%global _empty_manifest_terminate_build 0
Name: python-pandas_access
Version: 0.0.1
Release: 1
Summary: A tiny, subprocess-based tool for reading a MS Access database(.rdb) as a Pandas DataFrame.
License: License :: OSI Approved :: MIT License
URL: https://github.com/jbn/pandas_access
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/04/5d/019eb5f99b8d5ebee3e1e8f046482fd5b7c35ba2d02b8e8553798d01cfe9/pandas_access-0.0.1.tar.gz
BuildArch: noarch
%description
# What is this?
A tiny, `subprocess`-based tool for reading a
[MS Access](https://products.office.com/en-us/access)
database (`.rdb`) as a [Pandas](http://pandas.pydata.org/)
[DataFrame](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html).
## Installation
To read the database, this package (thinly!) wraps
[MDBTools](http://mdbtools.sourceforge.net/). Since I assume you're already
using Pandas, it should be your only installation requirement.
If you are on `OSX`, install it via [Homebrew](http://brew.sh/):
```sh
$ brew install mdbtools
```
Then, do,
```sh
$ pip install pandas_access
```
## Usage
```python
import pandas_access as mdb
# Listing the tables.
for tbl in mdb.list_tables("my.mdb"):
print(tbl)
# Read a small table.
df = pandas_access.read_table("my.mdb", "MyTable")
# Read a huge table.
accumulator = []
for chunk in pandas_access.read_table("my.mdb", "MyTable", chunksize=10000):
accumulator.append(f(chunk))
```
If you need more power than this, see:
[pyodbc](https://github.com/mkleehammer/pyodbc).
## Testing
I needed this code in a quick pinch -- I had no access to MS Access, and I had
a single `.mdb` file. If someone with Access would like to create a tiny
database for unit-testing purposes, I'd be much obliged.
%package -n python3-pandas_access
Summary: A tiny, subprocess-based tool for reading a MS Access database(.rdb) as a Pandas DataFrame.
Provides: python-pandas_access
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-pandas_access
# What is this?
A tiny, `subprocess`-based tool for reading a
[MS Access](https://products.office.com/en-us/access)
database (`.rdb`) as a [Pandas](http://pandas.pydata.org/)
[DataFrame](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html).
## Installation
To read the database, this package (thinly!) wraps
[MDBTools](http://mdbtools.sourceforge.net/). Since I assume you're already
using Pandas, it should be your only installation requirement.
If you are on `OSX`, install it via [Homebrew](http://brew.sh/):
```sh
$ brew install mdbtools
```
Then, do,
```sh
$ pip install pandas_access
```
## Usage
```python
import pandas_access as mdb
# Listing the tables.
for tbl in mdb.list_tables("my.mdb"):
print(tbl)
# Read a small table.
df = pandas_access.read_table("my.mdb", "MyTable")
# Read a huge table.
accumulator = []
for chunk in pandas_access.read_table("my.mdb", "MyTable", chunksize=10000):
accumulator.append(f(chunk))
```
If you need more power than this, see:
[pyodbc](https://github.com/mkleehammer/pyodbc).
## Testing
I needed this code in a quick pinch -- I had no access to MS Access, and I had
a single `.mdb` file. If someone with Access would like to create a tiny
database for unit-testing purposes, I'd be much obliged.
%package help
Summary: Development documents and examples for pandas_access
Provides: python3-pandas_access-doc
%description help
# What is this?
A tiny, `subprocess`-based tool for reading a
[MS Access](https://products.office.com/en-us/access)
database (`.rdb`) as a [Pandas](http://pandas.pydata.org/)
[DataFrame](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html).
## Installation
To read the database, this package (thinly!) wraps
[MDBTools](http://mdbtools.sourceforge.net/). Since I assume you're already
using Pandas, it should be your only installation requirement.
If you are on `OSX`, install it via [Homebrew](http://brew.sh/):
```sh
$ brew install mdbtools
```
Then, do,
```sh
$ pip install pandas_access
```
## Usage
```python
import pandas_access as mdb
# Listing the tables.
for tbl in mdb.list_tables("my.mdb"):
print(tbl)
# Read a small table.
df = pandas_access.read_table("my.mdb", "MyTable")
# Read a huge table.
accumulator = []
for chunk in pandas_access.read_table("my.mdb", "MyTable", chunksize=10000):
accumulator.append(f(chunk))
```
If you need more power than this, see:
[pyodbc](https://github.com/mkleehammer/pyodbc).
## Testing
I needed this code in a quick pinch -- I had no access to MS Access, and I had
a single `.mdb` file. If someone with Access would like to create a tiny
database for unit-testing purposes, I'd be much obliged.
%prep
%autosetup -n pandas_access-0.0.1
%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-pandas_access -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Apr 21 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.1-1
- Package Spec generated
|
