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|
%global _empty_manifest_terminate_build 0
Name: python-pandablob
Version: 0.0.5
Release: 1
Summary: Functions to easily transform Azure blobs into pandas DataFrames and vice versa.
License: MIT
URL: https://github.com/uijl/pandablob
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/44/b4/f0652652709c410ce3039df278757f807d01897db47a1b3e1cb915634872/pandablob-0.0.5a.tar.gz
BuildArch: noarch
%description
[](https://pypi.org/project/pandablob/)
[](https://pepy.tech/project/pandablob)
# PandaBlob
Functions to easily transform Azure blobs into pandas DataFrames and vice versa.
## Installation
Installing PandaBlob via [pip](https://pip.pypa.io) is the preferred method, as it will always install the most recent stable release. If you do not have
[pip](https://pip.pypa.io) installed, this [Python installation guide](http://docs.python-guide.org/en/latest/starting/installation/) can guide you through the process.
To install PandaBlob, run this command in your terminal:
```bash
# Use pip to install PandaBlob
pip install pandablob
```
Downloading and installing PandaBlob from source is also possible, follow the code below.
```bash
# Download the package
git clone https://github.com/uijl/pandablob
# Go to the correct folder
cd pandablob
# Install package
pip install -e .
```
## Usage
The code snip below shows how you can use PandaBlob, all you need is a _[BlobClient](https://docs.microsoft.com/nl-nl/python/api/azure-storage-blob/azure.storage.blob.blobclient?view=azure-python)_ and possibly a pandas DataFrame or some keyword arguments for pandas.
```python
# Import the Azure SDK and pandablob
import pandablob
from azure.storage.blob import ContainerClient
# Your Azure Credentials
account_url = "https://my_account_url.blob.core.windows.net/"
token = "your_key_string"
container = "your_container"
blobname = "your_blob_name.csv"
container_client = ContainerClient(account_url, container, credential=token)
blob_client = container_client.get_blob_client(blob=blobname)
# Specifiy your pandas keyword arguments
pandas_kwargs = {"index_col": 0}
# Read the blob as a pandas DataFrame
df = pandablob.blob_to_df(blob_client, pandas_kwargs)
```
## Potential errors
There are three common errors that can be returned. Two are related to the blob storage and one because of the current limitations of pandablob.
- **ResourceExistsError** - If the specified blob is already on the blob, this error is returned. There are two options, you can add the `overwrite=True` argument to your `df_to_blob` function or you can catch the exception. If you wish to enter it in an except statement, you can import it using `from azure.core.exceptions import ResourceExistsError`;
- **ResourceNotFoundError** - If the specified blob is not found, this error is returned. If you wish to enter it in an except statement, you can import it using `from azure.core.exceptions import ResourceNotFoundError`;
- **TypeError** - This error is returned by pandablob if you want to upload or download an extensiontype that is not yet supported. Currently only the following extensions are supported: `.csv` `.json` `.txt`, `.xls` and `.xlsx`.
## To do list:
Some other stuff that needs to be done:
- [ ] Include other files;
- [x] Easier downloading a .csv file;
- [x] Added MIT license.
%package -n python3-pandablob
Summary: Functions to easily transform Azure blobs into pandas DataFrames and vice versa.
Provides: python-pandablob
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-pandablob
[](https://pypi.org/project/pandablob/)
[](https://pepy.tech/project/pandablob)
# PandaBlob
Functions to easily transform Azure blobs into pandas DataFrames and vice versa.
## Installation
Installing PandaBlob via [pip](https://pip.pypa.io) is the preferred method, as it will always install the most recent stable release. If you do not have
[pip](https://pip.pypa.io) installed, this [Python installation guide](http://docs.python-guide.org/en/latest/starting/installation/) can guide you through the process.
To install PandaBlob, run this command in your terminal:
```bash
# Use pip to install PandaBlob
pip install pandablob
```
Downloading and installing PandaBlob from source is also possible, follow the code below.
```bash
# Download the package
git clone https://github.com/uijl/pandablob
# Go to the correct folder
cd pandablob
# Install package
pip install -e .
```
## Usage
The code snip below shows how you can use PandaBlob, all you need is a _[BlobClient](https://docs.microsoft.com/nl-nl/python/api/azure-storage-blob/azure.storage.blob.blobclient?view=azure-python)_ and possibly a pandas DataFrame or some keyword arguments for pandas.
```python
# Import the Azure SDK and pandablob
import pandablob
from azure.storage.blob import ContainerClient
# Your Azure Credentials
account_url = "https://my_account_url.blob.core.windows.net/"
token = "your_key_string"
container = "your_container"
blobname = "your_blob_name.csv"
container_client = ContainerClient(account_url, container, credential=token)
blob_client = container_client.get_blob_client(blob=blobname)
# Specifiy your pandas keyword arguments
pandas_kwargs = {"index_col": 0}
# Read the blob as a pandas DataFrame
df = pandablob.blob_to_df(blob_client, pandas_kwargs)
```
## Potential errors
There are three common errors that can be returned. Two are related to the blob storage and one because of the current limitations of pandablob.
- **ResourceExistsError** - If the specified blob is already on the blob, this error is returned. There are two options, you can add the `overwrite=True` argument to your `df_to_blob` function or you can catch the exception. If you wish to enter it in an except statement, you can import it using `from azure.core.exceptions import ResourceExistsError`;
- **ResourceNotFoundError** - If the specified blob is not found, this error is returned. If you wish to enter it in an except statement, you can import it using `from azure.core.exceptions import ResourceNotFoundError`;
- **TypeError** - This error is returned by pandablob if you want to upload or download an extensiontype that is not yet supported. Currently only the following extensions are supported: `.csv` `.json` `.txt`, `.xls` and `.xlsx`.
## To do list:
Some other stuff that needs to be done:
- [ ] Include other files;
- [x] Easier downloading a .csv file;
- [x] Added MIT license.
%package help
Summary: Development documents and examples for pandablob
Provides: python3-pandablob-doc
%description help
[](https://pypi.org/project/pandablob/)
[](https://pepy.tech/project/pandablob)
# PandaBlob
Functions to easily transform Azure blobs into pandas DataFrames and vice versa.
## Installation
Installing PandaBlob via [pip](https://pip.pypa.io) is the preferred method, as it will always install the most recent stable release. If you do not have
[pip](https://pip.pypa.io) installed, this [Python installation guide](http://docs.python-guide.org/en/latest/starting/installation/) can guide you through the process.
To install PandaBlob, run this command in your terminal:
```bash
# Use pip to install PandaBlob
pip install pandablob
```
Downloading and installing PandaBlob from source is also possible, follow the code below.
```bash
# Download the package
git clone https://github.com/uijl/pandablob
# Go to the correct folder
cd pandablob
# Install package
pip install -e .
```
## Usage
The code snip below shows how you can use PandaBlob, all you need is a _[BlobClient](https://docs.microsoft.com/nl-nl/python/api/azure-storage-blob/azure.storage.blob.blobclient?view=azure-python)_ and possibly a pandas DataFrame or some keyword arguments for pandas.
```python
# Import the Azure SDK and pandablob
import pandablob
from azure.storage.blob import ContainerClient
# Your Azure Credentials
account_url = "https://my_account_url.blob.core.windows.net/"
token = "your_key_string"
container = "your_container"
blobname = "your_blob_name.csv"
container_client = ContainerClient(account_url, container, credential=token)
blob_client = container_client.get_blob_client(blob=blobname)
# Specifiy your pandas keyword arguments
pandas_kwargs = {"index_col": 0}
# Read the blob as a pandas DataFrame
df = pandablob.blob_to_df(blob_client, pandas_kwargs)
```
## Potential errors
There are three common errors that can be returned. Two are related to the blob storage and one because of the current limitations of pandablob.
- **ResourceExistsError** - If the specified blob is already on the blob, this error is returned. There are two options, you can add the `overwrite=True` argument to your `df_to_blob` function or you can catch the exception. If you wish to enter it in an except statement, you can import it using `from azure.core.exceptions import ResourceExistsError`;
- **ResourceNotFoundError** - If the specified blob is not found, this error is returned. If you wish to enter it in an except statement, you can import it using `from azure.core.exceptions import ResourceNotFoundError`;
- **TypeError** - This error is returned by pandablob if you want to upload or download an extensiontype that is not yet supported. Currently only the following extensions are supported: `.csv` `.json` `.txt`, `.xls` and `.xlsx`.
## To do list:
Some other stuff that needs to be done:
- [ ] Include other files;
- [x] Easier downloading a .csv file;
- [x] Added MIT license.
%prep
%autosetup -n pandablob-0.0.5
%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-pandablob -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu May 18 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.5-1
- Package Spec generated
|
