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|
%global _empty_manifest_terminate_build 0
Name: python-bae0n-utils
Version: 0.1.2
Release: 1
Summary: Utility functions to be used in Python
License: MIT License
URL: https://github.com/aeonwilliams/bae0n_utils/blob/main/README.md
Source0: https://mirrors.aliyun.com/pypi/web/packages/84/f6/0af452486b48a21b3e8bd876561f7dfd919ef9bb3dc7abf44f4b08bfb4ef/bae0n-utils-0.1.2.tar.gz
BuildArch: noarch
Requires: python3-Pillow
Requires: python3-numpy
Requires: python3-pandas
Requires: python3-pathlib
%description
# bae0n_utils
Collection of utility functions to be used in Python.
### ColoredText(r, g, b, text)
#### ex: print(ColoredText(255, 0, 0, 'Hello World'))
Displays colored text in the console.
params:
- r - Value from 0-255 for Red
- g - Value from 0-255 for Green
- b - Value from 0-255 for Blue
- text - Text to display with color
Returns:
Modified text string, now with the given color.
### FitCellsToWindow
#### ex: FitCellsToWindow()
Fits Jupyter cells to window size.
### ActivateCellDoneSound
#### ex: ActivateCellDoneSound(url='https://bigsoundbank.com/UPLOAD/mp3/0116.mp3')
Plays a sound effect when a cell is complete. Currently kind of buggy with a failed cell.
params:
- url (optional) - url of the sound you want to play. Accepts .wav and .mp3
### ActivateCellFailSound
#### ex: ActivateCellFailSound()
Plays a sound effect if the cell execution fails.
### ClearDir
#### ex: ClearDir('./images')
Removes all files from a directory.
params:
- path - The source directory of the images to turn into a gif. Must include preceding ./, should not include ending /
- safe_del - Prompts user input for confirmation if set to True.
Default Value: True
### MakeGif
#### ex: MakeGif('./data', './', 'test', 100, 'jpg')
Turns a directory of images into a gif.
params:
- source_dir - The source directory of the images to turn into a gif. Must include preceding ./
- out_dir - The directory to save the gif to. Must include preceding ./
- gif_name - The name of the gif. Do not include filetype.
- duration - Number of frames in the gif...I think.
- file_type - File extension for the images. Do not include preceding .
### CorrMatrixAnalysis
Displays in depth analysis of the correlation between features. Currently only addresses correlation of dependent feature to independent features, but will be updated soon.
params:
- df - The dataframe to analyze.
- dep_feature - The dependent feature.
#### example call:
df = pd.read_csv('Iris.csv')
CorrMatrixAnalysis(df, 'species')
Example output:
```
Features With High Correlation to diagnosis:
-0.79 - concave points_worst
-0.78 - perimeter_worst
-0.78 - concave points_mean
-0.78 - radius_worst
-0.74 - perimeter_mean
-0.73 - area_worst
-0.73 - radius_mean
-0.71 - area_mean
Features With Moderate Correlation to diagnosis:
-0.70 - concavity_mean
-0.66 - concavity_worst
-0.60 - compactness_mean
-0.59 - compactness_worst
-0.57 - radius_se
-0.56 - perimeter_se
-0.55 - area_se
Features With No Correlation to diagnosis:
-0.29 - compactness_se
-0.25 - concavity_se
-0.08 - fractal_dimension_se
0.07 - smoothness_se
-0.04 - id
0.01 - fractal_dimension_mean
0.01 - texture_se
0.01 - symmetry_se
```
Many thanks to my muse for the constant inspiration, great ideas, and support <3
%package -n python3-bae0n-utils
Summary: Utility functions to be used in Python
Provides: python-bae0n-utils
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-bae0n-utils
# bae0n_utils
Collection of utility functions to be used in Python.
### ColoredText(r, g, b, text)
#### ex: print(ColoredText(255, 0, 0, 'Hello World'))
Displays colored text in the console.
params:
- r - Value from 0-255 for Red
- g - Value from 0-255 for Green
- b - Value from 0-255 for Blue
- text - Text to display with color
Returns:
Modified text string, now with the given color.
### FitCellsToWindow
#### ex: FitCellsToWindow()
Fits Jupyter cells to window size.
### ActivateCellDoneSound
#### ex: ActivateCellDoneSound(url='https://bigsoundbank.com/UPLOAD/mp3/0116.mp3')
Plays a sound effect when a cell is complete. Currently kind of buggy with a failed cell.
params:
- url (optional) - url of the sound you want to play. Accepts .wav and .mp3
### ActivateCellFailSound
#### ex: ActivateCellFailSound()
Plays a sound effect if the cell execution fails.
### ClearDir
#### ex: ClearDir('./images')
Removes all files from a directory.
params:
- path - The source directory of the images to turn into a gif. Must include preceding ./, should not include ending /
- safe_del - Prompts user input for confirmation if set to True.
Default Value: True
### MakeGif
#### ex: MakeGif('./data', './', 'test', 100, 'jpg')
Turns a directory of images into a gif.
params:
- source_dir - The source directory of the images to turn into a gif. Must include preceding ./
- out_dir - The directory to save the gif to. Must include preceding ./
- gif_name - The name of the gif. Do not include filetype.
- duration - Number of frames in the gif...I think.
- file_type - File extension for the images. Do not include preceding .
### CorrMatrixAnalysis
Displays in depth analysis of the correlation between features. Currently only addresses correlation of dependent feature to independent features, but will be updated soon.
params:
- df - The dataframe to analyze.
- dep_feature - The dependent feature.
#### example call:
df = pd.read_csv('Iris.csv')
CorrMatrixAnalysis(df, 'species')
Example output:
```
Features With High Correlation to diagnosis:
-0.79 - concave points_worst
-0.78 - perimeter_worst
-0.78 - concave points_mean
-0.78 - radius_worst
-0.74 - perimeter_mean
-0.73 - area_worst
-0.73 - radius_mean
-0.71 - area_mean
Features With Moderate Correlation to diagnosis:
-0.70 - concavity_mean
-0.66 - concavity_worst
-0.60 - compactness_mean
-0.59 - compactness_worst
-0.57 - radius_se
-0.56 - perimeter_se
-0.55 - area_se
Features With No Correlation to diagnosis:
-0.29 - compactness_se
-0.25 - concavity_se
-0.08 - fractal_dimension_se
0.07 - smoothness_se
-0.04 - id
0.01 - fractal_dimension_mean
0.01 - texture_se
0.01 - symmetry_se
```
Many thanks to my muse for the constant inspiration, great ideas, and support <3
%package help
Summary: Development documents and examples for bae0n-utils
Provides: python3-bae0n-utils-doc
%description help
# bae0n_utils
Collection of utility functions to be used in Python.
### ColoredText(r, g, b, text)
#### ex: print(ColoredText(255, 0, 0, 'Hello World'))
Displays colored text in the console.
params:
- r - Value from 0-255 for Red
- g - Value from 0-255 for Green
- b - Value from 0-255 for Blue
- text - Text to display with color
Returns:
Modified text string, now with the given color.
### FitCellsToWindow
#### ex: FitCellsToWindow()
Fits Jupyter cells to window size.
### ActivateCellDoneSound
#### ex: ActivateCellDoneSound(url='https://bigsoundbank.com/UPLOAD/mp3/0116.mp3')
Plays a sound effect when a cell is complete. Currently kind of buggy with a failed cell.
params:
- url (optional) - url of the sound you want to play. Accepts .wav and .mp3
### ActivateCellFailSound
#### ex: ActivateCellFailSound()
Plays a sound effect if the cell execution fails.
### ClearDir
#### ex: ClearDir('./images')
Removes all files from a directory.
params:
- path - The source directory of the images to turn into a gif. Must include preceding ./, should not include ending /
- safe_del - Prompts user input for confirmation if set to True.
Default Value: True
### MakeGif
#### ex: MakeGif('./data', './', 'test', 100, 'jpg')
Turns a directory of images into a gif.
params:
- source_dir - The source directory of the images to turn into a gif. Must include preceding ./
- out_dir - The directory to save the gif to. Must include preceding ./
- gif_name - The name of the gif. Do not include filetype.
- duration - Number of frames in the gif...I think.
- file_type - File extension for the images. Do not include preceding .
### CorrMatrixAnalysis
Displays in depth analysis of the correlation between features. Currently only addresses correlation of dependent feature to independent features, but will be updated soon.
params:
- df - The dataframe to analyze.
- dep_feature - The dependent feature.
#### example call:
df = pd.read_csv('Iris.csv')
CorrMatrixAnalysis(df, 'species')
Example output:
```
Features With High Correlation to diagnosis:
-0.79 - concave points_worst
-0.78 - perimeter_worst
-0.78 - concave points_mean
-0.78 - radius_worst
-0.74 - perimeter_mean
-0.73 - area_worst
-0.73 - radius_mean
-0.71 - area_mean
Features With Moderate Correlation to diagnosis:
-0.70 - concavity_mean
-0.66 - concavity_worst
-0.60 - compactness_mean
-0.59 - compactness_worst
-0.57 - radius_se
-0.56 - perimeter_se
-0.55 - area_se
Features With No Correlation to diagnosis:
-0.29 - compactness_se
-0.25 - concavity_se
-0.08 - fractal_dimension_se
0.07 - smoothness_se
-0.04 - id
0.01 - fractal_dimension_mean
0.01 - texture_se
0.01 - symmetry_se
```
Many thanks to my muse for the constant inspiration, great ideas, and support <3
%prep
%autosetup -n bae0n-utils-0.1.2
%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-bae0n-utils -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.2-1
- Package Spec generated
|
