tokei-pie
Render tokei results to charts.
Installation
pip install tokei-pie
Usage
$ tokei -o json | tokei-pie
(This is how django looks like!)
jut - JUpyter notebook Terminal viewer. The command line tool view the IPython/Jupyter notebook in the terminal. Install pip install jut Usage $jut --
ColorShell ─ 1.5 Planned for v2: setup.sh for setup alias This script converts HEX and RGB code to x1b x1b is code for colorize outputs, works on ou
Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords hi
whiteboxgui An interactive GUI for WhiteboxTools in a Jupyter-based environment GitHub repo: https://github.com/giswqs/whiteboxgui Documentation: http
plotly.py Latest Release User forum PyPI Downloads License Data Science Workspaces Our recommended IDE for Plotly’s Python graphing library is Dash En
Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords hi
nx_altair Draw NetworkX graphs with Altair nx_altair offers a similar draw API to NetworkX but returns Altair Charts instead. If you'd like to contrib
pdvega: Vega-Lite plotting for Pandas Dataframes pdvega is a library that allows you to quickly create interactive Vega-Lite plots from Pandas datafra
plotly.py Latest Release User forum PyPI Downloads License Data Science Workspaces Our recommended IDE for Plotly’s Python graphing library is Dash En
Currently when trying to run on any directory on Windows gives the following error.
Traceback (most recent call last):
File "C:\Users\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "C:\Users\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 86, in _run_code
exec(code, run_globals)
File "C:\Users\AppData\Local\Programs\Python\Python310\Scripts\tokei-pie.exe\__main__.py", line 7, in <module>
File "C:\Users\AppData\Local\Programs\Python\Python310\lib\site-packages\tokei_pie\main.py", line 227, in main
sectors = read_root(data)
File "C:\Users\AppData\Local\Programs\Python\Python310\lib\site-packages\tokei_pie\main.py", line 197, in read_root
sectors.extend(read_reports(reports, key))
File "C:\Users\erin.power\AppData\Local\Programs\Python\Python310\lib\site-packages\tokei_pie\main.py", line 176, in read_reports
sectors = convert2sectors(tree, dict_reports, parent_id)
File "C:\Users\AppData\Local\Programs\Python\Python310\lib\site-packages\tokei_pie\main.py", line 168, in convert2sectors
dir2sector(".", dirs, reports, sectors, language)
File "C:\Users\AppData\Local\Programs\Python\Python310\lib\site-packages\tokei_pie\main.py", line 112, in dir2sector
subdirs = dirs[dirname]
KeyError: '.'
Reproduce:
$ tokei -o json /path/to/my_code | tokei-pie
Traceback (most recent call last):
File "/Users/fming/wkspace/github/tokei-pie-plate/venv/bin/tokei-pie", line 8, in <module>
sys.exit(main())
File "/Users/fming/wkspace/github/tokei-pie-plate/venv/lib/python3.10/site-packages/tokei_pie/main.py", line 227, in main
sectors = read_root(data)
File "/Users/fming/wkspace/github/tokei-pie-plate/venv/lib/python3.10/site-packages/tokei_pie/main.py", line 197, in read_root
sectors.extend(read_reports(reports, key))
File "/Users/fming/wkspace/github/tokei-pie-plate/venv/lib/python3.10/site-packages/tokei_pie/main.py", line 176, in read_reports
sectors = convert2sectors(tree, dict_reports, parent_id)
File "/Users/fming/wkspace/github/tokei-pie-plate/venv/lib/python3.10/site-packages/tokei_pie/main.py", line 168, in convert2sectors
dir2sector(".", dirs, reports, sectors, language)
File "/Users/fming/wkspace/github/tokei-pie-plate/venv/lib/python3.10/site-packages/tokei_pie/main.py", line 140, in dir2sector
_blanks, _code, _comments = dir2sector(
File "/Users/fming/wkspace/github/tokei-pie-plate/venv/lib/python3.10/site-packages/tokei_pie/main.py", line 140, in dir2sector
_blanks, _code, _comments = dir2sector(
File "/Users/fming/wkspace/github/tokei-pie-plate/venv/lib/python3.10/site-packages/tokei_pie/main.py", line 140, in dir2sector
_blanks, _code, _comments = dir2sector(
[Previous line repeated 1 more time]
File "/Users/fming/wkspace/github/tokei-pie-plate/venv/lib/python3.10/site-packages/tokei_pie/main.py", line 118, in dir2sector
stats = reports[item]
KeyError: './lib/python3.10/site-packages/jinja2/compiler.py'
There seems to be something wrong with the relative path calculation.
When I pass folders as arguments to token I get a key error in tokei-pie
# in tokei repo
token src -o json | tokei-pie
Traceback (most recent call last):
File "/opt/homebrew/bin/tokei-pie", line 8, in <module>
sys.exit(main())
File "/opt/homebrew/lib/python3.9/site-packages/tokei_pie/main.py", line 213, in main
sectors = read_root(data)
File "/opt/homebrew/lib/python3.9/site-packages/tokei_pie/main.py", line 194, in read_root
sectors.extend(read_reports(reports, key))
File "/opt/homebrew/lib/python3.9/site-packages/tokei_pie/main.py", line 173, in read_reports
sectors = convert2sectors(tree, dict_reports, parent_id)
File "/opt/homebrew/lib/python3.9/site-packages/tokei_pie/main.py", line 165, in convert2sectors
dir2sector(".", dirs, reports, sectors, language)
File "/opt/homebrew/lib/python3.9/site-packages/tokei_pie/main.py", line 115, in dir2sector
stats = reports[item]
KeyError: './input.rs'
.
by @laixintao in https://github.com/laixintao/tokei-pie/pull/4Full Changelog: https://github.com/laixintao/tokei-pie/compare/v1.1.2...v1.2.0
Source code(tar.gz)Visual Python is a GUI-based Python code generator, developed on the Jupyter Notebook environment as an extension.
CNN Explainer An interactive visualization system designed to help non-experts learn about Convolutional Neural Networks (CNNs) For more information,
A central task in drug discovery is searching, screening, and organizing large chemical databases. Here, we implement clustering on molecular similarity. We support multiple methods to provide a inte
Pydemic A simple agent-based model of a pandemic. This is used to teach basic principles of object-oriented programming to master students. It is not
WhatsApp-Chat-Analyzer You can view the working project here. WhatsApp chat Analyzer is a WebApp where anyone either tech or non-tech person can analy
A collection of Deep Learning images and visualizations. The project has been developed by the AI Summer team and currently contains almost 100 images.
binja-import-header (v1.0.0) Author: matteyeux Import header file to Binary Ninja types view Description: Binary Ninja plugin to import types from C h
Beyond the Basics: Data Visualization in Python The human brain excels at finding patterns in visual representations, which is why data visualizations
Update ! ANONFILE MIGHT NOT WORK ! About A Python Binder that merge 2 files with any extension by creating a new python file and compiling it to exe w
CreateTempWindow2.8 Blender addon that creates a temporary window of any type from the 3D View. Features Can the following window types: 3D View Graph
colorlover Color scales for humans IPython notebook: https://plot.ly/ipython-notebooks/color-scales/ import colorlover as cl from IPython.display impo
DataVisualization - The evolution of my arduino and python journey. New level of competence achieved
DALLE tools DALLE-tools is a github repository with useful tools to categorize, annotate or check the sanity of your datasets. Installation Just clone
Arras.io Highest Scores Over Time Bar Chart Race This repo contains a python script (make_racing_bar_chart.py) that can generate a csv file which can
Robinhood 1099 Parser This project converts Robinhood Securities 1099 tax document from PDF to CSV file. This tool will be helpful for those who need
Simple Inkscape Scripting Description In the Inkscape vector-drawing program, how would you go about drawing 100 diamonds, each with a random color an
YOPO is an interactive dashboard which generates various standard plots.you can create various graphs and charts with a click of a button. This tool uses Dash and Flask in backend.
Demo run: The below video will highlight the runtime of this setup and some sample real-time conversations using the power of RASA + TigerGraph, Steps
The Great DataTas plot-a-thon Datatas is organising a Data Visualisation competition: The Great DataTas plot-a-thon We will be using Tidy Tuesday data
partial_dependence A python library for plotting partial dependence patterns of machine learning classifiers. The technique is a black box approach to