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)Some problems of SSLC ( High School ) before outputs and after outputs 1] A Python program and its output (output1) while running the program is given
pandas-csv-excel-analysis This is a place where I'm playing around with pandas to analyze data in a csv/excel file. 0-start A very simple cheat sheet
mplleaflet mplleaflet is a Python library that converts a matplotlib plot into a webpage containing a pannable, zoomable Leaflet map. It can also embe
Smarthome Dashboard with Grafana & InfluxDB This is a complete overhaul of my Raspberry Dashboard done with Flask. I switched from sqlite to InfluxDB
Ivy vision focuses predominantly on 3D vision, with functions for camera geometry, image projections, co-ordinate frame transformations, forward warping, inverse warping, optical flow, depth triangul
ark_invest daily weekday report of @arkinvest ETF activity + data collection This script was created to: Extract and save daily csv's from ARKInvest's
TensorDebugger (TDB) is a visual debugger for deep learning. It extends TensorFlow (Google's Deep Learning framework) with breakpoints + real-time visualization of the data flowing through the comput
Diff_sims Visualizations of some specific solutions of different differential equations. Heat Equation in 1 Dimension (A very beautiful and elegant ex
Powered By: An animation engine for explanatory math videos Hi there, I'm Zheer 👋 I'm a Software Engineer and student!! 🌱 I’m currently learning eve
CONTRIBUTIONS ONLY What does this mean? I do not have time to fix issues myself. The only way fixes or new features will be added is by people submitt
This is a community effort to draw the nimbus logo on beaconcha.in's graffitiwall. get started clone repo with git clone https://github.com/tennisbowl
PDPbox python partial dependence plot toolbox Motivation This repository is inspired by ICEbox. The goal is to visualize the impact of certain feature
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
BoxPlotGraphAutomation Automatization of BoxPlot graph usin Python / Excel. This file is an automation of BoxPlot-Graph using python graph library mat
Pebble is a stat's visualization tool, this will provide a skeleton to develop a monitoring tool.
HiPlot - High dimensional Interactive Plotting HiPlot is a lightweight interactive visualization tool to help AI researchers discover correlations and
ThousandEyes Grafana Dashboard Extract data from the ThousandEyes REST API and visualize it on your customized Grafana Dashboard. Deploy Grafana, Infl
Material for dataviz course at university of Bordeaux
GDSHelpers GDSHelpers in an open-source package for automatized pattern generation for nano-structuring. It allows exporting the pattern in the GDSII-
hh_ru_research Проект реализован в учебных целях анализа рынка труда, в особенности по hh.ru Input data В качестве входных данных используются сериали