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gogs | Gogs is a painless self-hosted Git service | Continuous Deployment library

 by   gogs Go Version: v0.12.10 License: MIT

 by   gogs Go Version: v0.12.10 License: MIT

kandi X-RAY | gogs Summary

gogs is a Go library typically used in Devops, Continuous Deployment, Docker applications. gogs has no bugs, it has a Permissive License and it has medium support. However gogs has 1 vulnerabilities. You can download it from GitHub.
Gogs is a painless self-hosted Git service
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • gogs has a medium active ecosystem.
  • It has 41581 star(s) with 4685 fork(s). There are 1041 watchers for this library.
  • There were 10 major release(s) in the last 12 months.
  • There are 809 open issues and 4150 have been closed. On average issues are closed in 281 days. There are 27 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of gogs is v0.12.10
gogs Support
Best in #Continuous Deployment
Average in #Continuous Deployment
gogs Support
Best in #Continuous Deployment
Average in #Continuous Deployment

quality kandi Quality

  • gogs has 0 bugs and 0 code smells.
gogs Quality
Best in #Continuous Deployment
Average in #Continuous Deployment
gogs Quality
Best in #Continuous Deployment
Average in #Continuous Deployment

securitySecurity

  • gogs has 1 vulnerability issues reported (1 critical, 0 high, 0 medium, 0 low).
  • gogs code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
gogs Security
Best in #Continuous Deployment
Average in #Continuous Deployment
gogs Security
Best in #Continuous Deployment
Average in #Continuous Deployment

license License

  • gogs is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
gogs License
Best in #Continuous Deployment
Average in #Continuous Deployment
gogs License
Best in #Continuous Deployment
Average in #Continuous Deployment

buildReuse

  • gogs releases are available to install and integrate.
  • Installation instructions are available. Examples and code snippets are not available.
gogs Reuse
Best in #Continuous Deployment
Average in #Continuous Deployment
gogs Reuse
Best in #Continuous Deployment
Average in #Continuous Deployment
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gogs Key Features

User dashboard, user profile and activity timeline.

Access repositories via SSH, HTTP and HTTPS protocols.

User, organization and repository management.

Repository and organization webhooks, including Slack, Discord and Dingtalk.

Repository Git hooks, deploy keys and Git LFS.

Repository issues, pull requests, wiki, protected branches and collaboration.

Migrate and mirror repositories with wiki from other code hosts.

Web editor for quick editing repository files and wiki.

Jupyter Notebook and PDF rendering.

Authentication via SMTP, LDAP, reverse proxy, GitHub.com and GitHub Enterprise with 2FA.

Customize HTML templates, static files and many others.

Rich database backend, including PostgreSQL, MySQL, SQLite3 and TiDB.

Have localization over 30 languages.

gogs Examples and Code Snippets

Community Discussions

Trending Discussions on gogs
  • Cleaning data in Panda
  • nginx docker does not redirect gogs docker container
  • git clone fails due to lack of memory on server side
  • Do I need to Clone repository for adding a custom branch
  • How to fix broken CSV file where column values are not formatted properly?
  • Can't get known from /var/lib/docker with 'gogs docker image'. Where is the repository path of Docker on raspberry pi?
  • undefined: grpc.SupportPackageIsVersion7 grpc.ServiceRegistrar
  • Gogs + Drone: Gogs webhook return 400 with Cannot find repository
  • Django: How to set a new static path in production?
  • Postgres psql select result doesn't list all columns and selecting a column says it doesn't exist
Trending Discussions on gogs

QUESTION

Cleaning data in Panda

Asked 2022-Mar-19 at 20:01

Background I load data into Panda from a csv/xlsx file created by a text-to-data app. While saving time, the auto-read is only so accurate. Below I have simplified a load to illustrate a specific problem I struggle to sort:

import pandas as pd
from tabulate import tabulate

df_is = {"Var":["Sales","Gogs","Op prof","Depreciation","Net fin","PBT","Tax","PAT"],
"2021":[100,-50,50,-10,-5,35,"",""],
"2022":[125,-55,70,-15,-10,45,-10,25],
"":["","","","","","",-15,30]}

df_want = {"Var":["Sales","Gogs","Op prof","Depreciation","Net fin","PBT","Tax","PAT"],
"2021":[100,-50,50,-10,-5,35,-10,25],
"2022":[125,-55,70,-15,-10,45,-15,30]}

print(tabulate(df_is))
print()
print(tabulate(df_want))

Problem As can be seen by running the code, the data in the first table has not been read properly by the app, resulting in the last two datapoints of the second and third column appearing in third and last column, respectively.

Second table shows how I want it to appear. The real problem is more complex and general, so local solutions of over-writing values is not feasible. A solution, like in Excel, where I would delete the empty cells in the second column and simultaneously move all other data in the rows to the left/right (depending on task), would be good.

Tried Being a novice, I have tried to search for solutions, but none of my search criteria seem to lead to a relevant solution.

I have also used df.iloc() to create a variable of the four data-cells that are out of line, then tried to append them to column 1 and 2. Than only added copies of the last two rows.

Greatful for advise!

versions conda 4.11.0 Python 3.9.7

Pandas 1.3.4

ANSWER

Answered 2022-Mar-19 at 20:01

Please try this:

import pandas as pd
import numpy as np
f_is = {"Var":["Sales","Gogs","Op prof","Depreciation","Net fin","PBT","Tax","PAT"],
"2021":[100,-50,50,-10,-5,35,"",""],
"2022":[125,-55,70,-15,-10,45,-10,25],
"":["","","","","","",-15,30]}
input_df = pd.DataFrame(f_is)

output_df = input_df.T.replace('', np.nan).apply(lambda x: pd.Series(x.dropna().to_numpy())).T
output_df.columns = ['Var','2021','2022']
output_df

Source https://stackoverflow.com/questions/71526796

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install gogs

Make sure you install the prerequisites first.
Install from binary
Install from source
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Try with Vagrant

Support

Please see Semantic UI for specific versions of supported browsers.The smallest resolution officially supported is 1024*768, however the UI may still look right in smaller resolutions, but no promises or fixes.

Find more information at:

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  • https://github.com/gogs/gogs.git

  • gh repo clone gogs/gogs

  • git@github.com:gogs/gogs.git

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