kandi background

streamlit | Streamlit — The fastest way to build data apps in Python | Machine Learning library

Download this library from

kandi X-RAY | streamlit Summary

streamlit is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pandas, Docker applications. streamlit has no vulnerabilities, it has a Permissive License and it has medium support. However streamlit has 38 bugs and it build file is not available. You can download it from GitHub.
Streamlit lets you turn data scripts into sharable web apps in minutes, not weeks. It’s all Python, open-source, and free! And once you’ve created an app you can use our cloud platform to deploy, manage, and share your app!.

kandi-support Support

  • streamlit has a medium active ecosystem.
  • It has 18692 star(s) with 1687 fork(s). There are 262 watchers for this library.
  • There were 9 major release(s) in the last 6 months.
  • There are 553 open issues and 1796 have been closed. On average issues are closed in 76 days. There are 4 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of streamlit is 1.8.1

quality kandi Quality

  • streamlit has 38 bugs (5 blocker, 0 critical, 33 major, 0 minor) and 402 code smells.

securitySecurity

  • streamlit has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • streamlit code analysis shows 0 unresolved vulnerabilities.
  • There are 98 security hotspots that need review.

license License

  • streamlit is licensed under the Apache-2.0 License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.

buildReuse

  • streamlit releases are available to install and integrate.
  • streamlit has no build file. You will be need to create the build yourself to build the component from source.
  • Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA

kandi has reviewed streamlit and discovered the below as its top functions. This is intended to give you an instant insight into streamlit implemented functionality, and help decide if they suit your requirements.

  • Return a slider .
  • Convert obj to bytes .
  • Cache decorator .
  • Write elements to the stream .
  • Get a number input .
  • Create a new instance of this component .
  • Displays a download button .
  • Create a file uploader .
  • Handles a script runner event .
  • Run a script .

streamlit Key Features

Streamlit — The fastest way to build data apps in Python

streamlit Examples and Code Snippets

  • Installation
  • A little example
  • The Streamlit GitHub badge
  • Python: Parsing List of lists
  • How to save DataFrame as csv in streamlit?
  • Why does the simplest streamlit example errors out?
  • Images not loading when deploying streamlit app on GCP
  • Cannot display SHAP text visualization in Streamlit
  • Change labels from data received from database in Altair bar graph
  • Streamlit how to display buttons in a single line
  • Due to page reload, the video uploaded sing st.file_uploader() in streamlit is lost. How to retain it?
  • Loop Directory (folder and Subfolder in Python app)
  • Play muted loop video on Streamlit

Installation

pip install streamlit
streamlit hello

Community Discussions

Trending Discussions on streamlit
  • Python: Parsing List of lists
  • How to save DataFrame as csv in streamlit?
  • Why does the simplest streamlit example errors out?
  • Images not loading when deploying streamlit app on GCP
  • Cannot display SHAP text visualization in Streamlit
  • How to populate a streamlit selectbox with vlaues from a SQL query
  • Change labels from data received from database in Altair bar graph
  • Streamlit how to display buttons in a single line
  • Due to page reload, the video uploaded sing st.file_uploader() in streamlit is lost. How to retain it?
  • Loop Directory (folder and Subfolder in Python app)
Trending Discussions on streamlit

QUESTION

Python: Parsing List of lists

Asked 2022-Mar-31 at 17:38

In Python I'm attempting to create a login page that draws stored data from a Google Sheet for use in Streamlit Authenticator. Streamlit Authenticator authenticates logins by accessing a list container with usernames, passwords, and screen names, as below:

username = ['johndoe', 'janedoe']
password = ['123', '456']
names = ['John Doe', 'Jane Doe']

The application I'm developing runs on the cloud, and I'm storing the user data in a Google Sheet, structured like so:

username, password, names
johndoe, 123, John Doe
janedoe, 456, Jane Doe

Using pysheets and the get_as_df operation, I'm seeking to pull the data to fill the containers for Streamlit Authenticator. However, when I pull a with pysheets the individual cells come back as separate lists, as in this example for the username column:

import pygsheets
import pandas as pd

gc = pygsheets.authorize(service_file=local_file) #for Google Sheets API authentication 

sh = gc.open('users') # Google Sheet name
wks = sh0[0] # Worksheet number
database_length = wks0.get_all_values(include_tailing_empty_rows=False, include_tailing_empty=False, returnas='matrix') # for finding the number of filled rows in sheet
end_row = str(len(database_length))
usernames_grab = wks0.get_as_df(has_header=False, index_column=0, start='A2', end=('A'+end_row0), numerize=False) # grabs cell data as dataframe
usernames_list = usernames_grab.values.tolist() # converts dataframe to list
print(usernames_list)

Which returns:

[['johndoe'], ['janedoe']]

I attempted then to setup the Streamlit Authenticator accordingly:

username = usernames_list
passwords = password_list
names - names_list

But when loading the script I receive the following error: AttributeError: 'list' object has no attribute 'encode' I'm guessing I can't pass a list of lists in this manner? Any suggestions on how to proceed?

ANSWER

Answered 2022-Mar-31 at 17:38

This is because your username is a list of lists, not a list of strings.

All you need to do is extract the string from the inner list.

>>> username = [lst[0] for lst in usernames_list]
['johndoe', 'janedoe']

If your usernames_grab dataframe has column names, you could also just do:

username = usernames_grab["username"].to_list()

Source https://stackoverflow.com/questions/71695772

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

Vulnerabilities

No vulnerabilities reported

Install streamlit

Streamlit can also be installed in a virtual environment on Windows, Mac, and Linux.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Build your Application

Share this kandi XRay Report