iexfinance | Python SDK for IEX Cloud | Business library

by addisonlynch Python Version: 0.5.0 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | iexfinance Summary

iexfinance is a Python library typically used in Web Site, Business applications. iexfinance has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install iexfinance' or download it from GitHub, PyPI.

Python SDK for IEX Cloud

Support

Quality

Security

License

Reuse

Support

iexfinance has a low active ecosystem.

It has 645 star(s) with 135 fork(s). There are 36 watchers for this library.

It had no major release in the last 12 months.

There are 27 open issues and 147 have been closed. On average issues are closed in 167 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of iexfinance is 0.5.0

Quality

iexfinance has 0 bugs and 0 code smells.

Security

iexfinance has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

iexfinance code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

iexfinance 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.

Reuse

iexfinance releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

iexfinance saves you 1094 person hours of effort in developing the same functionality from scratch.

It has 2477 lines of code, 442 functions and 59 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Returns a pandas dataframe of financials
Validate response
Execute an iexf query
Fetch endpoint
Execute iex query
Format output
Prepare query string
Raise an exception
Convert output to pandas dataframe
Fetch data
Validate parameters
Validate start and end dates
Fetch a list of daily dates
Find the version string
Get historical prices
Parse requirements file

Get all kandi verified functions for this library.

iexfinance Key Features

No Key Features are available at this moment for iexfinance.

iexfinance Examples and Code Snippets

No Code Snippets are available at this moment for iexfinance.

Community Discussions

Trending Discussions on iexfinance

Cannot install some of requirements.txt python dependencies

How can i set up credentials as an environmental variable in windows?

After reshaping, ValueError: Found array with dim 4. Estimator expected <= 2

QUESTION

Cannot install some of requirements.txt python dependencies

Asked 2020-Dec-26 at 22:05

I cannot figure out why when installing my python dependencies from requirements.txt pip don't complain, but when I do it from docker container, I got the following error message:

The requirements.txt content:

...

ANSWER

Answered 2020-Dec-26 at 22:05

Alpine Linux uses musl C, but most python wheel files are compiled for glib C. Therefore, packages that have extensions written in C/C++ need to be compiled. If you do not have a compiler installed, you will get an error.

Instead of installing a compiler and dependencies that packages might require at compile time, I suggest using a python Docker image that is not based on Alpine. For example, you can use python:3.8-slim or python:3.8, and python packages that ship Linux wheels will not have to be compiled. All of the packages listed in OP's requirements.txt can be installed from pre-compiled wheels if using python:3.8-slim.

So you can use these commands

Source https://stackoverflow.com/questions/65460769

QUESTION

How can i set up credentials as an environmental variable in windows?

Asked 2020-Apr-29 at 18:15

I'm currently working on an academic project in my university and im trying to access IEX Cloud API (iexfinance) for financial data extraction using python but i keep running into an authentication error. When i checked the documentation of the package it recommends to set Secret Authentication Key as an environmental variable using 'IEX_TOKEN' to authenticate my request which i dont know how to do.

Also, i should note that i'm very new to the world of programming so thank you in advance for any assistance.

Here's a snippet of the script i use:

...

ANSWER

Answered 2020-Apr-29 at 18:15

Assuming you know the secret authentication key. Try:

Source https://stackoverflow.com/questions/61508471

QUESTION

After reshaping, ValueError: Found array with dim 4. Estimator expected <= 2

Asked 2020-Mar-19 at 20:58

I have this error

ValueError: Found array with dim 4. Estimator expected <= 2.

I have reshaped my array but its still showing this. I have attached my code below.

...

ANSWER

Answered 2020-Mar-19 at 15:32

It's because of these lines that keep adding dimensions:

Source https://stackoverflow.com/questions/60760132

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

Vulnerabilities

No vulnerabilities reported

Install iexfinance

You can install using 'pip install iexfinance' or download it from GitHub, PyPI.
You can use iexfinance like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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 .

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