qfrm | Python tools to quantitatively manage financial risk | Portfolio library

by pjgranahan Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | qfrm Summary

qfrm is a Python library typically used in Web Site, Portfolio applications. qfrm has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Quantitative Financial Risk Management (qfrm) is a set of analytical tools to measure, manage, and visualize identified risks of financial derivatives and portfolios.

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Quality

Security

License

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Support

qfrm has a low active ecosystem.

It has 41 star(s) with 14 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 2 have been closed. On average issues are closed in 0 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of qfrm is current.

Quality

qfrm has 0 bugs and 0 code smells.

Security

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

qfrm code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

qfrm does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

qfrm releases are not available. You will need to build from source code and install.

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

Installation instructions, examples and code snippets are available.

qfrm saves you 1073 person hours of effort in developing the same functionality from scratch.

It has 2430 lines of code, 232 functions and 26 files.

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

Top functions reviewed by kandi - BETA

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

Calculate the MCMC
Calculate the px specification
Check if x is a number
Calculate the pixel value of the plot
Calculates the px
Add a price specification
Save price spec
R Calculate the basis functions
Returns a dictionary containing the BS_spec
Calculate the FD grid
Calculate the px position
Calculate the pixel density
Calculates the px spectrum
Calculate the pixel number of pixels
Calculate px
Calculate the LLS
Calculate the position of the plot
Calculates the precision of the plot
Calculate the px specification
Calculate px
Calculate the px from t_s
Calculate px specification
Calculate the pixel number of pixels
Calculate the px
Calculate the px position of the product
Calculate pixel density

Get all kandi verified functions for this library.

qfrm Key Features

No Key Features are available at this moment for qfrm.

qfrm Examples and Code Snippets

No Code Snippets are available at this moment for qfrm.

Community Discussions

Trending Discussions on qfrm

Jupyter making 3D matplotlib graphs extremely small

QUESTION

Jupyter making 3D matplotlib graphs extremely small

Asked 2018-Nov-12 at 09:54

Having read many of the posts on this site about resizing graphs and setting limits on graph sizes in Jupyter, I am virtually convinced there is something different when it comes to 3D plotting.

This is my 3D scatterplot that Jupyter keeps giving back to me, despite having tried many figsize and dpi= settings (either in plt.figure() or within plt.rcParams()),

This is my data and my current code,

...

ANSWER

Answered 2018-Nov-09 at 00:19

Try replacing

Source https://stackoverflow.com/questions/53217771

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

Vulnerabilities

No vulnerabilities reported

Install qfrm

To install from PyPI using pip:.

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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