npv | Net Present Value Simulation for Python

by mikkokotila Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | npv Summary

npv is a Python library typically used in Financial Services, Banks, Payments, Simulation applications. npv has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

NPV provides a very high level simulation facility for getting the NPV (net presevent value) score for any business idea. By default, the simulation automatically generates:. Simulation is based on set of input variables and volatility computations that can be adjusted as needed for each project. Additionally, facility for performing a Monte Carlo simulation is provided, and a method for generating key financial metrics individually.

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Support

npv has a low active ecosystem.

It has 7 star(s) with 4 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 423 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of npv is current.

Quality

npv has 0 bugs and 0 code smells.

Security

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

npv code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

npv is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

npv 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.

It has 390 lines of code, 14 functions and 11 files.

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

Top functions reviewed by kandi - BETA

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

Simulate monthly income stats
Build a pandas dataframe
Calculates the amount of staff
Compute monthly cash flow
Builds a list of periods
Convert monthly data into a pandas DataFrame
Calculate change outcomes
Compute a monte carlo
Compute the annual income
Compute the annual income rate
Check installed dependencies

Get all kandi verified functions for this library.

npv Key Features

No Key Features are available at this moment for npv.

npv Examples and Code Snippets

No Code Snippets are available at this moment for npv.

Community Discussions

Trending Discussions on npv

Will ggcorplot() create a correlation matrix for lm() model having two dependent variables?

Converting Excel function to TypeScript function

Scipy optimize to target

VBA Function returning #VALUE! when trying to refer to Optional Parameter

validation of sample fpml message by making a CURL call to the fpml.org api for fpml validation is failing with error content not allowed in prolog

The canonical way to structure a Class (and to avoid the "name 'self' is not defined") error

setting a level in the ROC function

NPV function in r

NPV Calculation on a PANDAS dataframe of values

ROC curves using pROC on R: Calculating lab value a threshold equates to

QUESTION

Will ggcorplot() create a correlation matrix for lm() model having two dependent variables?

Asked 2022-Apr-15 at 16:20

I've created a variance-covariance matrix using vcov(). My sense is that ggcorrplot will visualize the matrix, but I can't make it work. I suspect it's because I've got two dependent variables, because all is fine when I do the same with a fit containing only one dependent variable. Where am I going wrong? Here is some data:

...

ANSWER

Answered 2022-Apr-15 at 16:20

Edit 2: Try lm only with the significant variables from the full model. Also, with increasing observations, the covariance matrix does appear to get sparser. This may be because of the junk data you added or actually a phenomenon in your data, that there is no covariance structure...

Source https://stackoverflow.com/questions/71885362

QUESTION

Converting Excel function to TypeScript function

Asked 2022-Apr-14 at 21:17

I'm trying to convert the following Excel's function (factor =1/(1+disc_rate)^(A2-base_yr) to TypeScript function. TypeScript is new to me, can look at this code and let me know what I'm doing wrong? I'm getting 0 value when running the code using the TypeScript Playground environment. Also, not sure if the Math.pow statement is correct. I'm basically trying to replicate the Excel's factor formula in TypeScript. Thanks

...

ANSWER

Answered 2022-Apr-14 at 21:17

You mentioned you're not sure if the Math.pow statement is correct.

For your specific use case it should be:

Source https://stackoverflow.com/questions/71877245

QUESTION

Scipy optimize to target

Asked 2022-Apr-10 at 19:17

I am trying to optimize a function to get it as close to zero as possible.

The function is:

...

ANSWER

Answered 2022-Apr-10 at 19:17

I am trying to find the value of x where total is as close to 0 as possible.

Then you want to solve the equation goal_seek_func(x) = 0 instead of minimizing goal_seek_func(x). See here for an explanation of why these two things are not the same. That being said, you can easily solve the equation by minimizing some vector norm of your objective function:

Source https://stackoverflow.com/questions/71819354

QUESTION

VBA Function returning #VALUE! when trying to refer to Optional Parameter

Asked 2022-Mar-21 at 21:07

I am trying to calculate a NPV of several cashflows with continuous compounding. However when trying to refer to the optional parameter (which signals that the NPV will be continuous compounding), i get #VALUE! instead of a valid NPV

My VBA code is as follows:

...

ANSWER

Answered 2022-Mar-21 at 21:07

I believe you want to include both inside the loop and then use an IF to decide which to do:

Source https://stackoverflow.com/questions/71563976

QUESTION

validation of sample fpml message by making a CURL call to the fpml.org api for fpml validation is failing with error content not allowed in prolog

Asked 2022-Jan-28 at 15:39

CURL Call

...

ANSWER

Answered 2022-Jan-28 at 15:39

i resolved this now...After much research i confirmed via this link validator.w3.org/i18n-checker/check#validate-by-upload+ that my file had Byte Order Marks (invisible characters) at the beginning.

To remove BOM i opened the file in Notepad, changed the encoding from UTF-8 BOM to UTF-8 and then saved it.

Source https://stackoverflow.com/questions/70822711

QUESTION

The canonical way to structure a Class (and to avoid the "name 'self' is not defined") error

Asked 2022-Jan-26 at 23:39

I'm new to classes in Python and could use some assistance.

I have the following (admittedly poorly-written) class:

...

ANSWER

Answered 2022-Jan-26 at 23:39

I recommend a reading of the Python documentation about classes.

Q1. What is causing the NameError: name 'self' is not defined error in the class above?

A: self refers to an object of a class. You cannot reference an object before you create one.

Q2. Would someone kindly show me the correct (i.e. canonical) way to write this class?

A: You could add the class properties you defined to the __init__ method, as you did with some properties.

Source https://stackoverflow.com/questions/70871483

QUESTION

setting a level in the ROC function

Asked 2021-Dec-09 at 15:04

I am trying to obtain sens, spec, npv and ppv for the ability of two patient scoring systems and their ability to predict admission. To explain the data:

'Etriage' is electronic triage system (scores from 1-5), AETriage is a face-to-face triage system (socres 1-5). Admitted has 2 levels as factors 0 - not admitted, 1 - admitted.

eg:

...

ANSWER

Answered 2021-Dec-08 at 14:36

You cannot use a textual score (or factors), because in order to build a ROC curve we need to rank the data, which cannot be done automatically on simple text (is "High" higher than "Low"? A computer wouldn't know that).

However, R has a textual data type for that: ordered factors, which are supported (to some extent) by pROC:

Source https://stackoverflow.com/questions/70263961

QUESTION

NPV function in r

Asked 2021-Oct-01 at 17:50

I am trying to manually add the NPV formula but I am getting the error message Error: attempt to apply non-function

npv<- (2520/(1+0.10))+ (2520(1+0.10)^2)+ (2520(1+0.10)^3)

Please let me know why am I getting this error message and how can I fix this?

...

ANSWER

Answered 2021-Oct-01 at 17:50

Probably, we need the *

Source https://stackoverflow.com/questions/69410101

QUESTION

NPV Calculation on a PANDAS dataframe of values

Asked 2021-Sep-15 at 07:27

Am getting errors doing NPV calculation using numpy_financial.npv(rate, values) on a dataframe.

Am i able to use dataframes for NPV calculation? Not sure how to fix this. Manually looping through each row?

...

ANSWER

Answered 2021-Sep-15 at 07:27

values parameter in npv takes only 1 dimensional array, so you need to loop through it.

Source https://stackoverflow.com/questions/69187776

QUESTION

ROC curves using pROC on R: Calculating lab value a threshold equates to

Asked 2021-Sep-13 at 07:20

I am using pROC to provide the ROC analysis of blood tests. I have calculated the ROC curve, AUC and am using the ci.coords function to provide the spec, sens, PPV and NPV at a provided specificity (with 95% CI).

I would like to be able to say at what value of blod test this is, for instance at 1.2 the sens is x, spec is y, NPV is c, PPV is d. Ideally I ould have the data for a table like:

...

ANSWER

Answered 2021-Sep-10 at 11:24

library(tidyverse)
library(pROC)
#> Type 'citation("pROC")' for a citation.
#> 
#> Attaching package: 'pROC'
#> The following objects are masked from 'package:stats':
#> 
#>     cov, smooth, var
data(aSAH)

roc <- roc(aSAH$outcome, aSAH$s100b,
  levels = c("Good", "Poor")
)
#> Setting direction: controls < cases

tibble(threshold = seq(0, 1, by = 0.1)) %>%
  mutate(
    data = threshold %>% map(~ {
      res <- roc %>% ci.coords(x = .x, ret = c("sensitivity", "specificity", "ppv", "npv"))
      
      # 97.5%
      list(
        sens = res$sensitivity[[3]],
        spec = res$specificity[[3]],
        ppv = res$ppv[[3]],
        npv = res$npv[[3]]
      )
    })
  ) %>%
  unnest_wider(data)
#> # A tibble: 11 x 5
#>    threshold   sens  spec   ppv    npv
#>              
#>  1       0   1      0     0.363 NA    
#>  2       0.1 0.927  0.5   0.5    0.917
#>  3       0.2 0.780  0.903 0.784  0.867
#>  4       0.3 0.634  0.917 0.769  0.8  
#>  5       0.4 0.561  0.958 0.85   0.782
#>  6       0.5 0.439  1     1      0.755
#>  7       0.6 0.366  1     1      0.735
#>  8       0.7 0.317  1     1      0.72 
#>  9       0.8 0.195  1     1      0.686
#> 10       0.9 0.122  1     1      0.667
#> 11       1   0.0732 1     1      0.655

Source https://stackoverflow.com/questions/69131172

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Vulnerabilities

No vulnerabilities reported

Install npv

You can download it from GitHub.
You can use npv 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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