finplot | Performant and effortless finance plotting for Python | Data Visualization library

by highfestiva Python Version: 1.9.5 License: MIT

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | finplot Summary

finplot is a Python library typically used in Analytics, Data Visualization applications. finplot 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 finplot' or download it from GitHub, PyPI.

Performant and effortless finance plotting for Python

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Quality

Security

License

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Support

finplot has a low active ecosystem.

It has 672 star(s) with 149 fork(s). There are 36 watchers for this library.

There were 1 major release(s) in the last 12 months.

There are 11 open issues and 272 have been closed. On average issues are closed in 15 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of finplot is 1.9.5

Quality

finplot has 0 bugs and 0 code smells.

Security

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

finplot code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

finplot 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

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

Deployable package is available in PyPI.

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

Installation instructions are not available. Examples and code snippets are available.

finplot saves you 1228 person hours of effort in developing the same functionality from scratch.

It has 3479 lines of code, 266 functions and 21 files.

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

Top functions reviewed by kandi - BETA

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

toggle dark mode
change price history
Draws the text of a line segment
Update y - zoom .
Creates axes overlay
Convert a pandas Series to a pandas index .
Update gfx .
Create a datasource from axes .
Calculate parabolic sars .
Create a control panel

Get all kandi verified functions for this library.

finplot Key Features

No Key Features are available at this moment for finplot.

finplot Examples and Code Snippets

No Code Snippets are available at this moment for finplot.

Community Discussions

Trending Discussions on finplot

finplot candlestick chart does not render on launch when rendered as a widget

Python datframe plotting

Fin plot installation and import issues

finplot as a widget in layout

QUESTION

finplot candlestick chart does not render on launch when rendered as a widget

Asked 2022-Jan-09 at 03:50

I have placed finplot candlestick chart as a widget. When launched, it comes up black on first render of app. If I zoom out, it starts to show up in the maximum zoomed state. How can I launch it in a state so that all candles that are inside the chart is displayed. Following is my entire code.

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ANSWER

Answered 2022-Jan-09 at 03:50

Thank you for posting full details of your problem.

Everything is almost there. You just need to add two things:

In your App.__init add one of the following lines just before calling self.show():

Source https://stackoverflow.com/questions/70636497

QUESTION

Python datframe plotting

Asked 2021-Jul-18 at 18:14

I would like to plot a dataframe in pandas containing candlesticks, both increasing and decreasing candles must all be of the same color, except for some of my choice.

I'm really struggling to find a solution.

I tried mplfinance, plotly, finplot, and I can change the colors of all the candles, but not only change those of some.

If it wasn t possible to modify the colors individually, I would at least like vertical lines to be drawn along the graph in correspondence with the candlesticks.

I can identify the candles affected by both the dataframe index and their time.

Help would be useful, thanks in advance.

some lines of code:

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ANSWER

Answered 2021-Jul-18 at 16:51

I am not very familiar with plotly and finplot, however (full disclosure) I am the maintainer of mplfinance. Coloring of specific candles in mplfinance is not yet supported, however we have had requests for this and plan to support it in the future.

In the meantime, this can be done using mplfinance with some extra work. The basic idea is this:

Split your dataframe in two, for the two different colors that you want, each dataframe including only the candles of the color that you want, and NaN values for all other candles.
Create two custom "mplfinance styles", each with the candles only one color, but each style is a different color from the other.
Plot the two dataframes on the same Axes, each with its specified color style.

Here is some example code. The data for this example can be found here.

Source https://stackoverflow.com/questions/68430035

QUESTION

Fin plot installation and import issues

Asked 2021-Apr-23 at 17:48

I have noted multiple questions regarding the outline usage and installation but as I lack sufficient rep.points, I am not allowed to ask questions on them, so my apologies if this is a duplicate question.

As a capstone project I am attempting to build a basic program that extracts financial data from yahoo finance and displays it to the user in graphical form (candlestick_OCHL).

I've initially started using mplfinance and although I've got relatively satisfactory results, finplot appears to offer a few more customisation options which I think could better represent the data in graphical form, namely aspects such as sub plotting(2:2) which I cant seem to do with mplfinanace.

Ive attempted to install finplot via cmd (below indicates windows ver. and python ver.), the finplt is 1.6

However when using jupyterlab the following issue continuously appears:

could anyone possibly advise a course of action, or if not is there a different module that can offer more customizations (sub plotting,axes-title,wick markers, etc)

...

ANSWER

Answered 2021-Mar-25 at 13:19

Mplfinance provides two procedures for creating subplots. One, called "Panels" requires the subplots to be stacked vertically, but is very simple to implement. The other, called "External Axes" allows any configuration of subplots you choose.

Click here to read more about subplots in mplfinance.

P.S. Be sure to read the complete tutorials, for the two procedures for subplots, here:

Additional Information about positioning subplots can be found here.

There are also a number of other customizations documented here.

Source https://stackoverflow.com/questions/66799513

QUESTION

finplot as a widget in layout

Asked 2020-Nov-04 at 10:57

I am trying to add finplot, https://pypi.org/project/finplot/, as a widget to one of the layouts in my UI. I created a widget for finplot and added it to the widgets in the layout but I get the following error:

...

ANSWER

Answered 2020-Sep-26 at 05:53

The create_plot_widget() function creates a PlotItem that cannot be added to a layout, the solution is to use some QWidget that can display the content of the PlotItem as the PlotWidget:

Source https://stackoverflow.com/questions/64074217

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

Vulnerabilities

No vulnerabilities reported

Install finplot

You can install using 'pip install finplot' or download it from GitHub, PyPI.
You can use finplot 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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