python-gr | Python wrapper for the GR framework | Wrapper library

by sciapp Python Version: v1.20.0 License: Non-SPDX

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

kandi X-RAY | python-gr Summary

python-gr is a Python library typically used in Utilities, Wrapper, Framework applications. python-gr has no bugs, it has no vulnerabilities, it has build file available and it has low support. However python-gr has a Non-SPDX License. You can download it from GitHub.

[pypi version] gr is a universal framework for cross-platform visualization applications. it offers developers a compact, portable and consistent graphics library for their programs. applications range from publication quality 2d graphs to the representation of complex 3d scenes. gr is essentially based on an implementation of a graphical kernel system (gks) and opengl. as a self-contained system it can quickly and easily be integrated into existing applications (i.e. using the ctypes mechanism in python or ccall in julia). the gr framework can be used in imperative programming systems or integrated into modern object-oriented systems, in particular those based on gui toolkits. gr is characterized by its high interoperability and can be used with modern web technologies. the gr framework is especially suitable for real-time or signal processing environments. gr was

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python-gr has a low active ecosystem.

It has 24 star(s) with 7 fork(s). There are 9 watchers for this library.

It had no major release in the last 12 months.

There are 6 open issues and 17 have been closed. On average issues are closed in 43 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of python-gr is v1.20.0

Quality

python-gr has 0 bugs and 0 code smells.

Security

python-gr has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

python-gr code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

python-gr has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

python-gr releases are available to install and integrate.

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

Top functions reviewed by kandi - BETA

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

Plot polar histogram .
Plot polar histogram .
Plot plot data .
Plot bar chart
Find the VCS version .
Draw a path .
Parse arguments .
Push an element onto the stack .
Set window sizes .
Draw axes .

Get all kandi verified functions for this library.

python-gr Key Features

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python-gr Examples and Code Snippets

No Code Snippets are available at this moment for python-gr.

Community Discussions

Trending Discussions on python-gr

How to calculate cumulative sum (reversed) of a Python DataFrame within given groups?

When does if become a statement?

Matplotlib: is it possible to do a stepwise stacked plot?

How to combine different DataFrames into one grouped bar plot

How to create "100% stacked" bar charts in plotly?

Pandas select rows after first non NaN value for each groupby group

in Ubuntu why don't I see a specific version in usr/bin of python when I download it?

Plot multiple small line graphs

How to define figsize when plotting tree maps with squarify

How to specify my own criteria in a HeatMap in Python

QUESTION

How to calculate cumulative sum (reversed) of a Python DataFrame within given groups?

Asked 2022-Mar-16 at 16:45

I have a data frame (df_f) with many (n=19) columns that, if conceptually simplified looks something like this:

Basin (n=17 columns) Chi 13.0 ... 4 13.0 ... 8 13.0 ... 2 21.0 ... 4 21.0 ... 6 38.0 ... 1 38.0 ... 7 38.0 ... 2 38.0 ... 4

The real data frame has around 70,000 rows and around 60 unique 'Basin' ID values (and of course other columns with numerical data, but we don't need them for this, I still want to keep them though for plotting).

What I would like is the following:

I want calculate the cumulative sum of the 'Chi' value, but reversed (so, going up), AND I want it to be reset for each Basin 'group'. So the values should be:

Basin (n=17 columns) Chi_cum 13.0 ... 14 13.0 ... 10 13.0 ... 2 21.0 ... 10 21.0 ... 6 38.0 ... 14 38.0 ... 13 38.0 ... 6 38.0 ... 4

As you can see, in Chi_cum, we progressively add the Chi values going up, but we reset the sum for each 'Basin'.

I know how to do a reverse cumulative sum (df_f['Chi_cum'] = df_f.loc[::-1, 'Chi'].cumsum()[::-1]), but that is for the entire dataframe. Conversely, I know how to use '.groupby', but I can't seem to combine both methods of grouping and summing.

I tried doing something like:

...

ANSWER

Answered 2022-Mar-16 at 16:45

Apparently you can't actually add ascending=True or reverse=True to cumsum (!?!?), so just reverse before and after cumsum for each group:

Source https://stackoverflow.com/questions/71490421

QUESTION

When does if become a statement?

Asked 2021-Dec-03 at 17:24

As simple as it may sound, I'm trying to figure out what is a compound if statement. I know if is a keyword, and reading the official documentation the syntax is:

...

ANSWER

Answered 2021-Dec-03 at 17:24

if is a keyword. if alone is never a statement - nor an expression, for that matter. As stated in your question, an "if statement" is a statement of the following form:

Source https://stackoverflow.com/questions/70216770

QUESTION

Matplotlib: is it possible to do a stepwise stacked plot?

Asked 2021-Nov-09 at 22:01

I'd like to make a stacked area chart but it would increase stepwise, like the stairs plot.

It is a cumulative chart, so a stepwise increase would make more sense.

How can it be done?

...

ANSWER

Answered 2021-Nov-09 at 22:01

plt.stackplot accepts extra kwargs which are sent to plt.fill_between. One of those is step='post', creating a horizontal line starting with the given value. (In contrast, step='pre' has the horizontal lines at the height of the ending positions.)

Source https://stackoverflow.com/questions/69904252

QUESTION

How to combine different DataFrames into one grouped bar plot

Asked 2021-Oct-21 at 19:51

I'm trying to copy the answer from this question, I can't see what I'm doing that's different.

My output, similar to that question or here is a grouped bar plot, where this data frame:

...

ANSWER

Answered 2021-Oct-21 at 12:21

It's difficult to give a great answer because I know this is just demo data so dealing with your real data is going to be different. I think the way you are creating the dataframe is giving you the problem since you are plotting directly with pandas.

Currently, your dataframe looks like:

...but you need your X axis to be the index, and a separate column for Cat1 and Cat2 with their respective values. Something closer to:

The way you accomplish this will depend on your actual dataset, but using the example provided (I slightly changed your input values for better visualization), this was my approach:

Source https://stackoverflow.com/questions/69661200

QUESTION

How to create "100% stacked" bar charts in plotly?

Asked 2021-May-06 at 14:30

I am trying to generate a stacked bar chart with plotly, specifically one that is "100%-stacked," like this:-

https://www.python-graph-gallery.com/13-percent-stacked-barplot

I am using the following code:-

...

ANSWER

Answered 2021-May-06 at 14:30

Removing the ' characters around the y values and adding 'relative' for barmode produced the correct outcome...

Source https://stackoverflow.com/questions/67418810

QUESTION

Pandas select rows after first non NaN value for each groupby group

Asked 2021-Apr-09 at 00:16

I want to select rows after the first non NaN values for each group ["etf_ticker", "ticker"] in my dataset:

...

ANSWER

Answered 2021-Apr-09 at 00:16

Try with groupby + transform and idxmax

Source https://stackoverflow.com/questions/67013374

QUESTION

in Ubuntu why don't I see a specific version in usr/bin of python when I download it?

Asked 2021-Feb-07 at 19:22

Hi I'm trying to get a specific version of python working in a virtualenv

I tried these solutions:

https://askubuntu.com/questions/682869/how-do-i-install-a-different-python-version-using-apt-get

I didn't do the compiling answers because it looked like doing that was going to get rid of my "old" newer version of python.

So I'm mostly concerned with the first answer. I did this:

...

ANSWER

Answered 2021-Feb-06 at 14:22

Found out that 3.3 doesn't work with my ubuntu 20.04. I thought because my python2.7 worked I could just move up to 3.3 no problem. I guess the 2.7 only is there because it was leftover from an older ubuntu.

Anyways, python3.5 worked for me!

Source https://stackoverflow.com/questions/66077079

QUESTION

Plot multiple small line graphs

Asked 2021-Feb-05 at 01:35

I have some data where I have deaths each year across each state. I am attempting to make several small line graphs (sort of like what's demonstrated here), however, I cannot get my data to go the way it seems to need to go to make this.

Without attempting this method, I attempted df.pivot(index="fyear", columns="state_abbr", values="total_deaths").plot() which of course just put 50 lines on one graph...not a great look.

How do I get individual line graphs for each state in a neat, organized way? (well, as neat as you can get with 50 graphs)

Sample Data

...

ANSWER

Answered 2021-Feb-05 at 01:35

You can use seaborn's FacetGrid for this:

Source https://stackoverflow.com/questions/66056359

QUESTION

How to define figsize when plotting tree maps with squarify

Asked 2021-Jan-23 at 14:52

I'm plotting some tree maps using squarify.

I can't figure out how to define figsize for them though, nor I can find anything in their docs. Below the working code:

...

ANSWER

Answered 2021-Jan-22 at 23:08

The source of the plot function looks like this:

Source https://stackoverflow.com/questions/65853635

QUESTION

How to specify my own criteria in a HeatMap in Python

Asked 2020-Nov-24 at 11:27

I am trying to plot a HeatMap using the seaborn library. I am following this tutorial.

Now I am struggling because I want to make a "custom filter". Let me explain.

I have this input data:

...

ANSWER

Answered 2020-Nov-24 at 11:27

Not very sure about what you mean by hotter, whether it's two different color schemes for the different columns. Here's a modified code from this answer, I split a cool-warm into 2 color schemes. The lower, is used for your first column, the hotter for the 2nd column:

Source https://stackoverflow.com/questions/64958710

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

Vulnerabilities

No vulnerabilities reported

Install python-gr

You can download it from GitHub.
You can use python-gr 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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