fractals | Julia and Mandelbrot Fractal Generator

 by   carl-mastrangelo C Version: Current License: MIT

kandi X-RAY | fractals Summary

kandi X-RAY | fractals Summary

fractals is a C library. fractals has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Julia and Mandelbrot Fractal Generator.
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            kandi-support Support

              fractals has a low active ecosystem.
              It has 1 star(s) with 1 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              fractals has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of fractals is current.

            kandi-Quality Quality

              fractals has 0 bugs and 0 code smells.

            kandi-Security Security

              fractals has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              fractals code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              fractals is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

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

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            fractals Key Features

            No Key Features are available at this moment for fractals.

            fractals Examples and Code Snippets

            No Code Snippets are available at this moment for fractals.

            Community Discussions

            QUESTION

            Pandas data frame adding a column based on data from 2 other columns
            Asked 2022-Mar-31 at 20:40

            I have a data frame. One column is called fractal. It has 0's or 1's in which the 1's represents a fractal. Here is the output of np.flatnonzero to get an idea of the frequency of fractals:

            ...

            ANSWER

            Answered 2022-Mar-31 at 20:40

            QUESTION

            Who can explain how this code is not an error?
            Asked 2022-Mar-14 at 19:36

            I was making some exercise to train myself and the exercise asked me to do a program that calculates fractals, very simple, i've done in about 1-2 minutes and it work, but looking at his solution it return x multiplicated by the function itself? how does this run? I know maybe it's a stupid question but i think it might be useful.

            ...

            ANSWER

            Answered 2022-Mar-14 at 19:36

            Here's a walk through of whats going on.

            First, you call fract(int(input())). The input method gets a response from the user and parses that to an int. and then calls fract on that int.

            Say we enter 3. So our print statement evaluates to fract(3).

            fract(3) returns 3 * fract(2) fract(2) is called and that returns 2 * fract(1) fract(1) is called and that returns 1

            So putting it altogether and substituting function calls for what they return we get fract(3) returns 3 * (2 * (1)).

            Source https://stackoverflow.com/questions/71473237

            QUESTION

            Williams Fractals plot not consistent with strategy results
            Asked 2022-Feb-04 at 10:00

            I am doing a very simple test using the Williams Fractal indicator that I copied directly from the standard one in Tradingview "as is".

            I am trying to enter the trade when downFractal is true, exit it when upFractal is true.

            The results of the strategy are completely inconsistent with what they should be as for the plotting and, for the love of me, I honestly cannot understand why. Maybe I am not using boolean variables right?

            ...

            ANSWER

            Answered 2022-Feb-04 at 09:52
            plotshape(downFractal, "downFractal", style=shape.triangledown, location=location.belowbar, offset=-n, color=#F44336, size = size.small)
            plotshape(upFractal, "upFractal", style=shape.triangleup,   location=location.abovebar, offset=-n, color=#009688, size = size.small)
            

            Source https://stackoverflow.com/questions/70983902

            QUESTION

            Patterning condition occurrences valuewhen() with bar_index as source
            Asked 2021-Oct-09 at 23:29

            I am attempting to spot a pattern of conditions (Williams Fractals, in this case).

            According to rumpypumpydumpy's helpful answer/explanation here, I can use the valuewhen() function with the bar_index variable as the source, giving me the position of the occurrence!

            However I must be misapplying this technique, because I can't get a shape to plot.

            What I'm looking for is an alternating Fractals pattern (up/down/up); here is my current code snippet:

            ...

            ANSWER

            Answered 2021-Oct-09 at 23:29
            upFractal = high < high[1] and high[1] > high[2]
            downFractal = low > low[1] and low[1] < low[2]
            
            plotshape(upFractal, style = shape.triangleup, location = location.abovebar, offset = -1, color = color.green, size = size.normal)
            plotshape(downFractal, style = shape.triangledown, location = location.belowbar, offset = -1, color = color.red, size = size.normal)
            
            uf_0_bar_index = valuewhen(upFractal, bar_index, 0)
            df_0_bar_index = valuewhen(downFractal, bar_index, 0)
            uf_1_bar_index = valuewhen(upFractal, bar_index, 1)
            df_1_bar_index = valuewhen(downFractal, bar_index, 1)
            
            pattern_order = uf_0_bar_index > df_0_bar_index and df_0_bar_index > uf_1_bar_index
            plotshape(pattern_order, style=shape.triangleup, location=location.abovebar, offset=-1, color=color.orange, size = size.small)
            

            Source https://stackoverflow.com/questions/69508343

            QUESTION

            How to visualize fractals in python
            Asked 2021-Jun-22 at 14:16

            This is the code for generating the fractals.

            ...

            ANSWER

            Answered 2021-Jun-22 at 14:16

            Although matplotplib is primarily suited for plotting graphs, but you can draw points and polygons using it if you wish as well; see also: How to draw a triangle using matplotlib.pyplot based on 3 dots (x,y) in 2D?

            For instance, to compose a Sierpinski triangle from polygons, and plot those polygons onto a figure:

            Source https://stackoverflow.com/questions/68084082

            QUESTION

            Unable to optimize Fractal code with Numba
            Asked 2021-May-12 at 14:48

            I am writing code to visualize Mandelbrot sets and other fractals. Below is a snippet of the code that is being run. The code runs perfectly fine as is, but I am trying to optimize it to make higher resolution images faster. I've tried using caching on fractal(), along with @jit and @njit from Numba. Caching resulted in a crash (from memory overflow I'm assuming) and @jit just slows down the execution of my program by a factor of 6. I am also aware of the many mathematical ways there are of making my code run faster, as I've seen on the Wikipedia page, but I would like to see if I can get one of the above methods or some alternative to work.

            For creating multiple images in a row (to make a zoom animation, like this one) I've implemented multiprocessing (which seems to run 9 processes at once) but I don't know how to implement the same in the creation of a single high resolution image.

            Here is my code snippet:

            ...

            ANSWER

            Answered 2021-May-12 at 14:48

            This older answer deals specifically with vectorization, but some additional optimization can be done.

            You can start with Numpy vectorization, convenient but not really fast:

            Source https://stackoverflow.com/questions/67500870

            QUESTION

            Finding highs and lows between lower and upper limit on Stochastic
            Asked 2021-May-10 at 18:43

            I'm trying to create Stochastic Divergences and I don't really like the available open source scripts. The question is how do I obtain the highs and lows below 30 and above 70 lower and upper limits only? That way I could compare them to their price above and there we go with the divergences. I'm not really interested in what's between those limits because it's inaccurate. Most of the scripts are using fractals, but I want specifically the outer highs/lows. Could you please share your experience on how to find those?

            ...

            ANSWER

            Answered 2021-May-10 at 18:43

            Could use something like this:

            Source https://stackoverflow.com/questions/67473755

            QUESTION

            Drawing rectangles of different sizes in a loop
            Asked 2021-Feb-04 at 23:37

            I wrote this little snippet of code in Processing, that draws rectangles via a loop… each rectangle is slighty wider as the code loops through the rows… So far so good… But what I actually would like to achieve is that in the first row is 1 rectangle, in the second row 2, in the third 3 and so on… in other words, that every row has as many rectangles in it as its row number… But I am really stuck here. I thought of a nested loop. With that I can draw in X and Y axis… but how to combine that with the with? Does this have something with fractals to do?

            Here ist my little snippet:

            ...

            ANSWER

            Answered 2021-Jan-07 at 21:44

            TIME FOR RECURSION!!!

            Pardon my enthusiasm, but I love recursion and I don't have many opportunities to use it (mostly because it can be avoided most of the time and also because to use it at the wrong time is straight up moron).

            The way I see this, you can achieve this with the following pseudocode:

            Source https://stackoverflow.com/questions/65618173

            QUESTION

            How to generate a pink noise image?
            Asked 2021-Jan-20 at 16:45

            I am trying to replicate "Frequency Synthesis of Landscapes" by P. Bourke in Python. I thought it would be a simple

            ...

            ANSWER

            Answered 2021-Jan-20 at 15:24

            The problem here is that by computing pinktransformed = np.reciprocal(fouriertransformed) you compute the reciprocal of the amplitudes, but what you actually want is scaling these amplitudes by 1/f**2, so you'd have to replace that line with

            Source https://stackoverflow.com/questions/65811248

            QUESTION

            how to define power spectrum across 3 dimensions?
            Asked 2020-Oct-04 at 06:56

            I'm trying to modify some existing matlab code from 2 dimensions to 3 dimensions, and running in to a conceptual block. The original script generates fractals from 2d random noise by running an ifft(3) on the product of a power spectrum and random noise. In order to define the power spectrum I have to define the frequencies in U, V and W dimensions.

            I'm having a mental block of what the W dimension frequencies should look like in relation to U and V. Obviously they wouldn't just be a transpose of U or V. Included a little extra code at the beginning and end if it helps clarify things. The var powerspectrum is currently returning a 2d matrix and it should be 3d. Thanks!

            ...

            ANSWER

            Answered 2020-Oct-04 at 06:56

            Instead of using repmat you can reshape u, v and w into [sidelength 1 1] , [1 sidelength 1] and [1 1 sidelength] arrays respectively and let implicit expansion to do its work and create a [sidelength sidelength sidelength] array:

            Source https://stackoverflow.com/questions/64191811

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

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