phi | gpu accelerated code-editor ; definitely not to be | Editor library
kandi X-RAY | phi Summary
kandi X-RAY | phi Summary
Phi is a minimal code editor designed to look pretty, run fast, and be easy to configure and use. It's primary function is for editing code. The editor is still a work in progress. There is a chance it will eat up your battery, run quite slowly, and probably crash frequently. **Do not edit your precious files with this editor!**.
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QUESTION
I have a dataset with multiple variables and wish to plot them on one graph as one series so that I can plot a "trendline" through the datapoints. However, it's important that the order is the same as the row names in the original dataframe.
I can plot the points as so:
...ANSWER
Answered 2021-Jun-14 at 11:24To maintain the same order as rownames of the orignal dataframe you can do -
QUESTION
I need to give these integers names like ex_number_1
, ex_number_2
, ex_number_3
, etc... These are each going to be saved as a different branch of a tree. So I have done:
ANSWER
Answered 2021-Jun-08 at 23:32It complains about conflicting variable declarations
Simply give the array variable a different name than what you gave for the integer variable. Example:
QUESTION
I deployed my server on Heroku but when I make any requests it returns a "500 Internal Server" error. It runs fine locally though. Could anyone help figure out what's going on?
When I check my logs this is what I'm getting.
...ANSWER
Answered 2021-Jun-08 at 23:10As mentioned here on Heroku help, this indicate that there was a failed authentication attempt to the database, so the connection couldn't be established. This can happen because of different reasons.
In your case i suspect it's something related to not using ssl.
So after taking a look on the code provided in the github repo i noticed you are using knex
and getting the connection string
from .env
Try this :
Just add this
?ssl=true
and append it to the end ofDATABASE_URL
in your.env
file.Edit your server.js (i didn't take a good look at the code so you need to add this
ssl: { rejectUnauthorized: false }
in your connection config) :
QUESTION
I used barplot3d::barplot3d
to visualize my data. I have been trying to assign a color to each row instead of using topcolors = rainbow(100)
, but I could not figure it out. I appreciate any helps, suggestions, or references.
Here is the code that I have:
...ANSWER
Answered 2021-Jun-08 at 12:39Answer
Just repeat each column cols
times, where cols
is the number of columns:
QUESTION
I can use \DeclareUnicodeCharacter{0278}{\phi}
and then $ɸ$
to display the ɸ symbol in LaTeX. However, when I try to use:
ANSWER
Answered 2021-Jun-08 at 09:28You need
- a package which provides the
\eth
macro in the encoding you are using, e.g.stix
- the
\eth
macro from this package is, unlike\phi
, a text macro and not a math macro, so either use it outside of a math environment or surround it with\text{..}
from theamsmath
package - if your tex distribution is not totally out of date, you don't need
\usepackage[utf8]{inputenc}
, that's the default since a couple of years
QUESTION
the code below is from the book "Python for Probability, Statistics, and Machine Learning. The clarification needed is for the plotting section. The problem is that "logJ" in the script is not-defined. However, the book provides this as the code to plot the graph. How do you correct (code) the plotting part of the script so it plots the output shown?
...ANSWER
Answered 2021-Jun-05 at 14:01With a couple of changes (logL to logJ, and map made into list) displays the graph:
QUESTION
I am trying to make a script that prints a set of characters based on their Unicode names (What I mean by 'Unicode name' is that I want to use the character's 'description', not the codepoint).
I understood that the standard way to do it for a single character is to do:
...ANSWER
Answered 2021-Jun-01 at 15:49Does this work for you?
QUESTION
Let's say I have a pytorch-model describing the evolution of some multidimensional system based on its own state x and an external actuator u. So x_(t+1) = f(x_t, u_t) with f being the artificial neural network from pytorch.
Now i want to solve a dynamic optimization problem to find an optimal sequence of u-values to minimize an objective that depends on x. Something like this:
min sum over all timesteps phi(x_t)
s.t.: x_(t+1) = f(x_t, u_t)
Additionally I also have some upper and lower bounds on some of the variables in x.
Is there an easy way to do this using a dynamic optimization toolbox like pyomo or gekko?
I already wrote some code that transforms a feedforward neural network to a numpy-function which can then be passed as a constraint to pyomo. The problem with this approach is, that it requires significant reprogramming-effort every time the structure of the neural network changes, so quick testing becomes difficult. Also integration of recurrent neural networks gets difficult because hidden cell states would have to be added as additional variables to the optimization problem.
I think a good solution could be to do the function evaluations and gradient calculations in torch and somehow pass the results to the dynamic optimizer. I'm just not sure how to do this.
Thanks a lot for your help!
...ANSWER
Answered 2021-May-27 at 13:39Tensorflow or Pytorch models can't be directly integrated into the GEKKO at this moment. But, I believe you can retrieve the derivatives from Tensorflow and Pytorch, which allows you to pass them to the GEKKO.
There is a GEKKO Brain module and examples in the link below. You can also find an example that uses GEKKO Feedforward neural network for dynamic optimization.
GEKKO Brain Feedforward neural network examples
MIMO MPC example with GEKKO neural network model
Recurrent Neural Network library in the GEKKO Brain module is currently being developed, which allows using all the GEKKO's dynamic optimization functions easily.
In the meantime, you can use a sequential method by wrapping the TensorFlow or PyTorch models in the available optimization solver such as scipy optimization module.
Check out the below link for a dynamic optimization example with Keras LSTM model and scipy optimize.
QUESTION
I want to calculate integral of implicit function containing imaginary numbers
where f(iz) is something like:
and g(ix) is something like:
I want to calculate it numerically. Python scipy.quad
doesn't calculate integrals of imaginary numbers (explained in Code 1 below). Quadpy
isn't efficient also, because it passes entire numpy array instead of single values of integral (explained in code 2 below) and thus needs additional manipulation. So I am thinking about dividing integrals like in the way shown below (where Re is real part and Im is imaginary part):
and expanding above equation:
Can I do that?
And here are codes, where I show two ways to approach the problem.
Code 1:
First approach scipy.quad
. According to:
Use scipy.integrate.quad to integrate complex numbers
I tried dividing into real and imaginary parts and calculating integral values of them separately:
ANSWER
Answered 2021-May-27 at 09:21This is my interpretation of your integral
The answer about how to generalize the integral can be extended to double integral (provided by dblquad function).
QUESTION
I have a square matrix of some probabilities, call it Phi
, stored as a pandas Dataframe. I want to try multiplying this matrix by itself a large number of times to see what happens. I can easily 'square' the matrix with:
ANSWER
Answered 2021-Jan-31 at 11:28Phi**1000
where **
is python power operator
Unless you know this converges, the result will quickly overflow and you will end up with nowhere.
Slowy increase the to the power of N and see if the result is converging, many elements goes to 0 in this case. If it diverges, many elements will increase but overflow to 0, so you better test out from small N to larger N
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