acyl | Personal fork of ACYL icons | Icon library
kandi X-RAY | acyl Summary
kandi X-RAY | acyl Summary
NOTE: if you find yourself here for some reason, checkout this fork: This is a clone of ACYL (Any Color You Like) icons from pobtott's deviant post, with my personal preferences and a bash script to change the icon colors (icon.sh). To use this (change icon colors) call like: icon.sh "#000000".
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Top functions reviewed by kandi - BETA
- Make the settings for the widget
- Initialize the widget .
- Load the state file
- Saves state to file
- Switch icons .
- Change the logo .
- Applies custom settings
- Exports the GUI config file
- Changes the value of the combo box
- Filter widget
acyl Key Features
acyl Examples and Code Snippets
Community Discussions
Trending Discussions on acyl
QUESTION
I am attempting to use the omu_anova function in the omu package for a set of metabolomics data. My code is the following,
ANSWER
Answered 2021-Oct-22 at 07:48Here is my hypothesis: Your error results from one or more of the 15 sample columns in the count table (not Metabolite or KEGG) being incorrectly rendered as something other than "numeric" variables.
Looking at the source code for omu_anova, the "Metabolite" column is first assigned to the rownames of the data frame and then the following line selects only the columns in the count data that are numeric.
QUESTION
I would like to convert the data into a dictionary to work with. The data looks like keys and values in a dictionary, but they are combined into a single element.
here's a sample of the data
...ANSWER
Answered 2021-Oct-09 at 07:52d = {}
for line in lines:
s = line.split(":")
d[s[0].strip(' "')] = s[1].strip(' ",\n')
QUESTION
I have my datafram:
...ANSWER
Answered 2021-Sep-13 at 04:00This plot isn't exactly the same as yours (your 'reproducible example' was missing the variable "v2") but here is a potential solution:
QUESTION
I need help cause I´m stuck. I have one txt file with sequence ids, it looks like this -->
...ANSWER
Answered 2020-Oct-27 at 15:32You're just missing some sort of loop for x in y: additionally, file handlers are iterable in Python (iterating by-lines for non-binary mode), which will save you from having to load the entire file into memory before starting iteration (as .readlines() does)
QUESTION
ANSWER
Answered 2020-Sep-12 at 18:43You can transpose your input matrix with t(). Then you have to change the other parameters that depend on rows/columns of your heatmap accordingly:
QUESTION
I am looking to retrieve the titles and PMID (PubMed ID) records from the webpage and saving the same in the MS excel file. I tried using the easyPubMed library in R to extract, however, I am not able to obtain the same. Is there any library or package obtain this. Please assist me with this.
Example of the input data and expected output data is provided below:
Code:
...ANSWER
Answered 2020-Aug-24 at 15:12You need to collect and parse the results of your query. I Think something like this should do
QUESTION
I have two variables, x and y, that are random variables. I want to fit a curve to them that plateaus. I've been able to do this using an exponential fit but I'd like to do so with a quadratic fit as well.
How can I get the fit to flatten out at the top? FWIW, the y data were generated such that no value goes above: 4300. So probably in the new curve it should have this requirement.
...ANSWER
Answered 2020-Jun-03 at 02:51I'm not too familiar with scipy.optimise but, if you find the Euclidian distance between the point that contains x-max and the one that contains your y-max, divide it in half and do some trig, you could use that coord to either force your quadratic through it, or use it in your array. (again not too familiar with scipy.optimise so I'm not sure if that first option is possible, but the second should lessen the downwards curve)
I can provide the proof if you don't understand.
QUESTION
I want to create a function that creates 3 data frames then takes the element wise-average of the three. The data frames are generated from a loop using a dictionary that was defined in an earlier step, like this:
...ANSWER
Answered 2020-Apr-25 at 19:04In your example, "df_1" is a string in the list datasets, not a variable. If you want to access by name, then you would want datasets to be a dict with a key of df_1, etc. and the value a dataframe.
But you don't need to name items here because all you want is an average.
So I think you should simplify the function. For example, the inner loop over datasets seems to create three copies of the same value; that seems like it can be omitted. Also, if filenames is a dict where each value is a dataframe, so you can iterate over the values directly.
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You can use acyl 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.
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