spectra | Easy color scales and color conversion for Python | Theme library
kandi X-RAY | spectra Summary
kandi X-RAY | spectra Summary
Spectra is a Python library that makes color math, color scales, and color-space conversion easy. Support for:. Spectra is built on colormath and grapefruit. Spectra is enormously inspired by chroma.js and d3's scales.
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Top functions reviewed by kandi - BETA
- Creates a new instance with a white reference
- Convert from Lab to Xyz coordinates
- Creates a new Color object from a Lab
- Convert XYZ to RGB
- Return a Triadic color scheme
- Convert a Ryb to RGB
- Convert hue value to Ryb
- Gradient of this color
- Create a range of colors
- Create a new instance of a new Color instance
- Create a color from an html string
- Darken the source
- Desaturate the object
- Return a new instance of this colorpace
- Return a copy of the current color
- Create a new Color from pil to pil
- Return a complementary color
- Creates a new instance of a Color
- Creates a new Color from a CY
- Generate a new Color from Yiq coordinates
- Create a new instance from hsv
- Return a new Color instance from a CYK color
- Create a new Color from HTML
- Return a tuple of a hex color scheme
- Generate an analog color scheme
- Run doctest
spectra Key Features
spectra Examples and Code Snippets
Community Discussions
Trending Discussions on spectra
QUESTION
How to convert a Spark rdd containing np.array (or list) to a Spark DataFrame?
...ANSWER
Answered 2022-Apr-03 at 16:08Issues with such an approach, an alternative and use Double, some ballast at end:
QUESTION
I am writing code to process a list of URL's, however some of the URL's have issues and I need to pass them in my for loop. I've tried this:
...ANSWER
Answered 2022-Mar-27 at 14:26There's no need to compare the result of re.search
with True
. From documentation
you can see that search
returns a match object
when a match is found:
Scan through string looking for the first location where the regular expression pattern produces a match, and return a corresponding match object. Return
None
if no position in the string matches the pattern; note that this is different from finding a zero-length match at some point in the string.
So, when comparing a match object
with True
the return is False
and your else
condition is executed.
QUESTION
I have to read excel file with starting file name. So I use glob which return me the file path with file name in list. Now I want to pass the file path to Openpyxl so I can read excel. How can I do that?
...ANSWER
Answered 2022-Mar-25 at 18:44The load_workbook() function will accept a WindowsPath as an arugment.
Try something like this:
QUESTION
I am attempting to split a csv file based on unique column values into multiple files using awk. I am able to split the csv successfully with awk -F\, '{print > $2".csv"}' example.csv
however it is committing the header column from the new files.
For example:
...ANSWER
Answered 2022-Mar-17 at 08:32You are almost there. Would you please try:
QUESTION
I have two Python files (using PyCharm). In Python file#2, I want to call a function in Python file#1.
...ANSWER
Answered 2022-Mar-08 at 16:27You can wrap up the functions of file 1 in a class and in file 2 you can create object and can call the specific function. However if you can share the file 1's code then it would be clear. For your reference find below...
File-1
QUESTION
I have a number of spectra: wavelength/counts at a given temperature. The wavelength range is the same for each spectrum.
I would like to interpolate between the temperature and counts to create a large grid of spectra (temperature and counts (at a given wavelength range).
The code below is my current progress. When I try to get a spectrum for a given temperature I only get one value of counts when I need a range of counts representing the spectrum (I already know the wavelengths).
I think I am confused about arrays and interpolation. What am I doing wrong?
...ANSWER
Answered 2022-Mar-08 at 15:47I think what you want to achieve can be done with interp2d:
QUESTION
I wrote a function to open a txt file and returns me three numpy array. However, I get this error all the time, which I do not have any idea why?
...ANSWER
Answered 2022-Feb-15 at 02:08The error you are referring is when you call the function load_data_from_file()
.It seems that you are not passing the filename correctly in the parameters. The correct way to call it should be something like:
QUESTION
I am trying to install a very recent branch of a github repo into my google colab editor. I guess I haven't yet figured out the correct syntax, despite trying out different suggestions on StackOverflow. What I have tried so far is
...ANSWER
Answered 2021-Nov-18 at 14:17Try this, it worked in my colab:
QUESTION
I have been fitting different hierarchical GAMs (hereafter: HGAM) using mgcv
in R. I can extract and plot their predictions for their random effects without problems. Conversely, extracting and plotting their predictions for their fixed effects only works for some models, and I don't know why.
Here is a practical example, which refers to the color spectra of flowers from two species (Taxon
) sampled at various localities (also discussed here):
ANSWER
Answered 2021-Jul-20 at 11:14I think you are conflating several things here; The by
trick to turn off random effects only works for bs = "re"
smooths. Locality
is a factor (otherwise your random effect isn't a random intercept) and setting it to 0
is creating a new level (although it could be creating an NA as 0
isn't among the original levels.
If what you want to do is turn off anything to do with Locality
, you should use exclude
; however you have the invocation wrong. The reason why it's not working is because you are creating a character vector with a single element "c(Locality)"
. This fails for obvious reasons once you realize that c(Locality)
doesn't related to anything in your model. What you need to provide here is a vector of smooth names as printed by summary()
. For example, to exclude the smooth s(Locality, bs = "re")
, {mgcv} knows this as s(Locality)
, so you would use exclude = "s(Locality)"
.
In your case, it is tedious to type out all the "s(wl):LocalityLevelX"
labels for each smooth. As you have only two taxa, it would be easier to use the complimentary argument terms
, where you list smooth labels that you want to include in the model. So you could do terms = c("s(wl):TaxonSpeciesB", "s(wl):TaxonSpeciesC")
or whatever summary()
displays for these smooths.
You also need to include the Taxon
term in terms
, which I think needs to be:
QUESTION
Good afternoon,
have a folder with 231 .csv files and I would like to merge them in R. Each file is one spectrum with 2 columns (Wavenumber and Reflectance), but as they come from the spectrometer they don't have colnames. So they look like this when I import them:
...ANSWER
Answered 2021-Jul-15 at 16:05no need for a loop here simply use lapply.
first set your working directory to file location###Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install spectra
You can use spectra 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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