normalise | A module for normalising text | Frontend Framework library
kandi X-RAY | normalise Summary
kandi X-RAY | normalise Summary
This module takes a text as input, and returns it in a normalised form, ie. expands all word tokens deemed not to be of a standard type. Non-standard words (NSWs) are detected, classified and expanded. Examples of NSWs that are normalised include:.
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Top functions reviewed by kandi - BETA
- Expand W coordinate string
- Expand a number
- Tag a dictionary
- Run classification
- Insert punctuation into text
- Concatenate a dictionary into a dictionary
- Expand a word w
- Tokenize basic text
- Expand a URL
- Infer spaces from a string
- Generate email address
- Expand hashtag
- Expand a date string
- Run classification on a classification
- Tag a dict into tagable tags
- Run classification on text
- Expand a percentage
- Run the classification on the given text
- Expand a time string
- Retagify a dictionary
- Normalise text
- Create the NUMBEX file
- Prints a list of gold standard errors
- Returns a tuple of predicted gold and gold values
- Rejoin a text
- List of predicted tags
- List of gold standard tags
- Generate seeds
- Create the alphas file
- Train the model
normalise Key Features
normalise Examples and Code Snippets
Lines of Code : 7License : Permissive (MIT License)
Copydef NormNIR(self):
"""
Norm self.nir
https://www.indexdatabase.de/db/i-single.php?id=51
:return: index
"""
return self.nir / (self.nir + self.red + self.green) def _normalise_fspath(path):
"""Convert pathlib-like objects to str (__fspath__ compatibility, PEP 519)."""
return os.fspath(path) if isinstance(path, os.PathLike) else path Community Discussions
Trending Discussions on normalise
QUESTION
I am writing a snakemake to produce Sars-Cov-2 variants from Nanopore sequencing. The pipeline that I am writing is based on the artic network, so I am using artic guppyplex and artic minion.
The snakemake that I wrote has the following steps:
- zip all the
fastqfiles for all barcodes (rulezipFq) - perform read filtering with
guppyplex(ruleguppyplex) - call the
artic minionpipeline (ruleminion) - move the stderr and stdout from qsub to a folder under the working directory (rule
mvQsubLogs)
Below is the snakemake that I wrote so far, which works
...ANSWER
Answered 2021-Jun-08 at 15:40The rule that fails is rule guppyplex, which looks for an input in the form of {FASTQ_PATH}/{{barcode}}.
Looks like the wildcard {barcode} is filled with barcode49/barcode49.consensus.fasta, which happened because of two reasons I think:
First (and most important): The workflow does not find a better way to produce the final output. In rule catFasta, you give an input file which is never described as an output in your workflow. The rule minion has the directory as an output, but not the file, and it is not perfectly clear for the workflow where to produce this input file.
It therefore infers that the {barcode} wildcard somehow has to contain this .consensus.fasta that it has never seen before. This wildcard is then handed over to the top, where the workflow crashes since it cannot find a matching input file.
Second: This initialisation of the wildcard with sth. you don't want is only possible since you did not constrain the wildcard properly. You can for example forbid the wildcard to contain a . (see wildcard_constraints here)
However, the main problem is that catFasta does not find the desired input. I'd suggest changing the output of minion to "nanopolish/{barcode}/{barcode}.consensus.fasta", since the you already take the OUTDIR from the params, that should not hurt your rule here.
Edit: Dummy test example:
QUESTION
I have this date-time stamp:
...ANSWER
Answered 2021-Jun-08 at 13:44You're not escaping the T, so it's attempting to use that as a placeholder (Timezone abbreviation). The correct format would be
QUESTION
How can I normalise a floating point decimal in the range [0.0, 1.0] to become a number that is set between a range of max and min value? Is normalise the right word? Following what I want to do.
If I input 0.5 and the range is 0 to 10, then the output should be 5.
If I input 0.799999 and the range is 0 to 10, then the output should be 8.
If I input 0.345 and the range is 0 to 10, then the output should be 3.
If I input 0.555 and the range is 0 to 20, then the output should be 11.
ANSWER
Answered 2021-Jun-04 at 13:54The term you are looking for is "Interpolation" a.k.a "Linear Interpolation" a.k.a lerp:
You can easily create a template that will do what you want:
QUESTION
I have 4 tables -
...ANSWER
Answered 2021-Jun-04 at 11:24You just need logic to differentiate between when you want to add a workout_id to a testSession, and when you've moved on to a new group or date.
Something like...
QUESTION
I'm producing a multivariate probability density function below. This works fine but I'm hoping to normalise the Z value so it elicits a value between 0 and 1.
To achieve this I want to divide the distribution value at the mean so it's always 1 at the mean and lower elsewhere. I understand the sum of all values will be greater than 1.
I'm diving Z but the sum of Z but when printing the values, they still are outside my intended normalised range.
ANSWER
Answered 2021-May-31 at 02:23If you want to normalise Z, you need to divide it not by the sum, but by the maximum over all its values. Thus you ensure that the new maximum is 1:
QUESTION
in order to understand 3D graphics (mostly the matrix transformation part), I've made a simple 3D engine in tkinter.
The problem is that now, after adding a camera, I am stuck. I wanted to bind WASDEQ keys to move the camera (W is up, S is down, A is left, D is right, E is forwatd, Q is backwards) and arrow keys to rotate it. However, upon trying out these features, I discovered that they are always done relative to the XYZ axes. That means that if I have my camera pointed straight downwards, I would expect (after pressing E) to go toward the place it's looking at. However, it goes to the negative Z axis.
The same goes to rotating the camera. For some reason, looking left and right is always done relative to the camera's current position, but looking up and down is done relative to the X axis, not the current camera position. If anyone could point me towards a solution or a material which would explain the necessary transformation order, I would be grateful.
Here is the entire code, it's relatively short:
...ANSWER
Answered 2021-May-30 at 15:14Matrix multiplications are not Commutative. The rotation and movement is an ongoing process. The movement depends on the previous rotation and movement:
QUESTION
I have a time stamp in a data set like this : 2021-04-21 22:25:20 -0800 , this is all in one cell.
This is formatted as Date, time, Timezone Offset.
I am in the GMT time zone, so the actual time and date the above timestamp adjusted for the timezone is 2021-04-22 06:25:20 (note the time and date have changed as they have been brought forward by the timezone offset)
Is there a way in excel i can apply a formula to "normalise" these time stamps so that they are adjusted for my timezone ?
Ive tried myself but im not sure of the best way to do this, ive tried spliting the data into 3 separate columns, (eg. date, time, timezone) and then adjusting the time by the timezone offset, but this wont adjust the date.
...ANSWER
Answered 2021-May-23 at 13:31I don't know of an automated setting to convert time zones, but you can do it splitting in two, date/time and offset. Let's say date/time in A1 and offset in B1. If you want converted time in C1 then it would be:
QUESTION
I have an SQL table with a lot of results of a simulation, and I need to normalise my results by +-10%. I would like to be able to do this from a query; that is, each column value is multiplied by a random value between 0.9 and 1.1.
My table has the following form:
id_result parameter_a parameter_b 1 358.02 0.115 2 357.31 0.052 3 320.89 0.233 4 387.11 0.011The result would be that each result of columns parameter_a and parameter_b would be replace by itself * random between 0.9 and 1.1. This would be:
id_result parameter_a parameter_b 1 358.02 * RANDOM(0.9;1.1) 0.115 * RANDOM(0.9;1.1) 2 357.31 * RANDOM(0.9;1.1) 0.052 * RANDOM(0.9;1.1) 3 320.89 * RANDOM(0.9;1.1) 0.233 * RANDOM(0.9;1.1) 4 387.11 * RANDOM(0.9;1.1) 0.011 * RANDOM(0.9;1.1)Does anyone know how to do this with an SQL query?
...ANSWER
Answered 2021-May-17 at 14:30I think RAND() should achieve what you are looking for:
QUESTION
I have a parallel coordinates plot with lots of data points so I'm trying to use a continuous colour bar to represent that, which I think I have worked out. However, I haven't been able to remove the default key that is put in when creating the plot, which is very long and hinders readability. Is there a way to remove this table to make the graph much easier to read?
This is the code I'm currently using to generate the parallel coordinates plot:
...ANSWER
Answered 2021-May-15 at 14:13You can use ax.legend_.remove() to remove the legend.
The cax parameter of plt.colorbar indicates the subplot where to put the colorbar. If you leave it out, matplotlib will create a new subplot, "stealing" space from the current subplot (subplots are often referenced to by ax in matplotlib). So, here leaving out cax (adding ax=ax isn't necessary, as here ax is the current subplot) will create the desired colorbar.
The code below uses seaborn's penguin dataset to create a standalone example.
QUESTION
I am trying to use edgeR for differential expression analysis of a biologial count dataset. My samples are split into case and controls and I would like to know the genes that are up or down regulated in case samples (i.e. those with the condition) versus controls. However, I am having an issue where currently genes' results are related to the control samples rather than case when using edgeR. I can reproduce the issue in R with fake data.
The fake data has lower count values in control than case samples so we would expect all genes to be up-regulated in case samples:
...ANSWER
Answered 2021-May-09 at 17:15You are renaming the factor levels instead of releveling the factor. To fix that, try:
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Install normalise
You can use normalise 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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