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kandi X-RAY | concentration Summary
kandi X-RAY | concentration Summary
Or, if pip is already set to use Python 3.
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concentration Key Features
concentration Examples and Code Snippets
def stateless_random_gamma(shape,
seed,
alpha,
beta=None,
dtype=dtypes.float32,
name=None):
"""Outputs determinis
def carrier_concentration(
electron_conc: float,
hole_conc: float,
intrinsic_conc: float,
) -> tuple:
"""
This function can calculate any one of the three -
1. Electron Concentration
2, Hole Concentration
3. Intrins
def __init__(self,
concentration1,
concentration0,
validate_args=False,
allow_nan_stats=True,
name="BetaWithSoftplusConcentration"):
parameters = dict(locals())
with o
Community Discussions
Trending Discussions on concentration
QUESTION
On a fresh install of R, Rtools, Rstudio on Windows 10, I am unable to knit in PDF (pdflatex or xelatex) the following rmarkdown file consisting in a kableExtra table including "é" characters in cells.
...ANSWER
Answered 2021-Jun-07 at 15:00I finally found the cause, almost by accident...
The new laptop on which I wanted to use Rstudio has a brand new installation of Windows 10 Pro. I seems that, by default, in "Region Settings" window the beta feature "Use Unicode UTF-8 for worldwide language support" is activated. This results in the previous error message when compiling a kable(Extra) with UTF-8 characters in PDF. Unselecting it solved the issue.
QUESTION
I've been working on some regplots and noticed that when I use sns.regplot seaborn cuts off my last and first datapoints. Here is my code. I know that I can set the xlim and ylim manually and therefore can circumvent this issue, but I was wondering if there is a more elegant way to solve this problem! Thanks so much in advance! Looking forward to hearing your solutions!
...ANSWER
Answered 2021-May-30 at 12:20You can use clip_on
keyword of the scatterplot
to turn off clipping. Here is an example:
QUESTION
I have a case where reaction flux is present at a boundary and flux is proportional to the concentration variable c
. Will the following correctly apply the boundary condition:
ANSWER
Answered 2021-May-27 at 13:09It sounds like you have a Robin Condition. Please revise your question of that documentation doesn't help.
QUESTION
I have the following example dataframe in R:
...ANSWER
Answered 2021-May-20 at 16:57This could be done as:
QUESTION
I have an array of values (concentration values), with each value taken at a different time point. I need to fit a gamma-variate curve (formula is in the picture below) to these values (i.e. find alpha and beta such that the curve best fits those points - all other variables are known.)
an example of the values i might get (crosses), and the curve I'd want to fit:
I have no idea how to do this. I tried to fit a simplified version of the formula, one that can be solved by using linear regression, by using matrices but I couldn't get it to work. That version of the formula (in which you only solve for one variable, alpha) looks like this:
simplified version, which would also be fine:
my attempt to solve fit the linear regression curve using matrices, using the vnl library (https://vxl.github.io/doc/release/core/vnl/html/index.html) looked like this. I was following this guy's tutorial (https://machinelearningmastery.com/solve-linear-regression-using-linear-algebra/)
...ANSWER
Answered 2021-May-09 at 17:14This is a problem which is not best suitable to solving by ITK. While you could use ITK's Optimizer infrastructure, there are better/simpler choices.
Maybe try NLOpt? Here is an example of how to use it. Also, you could look at this code which fits a polynomial to points in 3D space.
QUESTION
I am trying to merge multiple rows into one row. I want all samples from Group.1
with its corresponding Group.2
and cqs
data merged into one row by lot_number
.
Important detail: I have three different sample types in the Group.1
column. I think what I'm having such a hard time with is that I need to merge three different sample types into one row by lot_number
. A lot of the tools I'm aware of only merge two data tables or frames.
What I have:
Group.1 Group.2 cqs lot_number 1xLOD_2234567 MS2 39 2234567 NC_2234567 MS2 37 2234567What I need:
Group.1 Group.2 cqs lot_number (new col) (new col) (new col) 1xLOD_2234567 MS2 39 2234567 NC_2234567 MS2 37These are different concentration levels of solutions that I want matched up by lot number. I have tried ideas like:
...ANSWER
Answered 2021-May-04 at 16:36We can use pivot_wider
QUESTION
I'm trying to save the plots I got using "el in list". With "plot.show()" I only have the last plot. I tried with another one "plot.savefig.." but it didn't work so I left them as a comment. This is the code:
plot data gas flowslist = ['N2 flow', 'O2 flow', 'CH4 flow', 'CO2 flow']
for el in list:
...ANSWER
Answered 2021-May-03 at 19:49#plt.savefig(+ "{el['plot_data'].iat[0]}_plot.png")
QUESTION
I have sampled the concentration of gas x and y in jars with and without soil. The gas concentrations are highest in the empty jars without soil and now I wish to know how much of the gases the soil have been taking up.
The concentrations were measured with jars under different conditions: source
was either o
or n
and activity
was either low
or high
. The sampling
was either soil
or blank
and jars
were named jar1
, jar2
, jar3
, jar4
, blank1
, blank2
.
I now want to calculate the relative concentration of gas x
and gas y
for each unique measurement condition, e.g. source
= o
, activity
= low
.
The calculation should be ((blank1+blank2)/2/jar1). I have given the expected values in two columns called x_pct
and y_pct
.
Any ideas as how to set an effectful code up?
The data looks like this:
...ANSWER
Answered 2021-Apr-28 at 09:38Perhaps like this:
QUESTION
I wish to represent a diffusion in a 2D network (diffusion coefficient dependent on the value of phi) and a set phi input rate in a specific cell (so not a BC on a face). This seems like a very simple scenario, however, I must be doing something wrong as I get very odd results when computing this example:
...ANSWER
Answered 2021-Apr-26 at 18:38.updateOld()
is a method, not a property (it needs parentheses).
QUESTION
In R I have a dataframe with an ID column, multiple columns with a categorical value ('AA', 'AB', 'BB') and 1 column with a numerical value. It looks like this:
SUBJID SNP1 SNP2 Concentration 1 'AA' 'BB' 20 2 'AA' 'AA' 8 3 'BB' 'BB' 19 4 'AB' 'AB' 30Needed is the mean 'concentration' for each value per column. Can this be done with dplyr in the current dataframe or should I first transform the dataframe to a different shape for example?
I know how to get the mean value for 1 specific column: df %>% group_by(SNP1) %>% summarise(n=n(), Mean = mean))
. This doesn't help me to get the mean concentration per value within a column for multiple columns.
Desired output:
Group Mean concentration SNP1 'AA' 20.5 SNP1 'AB' 22.5 SNP1 'BB' 19.8 SNP2 'AA' 20.9 SNP2 'AB' 18.9 SNP2 'BB' 15.1Has to be done for up to 13 columns (SNPs).
...ANSWER
Answered 2021-Apr-24 at 16:51Is this what you are looking for? The 'trick' here is to pivot_longer
:
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Vulnerabilities
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Install concentration
You can use concentration 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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