NitroGen | Discord nitro code generator | Chat library
kandi X-RAY | NitroGen Summary
kandi X-RAY | NitroGen Summary
NodeJS Discord nitro generator.
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QUESTION
I'm trying to find fractions not preceded by a word followed by a /, for example, s2. My code doesn't work for that one but it's able to capture for other ones. Can you please help modify the regex expression? The expected is given followed by _f.
...ANSWER
Answered 2021-Jun-14 at 21:16We could match either a regex lookaround to match the lower case letters ((?<=[a-z])
) followed by either one or more space, comma ([, ]+
) followed by any /
and digits (\\d+
) and other characters (.*
) or (|
) one or more digits and other characters and replace with blank (""
)
QUESTION
UPDATE: I've found a mistake - I used plotOutput instead of plotlyOutput. All is fine now.
I want to build a Shiny dashboard that does something like that:
- takes a dataset with a numeric variable value
- uses Numeric Input widget to obtain a numeric value
- creates new variable value2=value*number provided in the Numeric Input box
- plots a bar chart
The sample code is below. It correctly places the Numeric Input box, but the chart does not appear (the box where the chart is supposed to be is completely empty). Why?
...ANSWER
Answered 2021-Jun-02 at 15:35Use plotlyOutput
instead of plotOutput
and add library(plotly)
QUESTION
library(ggplot2)
library(viridis)
library(hrbrthemes)
# create a dataset
specie <- c(rep("sorgho" , 3) , rep("poacee" , 3) , rep("banana" , 3) , rep("triticum" , 3) )
condition <- rep(c("normal" , "stress" , "Nitrogen") , 4)
value <- abs(rnorm(12 , 0 , 15))
data <- data.frame(specie,condition,value, stringsAsFactors = FALSE)
data$condition[c(11, 12)] <- "other"
# Graph
ggplot(data, aes(fill = condition, y=value, x=condition)) +
geom_bar(position="dodge", stat="identity") +
scale_fill_viridis(discrete = T, option = "E") +
ggtitle("Studying 4 species..") +
facet_grid(specie~., scales = "free", space = "free") +
theme_ipsum() +
theme(legend.position="none") +
xlab("") +
coord_flip() +
theme(strip.text.x = element_text(angle = 0)) +
theme_classic()
...ANSWER
Answered 2021-May-31 at 14:50One option could be to define a helper variable for the plot, say cond2
, in data
with discrete names, but label by condition
using scale_x_discrete
, e.g.:
QUESTION
Going nuts. I have a melted dataframe that I am trying to display in a simple grouped barplot in ggplot2:
...ANSWER
Answered 2021-May-25 at 21:11Each value is different in pre, post i.e. 'A pre', 'B pre' etc. and similarly, 'A post', 'B post' etc. If we make it to a common group by removing the prefix part leaving the 'pre/post' then it would give similar output as in the example showed
QUESTION
Hi everyone I am new to angular. I am trying to create mat-cards for each object in an array however no cards appear.
Html:
...ANSWER
Answered 2021-May-24 at 17:41Try this,
QUESTION
I'm trying to fit a Quadratic-plateau model to agricultural data. In particular, it's Nitrogen fertilization and corn yield response to it. It's a common practice in research.
It's very common to do it using R, like in this following example- https://gradcylinder.org/quad-plateau/
but it lacks examples and resources when it comes to python. I've managed to find a great library, called eonr (https://eonr.readthedocs.io/en/latest/) that does what I'm looking for (and much more) but i need more flexibility and more options for visualization.
Through the eonr gallery I found the function it uses and the parameters for the fitting done by scipy.curve_fit.
...ANSWER
Answered 2021-May-06 at 10:28As so often, the problem comes down to (already mentioned by Christian K. in a comment) starting values. It should work with some easy guesses, though. On top we can simplify our lives by choosing a different representation of the parabola, namely y = y0 + a * ( x - x0 )**2
. This allows us directly to see the position of the extremum and the value it has at this point. The important point is to make sure that the position of the extremum is within data range or on the right of it. If it would be on the left, the function just gives a flat line in the data range. So in the Levenberg-Marquardt of curve_fit
the derivatives wrt a
and x0
have no effect. Only y0
is fitted to the rms.
The final code looks like
QUESTION
I want to output some sentences when the user presses the wrong button and then exit using tkinter module (like says "idiot" or something) when they answer a question wrong and exit the process. However, command=lambda:
only support only one action and the python interpreter will output an error when I add multiple lines. Is there any way to perform two or more actions for the windows made by tkinter?
This is part of the codes and I want the codes to output the self.correspondingBehavior part and then exit.
ANSWER
Answered 2021-Apr-27 at 05:49You can give more than one command (you can call more than one function) in command attribute using lambda. For this, you can use a list.
For example, command=lambda:[root2.destroy(), next_step()]
This would first destroy and exit the root2 window. And then also call next_step() function.
QUESTION
I'm trying to make a quiz with JavaScript and html. The user is asked to enter an answer of a question in a prompt field, the users answer and the right answer is sent to a function that compares them. If the answer subtracted with the right answer equals zero, the function will return a Point. If that isn't true the function won't return a point. If the answer from the user is anything other than 1-3 the function alerts of an invalid input. Everything here works however I want to add a feature that makes the code ask the same question again if the users answer is invalid, in other Words not 1-3. I've tried using while loops but can't get that to work. Any suggestions to how I could solve this and/or any other tips to make the code more structured.
...ANSWER
Answered 2021-Apr-19 at 21:05Replace some of your code with the following function.
QUESTION
I am processing netCDF data for multiple years. The netCDF is for air pollutant data, and the latitude and longitude are provided as separate variables, not as part of the original grid.
LINK TO DATE: Sample Netcdf
These netCDF files provide Level 2 Nitrogen Dioxide data and they are downloaded from NASA Earthdata portal. The satellite is Sentinel-5P and the instrument is TROPOMI.
So when processing this data, you have to create variables for NO2, latitude and longitude. I am trying to create raster layers, and then save them as GeoTIFF files for my research.
The problem here is related to the fact that I don't know how best to create these rasters. The latitude and longitude is not equally spaced throughout the dataset, and I haven't figured out a way to accurately create these images. I created a model grid using the number of rows and columns provided by the netCDF files. In the list of variables this is called the scanline and ground_pixel, but when I plot it the cells in the final image don't look right.
This is how I upload the data:
...ANSWER
Answered 2021-Mar-22 at 17:17With the example file
QUESTION
I'm still quite a beginner and my friend (who's not answering so far) provided me a code for downloading a genomic sequence from Ensembl.org and writing it to a *.csv file using dictionaries. Unluckily, the file contains only one column and 89870 rows, I'm not sure how to fix it. It would ease my work with counting because it acts weird when doing plots. I don't know where could be a mistake. Here's the code:
...ANSWER
Answered 2021-Mar-22 at 17:48The script you have is creating a TAB delimited output file, not a comma separated one. If you remove the delimiter='\t'
parameter, it will default to a comma.
Secondly, you appear to be getting extra blank rows. These are removed by adding the newline=''
parameter when opening the output file. This is specified in the documentation.
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