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Sequential Neural Processes
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Top functions reviewed by kandi - BETA
- Train the model .
- Configure the argument parser .
- Generate random temporal series .
- Get a scene dataset .
- Process a single component .
- Generate random image shapes .
- Plot all functions in 1d .
- Evaluate the model .
- Collects the output of each device .
- Construct a tensorgrid that truncates input image
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QUESTION
In df1
I have columns for Line, Generation, ID, and Sex.
I want to count matching occurrences in df2
of the remaining columns for each row.
The desired result would look like:
Line A, Generation 2020A, has a total of
1
row for row['A','A','A','A']
indf2
.Line B, Generation 2020B, has a total of
2
rows for row['A','C','T','G']
indf2
.
df1
df2
ANSWER
Answered 2022-Apr-16 at 05:14You can use merge
and then do value_counts
to achieve this.
QUESTION
random_df
...ANSWER
Answered 2022-Apr-14 at 19:10IIUC, you can use seaborn.lineplot
:
QUESTION
ANSWER
Answered 2022-Mar-20 at 20:10You can use data.table to melt the data into long format, and identify which Samples have allele2 for each SNP:
QUESTION
I have a column with specific gene locations in my data frame. It either has the single location (in case of a SNP) or it has a range for the locations (in case of Deletion, Duplication).
I want to split the Gene_Locations column into two columns: Start_Position, Stop Position. Where it has a range, this is easy enough to do. But where there is only one value, I want it to retain the original value in the Gene_Location column, in both the Start_position and Stop_position columns. The second bit has not been easy to do as it it keeps coming up with NA, or a blank whitespace. I'd be grateful for help with this.
This is my expected column:
GeneLocation Start_Position Stop_Position 123456 123456 123456 123456 - 123457 123456 123457 122345 - 122346 122345 122346 134567 134567 134567 123456 123456 123456This is my actual column:
GeneLocation Start_Position Stop_Position 123456 123456 NA 123456 - 123457 123456 123457 122345 - 122346 122345 122346 134567 134567 NA 123456 123456 NA ...ANSWER
Answered 2022-Mar-17 at 17:02coalesce
is perfect for this use case!
Here is solution with an ifelse
statement.
QUESTION
I have two files.
File 1:
...ANSWER
Answered 2022-Feb-06 at 16:47You may use this awk
:
QUESTION
I am trying to reformat the reference legend files to make them compatible with bcftools.
Essentially, I need to go from this:
...ANSWER
Answered 2022-Feb-03 at 04:28If sed
is an option:
QUESTION
I have this df1
:
ANSWER
Answered 2022-Feb-03 at 00:15You can first right merge
on "SNP", then use np.where
to evaluate the condition. Then fill NaN values with the corresponding values. Finally drop the columns with missing values and rearrange to fit the desired outcome:
QUESTION
I have a data frame that looks like this
...ANSWER
Answered 2022-Feb-02 at 11:10You can do:
QUESTION
I use UIView as alert view in my app, and i want to show it as banner on top of screen, when device is not connected to internet. So my issue that this view appears under my nav bar, how can i bring it to front ? I've tried to us UIApplication.shared.keyWindow! and add my backgroundView as subview to it, but it causes other issues.
This is my alert view class: I'll provide all class, but my realisation is in show() method.
...ANSWER
Answered 2022-Jan-17 at 11:06Since you have a navigation controller and do not wish to add this view to the window directly, I can offer the following idea which could work.
Your UIViewController is contained with the UINavigationController so if you add the alert to your UIViewController, you will notice it below the UINavigationBar.
You could instead show the alert from your UINavigationController instead with the following changes.
1.
In the func show(viewController: UIViewController)
in your class ConnectionAlertView: UIView
I changed the following line:
QUESTION
I have a VCF file with SNP IDs like this:
...ANSWER
Answered 2022-Jan-10 at 13:39Here, *
is used as a quantifier, not as any text pattern.
You can use .*
to match any text between AX
and rightmost _rs
(since it is the only _rs
in your contents, it is fine to use):
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