kandi X-RAY | lab Summary
kandi X-RAY | lab Summary
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I am doing this graph with this code...
ANSWERAnswered 2021-Jun-16 at 02:58
We can calculate the labels that we want to display and use it in
I have this code which prints multiple tables...
ANSWERAnswered 2021-Jun-15 at 20:59
So, this is a good opportunity to use
purrr::map. You are half way there by applying code to one dataframe.
You can take the code that you have written above and put it into a function.
The spreadsheet is not exactly how my data looks like but i am using it just as an example. My original list has 4 datasets but the spreadsheet has 3 datasets.
Essentially i have some characters(A,B,C,D) and i want to find the proportions of times each character occurs in each column of 3 groups of datasets.(Check video, its hard to explain by typing it out)...
ANSWERAnswered 2021-Jun-09 at 19:00
We can loop over the
list 'l' with
lapply, then get the
table for each of the columns by looping over the columns with
sapply after converting the column to
levels specified as 'u', get the
transpose, convert to
as.data.frame), split by row (
asplit - MARGIN = 1), then use
purrr to change the structure so that each column from all the
list elements will be blocked as a single unit, bind them with
How do I best execute memory-intensive pipelines in Apache Beam?
I tested the pipeline using DirectRunner with a small subset of images (4 or 5) and it worked fine.
When running the pipeline with a bigger data set (day 1 of 3, ~21GB) it crashes after a while with a non-descriptive
I do see a memory peak before the crash and assume that the process is killed because of a too high memory load.
I ran the pipeline through
strace. These are the last lines in the trace:
ANSWERAnswered 2021-Jun-15 at 13:51
Multiple things could cause this behaviour, because the pipeline runs fine with less Data, analysing what has changed could lead us to a resolution.Option 1 : clean your input data
The third line of the logs you provide might indicate that you're processing unclean data in your bigger pipeline
mmap(NULL, could mean that
| "Get Content" >> beam.Map(lambda x: x.read_utf8()) is trying to read a null value.
Is there an empty file somewhere ? Are your files utf8 encoded ?Option 2 : use smaller files as input
I'm guessing using the
fileio.ReadMatches() will try to load into memory the whole file, if your file is bigger than your memory, this could lead to errors. Can you split your data into smaller files ?
If files are too big for your current machine with a
DirectRunner you could try to use an on-demand infrastructure using another runner on the Cloud such as
I got an order from school so I've tried to make them. This is my code:...
ANSWERAnswered 2021-Jun-14 at 15:11
Your code has an error in it, which is the use of
break statements within the
else clauses. If you remove the
breaks, it should work.
break statements can only be used within
while loops and
switch statements. You can't use them (and don't need them) in
If you click "run code snippet" on your example, it shows the error message
I need to make 5 plots of bacteria species. Each plot has a different number of species present in a range of 30-90. I want each bacteria to always have the same color in all plots, therefore I need to set an assigned color to each name. I tried to use scale_colour_manual to create a color set but, the environment created has only 16 colors. How can I increase the number of colors present in the environment created?
the code I am using can be replicated as follow:...
ANSWERAnswered 2021-Apr-26 at 12:59
When you know all your 90 bacci names in front of plotting, you can try.
i'm new to R and shiny and also new to this forum.
I need to build a shiny app but struggle to connect the inputs with my imported data.
This is what i have so far:...
ANSWERAnswered 2021-Jun-13 at 21:19
Tidyverse solution: You use your inputs to filter the dataset, right before plotting it. Therefore you need to get the data in long format with
Afterwards you can filter here:
I have stumbled upon a problem, where I can change all the text in a biplot image to the another font, with the exception of labels.
Code that I used is also attached. I cannot find the solution to this issue, hopefully someone can help....
ANSWERAnswered 2021-Jun-13 at 16:31
You have to add the
font.family argument to
I have two PheWAS plots, and the number of categories (x axis, 20 categories) is the same in case of both. I would like to put them on the same plot, mirroring one of them on the y axis, but leaving the x axis titles in the middle.
ANSWERAnswered 2021-Jun-13 at 12:48
Flipping the 2nd plot
To achieve this, we need to add two functions:
scale_y_reverse: This will flip the
yaxis; 0 is at the top, 10 at the bottom.
scale_x_discrete(position = top): This will put the x-axis at the top.
Fixing the y-axis limits
It would be best to keep the same y-axis limits for both plots, to make them comparable. As such, we have to supply
ylim() to the first plot. For the second plot, we already have
scale_y_reverse, so we can supply our limits there.
Fixing the x labels
Since you only want the labels to appear once, you'd have to use
theme(axis.title.x) in the 2nd plot. Similarly, I would remove the x-axis title in the first plot to keep it balanced.
Combining the plots
Now, you want to combine the plots. However, the first plot has a lot of information on the x-axis, while the second plot doesn't. This means they have different heights. I like to use
cowplot::plot_grid for combining plots, because it allows you to set the relative height of the plots. In this case, we can use it to account for the height difference between the two plots.
I have the following dataframes:...
ANSWERAnswered 2021-Jun-12 at 16:08
You can specify the legend shape using
key_glyph and then manually specify the shape by
type the same way you have done for
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