aorta | Traffic simulator especially for autonomous vehicles | Robotics library
kandi X-RAY | aorta Summary
kandi X-RAY | aorta Summary
Approximately Orchestrated Routing & Transportation Analyzer (AORTA).
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QUESTION
Here is my sample data and code:
...ANSWER
Answered 2021-Apr-09 at 09:41My second question:
If I can move the class label to x axis bottom after the every bar labels. I know it can be top.
I solved it.There is parameter in theme can be used to change the location of this label:
QUESTION
Here is my sample data and code. I wanna add two wards in specific location just as the picture shows below.
...ANSWER
Answered 2021-Apr-11 at 12:38I found a better way to add text outside plot region.
just like this:
QUESTION
Here is my code and sample data:
I wanna all of the bars have the same width. Now it's not so.
...ANSWER
Answered 2021-Apr-10 at 11:09Here is now the solution: @teunbrand: Sorry for this but I really got nervous after you commented my first answer. I just messed up something. After checking facet_nested
I come to this solution:
Just add space = "free_x"
to facet_nested
QUESTION
Here is my sample data and code:
Now I wanna adjust the blank region to different colors. And I used the ggh4x package () and its vital function: facet_nested(.~Organ+Disease, scales="free",switch = "x",nest_line = TRUE)
...ANSWER
Answered 2021-Apr-10 at 10:00There is no nice function to do this, but you can manually change the colours of the strips if you want to get your hands dirty with some gtable
QUESTION
I have get a plot using ggplot2 and ggh4x package. What worried me is the plot should be plot by grouping information but now it doesn't because I used the ggh4x package to add more labels on x aixs.
So I wanna know if there is a method to change the space between bars according the grouping information.
My sample data and code here:
...ANSWER
Answered 2021-Apr-01 at 11:53Here is a try using your data
QUESTION
I am attempting to make two scatter plots with ggplot2, which will have different groupings, but I would like the colors of the factors/groups to stay the same in both plots. The code below produces different colors depending on the order.
...ANSWER
Answered 2020-Jan-25 at 00:31If you don't label the colors manually then ggplot will use its default scheme, which changes as the number of factors changes. One option is to set up separate label schemes with equivalent colors for overlapping types:
QUESTION
I have a large data set of genes and tissues of 3000 rows and 53 columns .
when i try to create a heatmap using pheatmap
in R for small number of columns it is successful.
but when i try to add the annotation_col
and row with color bar to heatmap, I get errors.
"Error in annotation_colors[[colnames(annotation)[i]]] : subscript out of bounds"
Any help will be appreciated.
...ANSWER
Answered 2019-Aug-30 at 22:36You need to define the same row names for top
and anno
:
QUESTION
I have a pandas data frame read from a csv. It has mixed data types, strings and floats (can be integers; it doesn't matter which for my data processing).
When I am trying to access the rows of integers, however, I am getting a string return rather than a list of floats. Even the '[' at the ends are counted as strings!
I am trying to read my data in the most efficient way possible. My specific task is to run through the list of transcription factors (should be a list of strings in row 3) for each tissue (entries along the top horizontal row), to perform an API call with this string. I also ned to subtract the corresponding value in the list of floats or integers in row 2 from row 1. At the moment, I have been trying to convert the string to the list I need, but there must be a more efficient way to do this.
Code:
...ANSWER
Answered 2019-Aug-02 at 19:46I came up with a solution facilitating easier access to your data.
For demonstration purpose, I took a fragment of your source file (title and just 2 columns, with limited length of included lists):
QUESTION
I have a key and a massive metadata table. There's a column in the metadata table which contains values such as the following:
...ANSWER
Answered 2019-Jan-22 at 21:54Here is a solution:
QUESTION
I have asked about the same question, but still have some problem with this topic.
Suppose I have the dataset A like:
...ANSWER
Answered 2018-Oct-11 at 06:56Using the data posted here, and remaining in the dplyr
world, you can apply a distinct
function:
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