kandi X-RAY | lnd Summary
kandi X-RAY | lnd Summary
Lightning Network Daemon ️
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Trending Discussions on lnd
My data set looks like below...
ANSWERAnswered 2021-Apr-30 at 14:17
If I understand correctly , you wanna flag them based on the Timediff:
My data set looks like below. What I want to find is the first time that ContactedAt happened after LookedAt. So Pol1 would be row 1 and Pol2 would be row 4....
ANSWERAnswered 2021-Apr-29 at 12:30
You can use
I am brand new to R. I am using the World Development Index Dataset and am trying to remove all region rows such as Sub-Saharan Africa (IDA & IBRD countries) or Middle East & North Africa (IDA & IBRD countries). I want to create a dataframe with the countries only. Thank you!...
ANSWERAnswered 2020-Sep-24 at 17:41
Welcome to Stack Overflow NelCap.
To solve your problem you have to realize that the
iso2c of regions are composed of a character and a number, while the
iso2c of countries are composed only of characters. Therefore, you have to track all the
iso2c containing at least one number and remove these rows, as follows:
I am somewhat new to pandas and feel like there should be a more effective way to get the difference of the min year and max year, so change, for each country without iterating over each country like I am doing. I would like to vectorize the code. Maybe it's just the way the dataset is organized but I have been struggling to find a vectorized solution.
Does anyone have an efficient idea of how to run this without iterating over countries like I am doing? I feel like there should be a way to do this. I added a sample of the dataset below my code sample....
ANSWERAnswered 2020-Jun-12 at 19:08
I believe what you're looking for is the following:
Question: how to relevel/reorder the legend? Preferably, I would like a solution in
I would like the legend to go
3 years and
I tried adding
ggplot(df %>% mutate(name = factor(name, levels = c("y_et", "y_tre", "y_fem)), (...); however, that led to a completely different plot.
Why would such approach not work?...
ANSWERAnswered 2020-Jun-12 at 12:59
You need to add
guide=guide_legend(reverse=TRUE) to the "scale_colour_manual" and "scale_fill_manual" statement. This addition will change the order of the legend but without changing the order of the factors.
I have a cursor as part of a package, which compares the counts of 2 tables. If the counts match, rest of the package executes. But if it fails, it should update the counts in a log table. The cursor code is...
ANSWERAnswered 2020-Jun-08 at 11:57
If you are still doing
I'm looking at the Choropleth tutorial here.
When I tried to run it I got the following error for line
df = df.ix[iso3_codes].dropna():
ANSWERAnswered 2020-May-03 at 09:11
I am trying to change some paths using
re.sub, here is what I have tried:
ANSWERAnswered 2020-May-01 at 00:50
Use a capture group:
I am trying to run pyspark script but getting the above error. I used option("maxCharsPerCol","1100000") but not able to fix the issue.
Can you please help me how to resolve this issue? Pyspark version - 2.0.0
I am using below code while reading and writing the file:
ANSWERAnswered 2020-Apr-09 at 11:25
I fixed the issue using below option:
In Some File I am using
Please, find my data sample
Question: how can I add a customized legend to this ggplot composed of different
I have tried approaching as described in this thread, but wihtout luck.
I have produced this plot:
However, no matter what I try, I cannot manually change the legend. I have tried
show.legend=FALSE and adding "an extra" fake color in
geom_area, which did not work or, at least, I did it wrong.
I would like the legend to look like this:
The color order correspond to
Obviously, I tried specifying that in
cols. However, it then changes the color order in
geom_area to start with
"#E1B930" (the orange). The one
geom_point with color placed at
geom_point(x=0,y=18.3) should have
"#E1B930" (the orange), as currently in the picture/code, whereas
geom_area comes in this color order:
To me, the tricky part is that the four groups in the legend should have the color order as described:
Please, feel free to improve or optimize my script. I am completely new to
tidyverse and I am eager to learn.
Thank you in advance....
ANSWERAnswered 2020-Mar-21 at 22:27
Here a possible solution to create your legend of interest.
Basically, I add a group to your
cut functions in order to generate 4 groups instead of 3. Then, using
scale_fill_manual, it is much easier to get the desired legend.
In order to avoid the repetition of
geom_segment, I generate a dataframe that will hold coordinates for each segment based on each groups.
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