lnd | Lightning Network Daemon ⚡️ | Blockchain library

 by   lightningnetwork Go Version: v0.16.3-beta License: MIT

kandi X-RAY | lnd Summary

kandi X-RAY | lnd Summary

lnd is a Go library typically used in Blockchain, Bitcoin applications. lnd has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Lightning Network Daemon ️

            kandi-support Support

              lnd has a medium active ecosystem.
              It has 6954 star(s) with 1932 fork(s). There are 334 watchers for this library.
              There were 10 major release(s) in the last 12 months.
              There are 477 open issues and 3128 have been closed. On average issues are closed in 104 days. There are 164 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of lnd is v0.16.3-beta

            kandi-Quality Quality

              lnd has no bugs reported.

            kandi-Security Security

              lnd has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              lnd is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              lnd releases are available to install and integrate.
              Installation instructions are available. Examples and code snippets are not available.

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            lnd Key Features

            No Key Features are available at this moment for lnd.

            lnd Examples and Code Snippets

            No Code Snippets are available at this moment for lnd.

            Community Discussions


            SQL - How to create flags for numbers
            Asked 2021-Apr-30 at 14:52

            My data set looks like below



            Answered 2021-Apr-30 at 14:17

            If I understand correctly , you wanna flag them based on the Timediff:

            Source https://stackoverflow.com/questions/67335318


            Find similar times in 2 variables
            Asked 2021-Apr-29 at 12:30

            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.



            Answered 2021-Apr-29 at 12:30

            You can use row_number():

            Source https://stackoverflow.com/questions/67317385


            Deleting groups of countries from World Development Index Data
            Asked 2020-Sep-24 at 17:54

            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!



            Answered 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:

            Source https://stackoverflow.com/questions/64051379


            Pandas indexing and calculating over rows efficiency ideas vectorizing code
            Asked 2020-Jun-12 at 19:08

            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.



            Answered 2020-Jun-12 at 19:08

            I believe what you're looking for is the following:

            Source https://stackoverflow.com/questions/62350367


            Difficulties in reordering legend labels in ggplot
            Asked 2020-Jun-12 at 12:59

            Question: how to relevel/reorder the legend? Preferably, I would like a solution in dplyr.

            I have

            I would like the legend to go 1 year, 3 years and 5 years.

            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?



            Answered 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.

            Source https://stackoverflow.com/questions/62344467


            Calling Cursor Value into Exception
            Asked 2020-Jun-08 at 11:57

            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



            Answered 2020-Jun-08 at 11:57

            If you are still doing

            Source https://stackoverflow.com/questions/62260081


            Pandas loc error due to missing labels in csv file
            Asked 2020-May-03 at 09:11

            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():



            Answered 2020-May-03 at 09:11


            How to change path using re.sub in string keeping the same file name with extension
            Asked 2020-May-01 at 00:50

            I am trying to change some paths using re.sub, here is what I have tried:



            Answered 2020-May-01 at 00:50


            com.univocity.parsers.common.TextParsingException: Length of parsed input (1000001) exceeds the maximum number of character
            Asked 2020-Apr-09 at 11:25

            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:




            Answered 2020-Apr-09 at 11:25

            I fixed the issue using below option:

            In Some File I am using quote=''

            Source https://stackoverflow.com/questions/61075301


            How to manually specify legend text/color in this ggplot composed of several different geoms?
            Asked 2020-Mar-21 at 22:27

            Please, find my data sample ndd below.

            Question: how can I add a customized legend to this ggplot composed of different geoms?

            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 c("#E1B930", "#2C77BF","#E38072","#6DBCC3").

            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: c("#2C77BF","#E38072","#6DBCC3").

            To me, the tricky part is that the four groups in the legend should have the color order as described: c("#E1B930", "#2C77BF","#E38072","#6DBCC3")

            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.



            Answered 2020-Mar-21 at 22:27

            Here a possible solution to create your legend of interest.

            Basically, I add a group to your approx and 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.

            Source https://stackoverflow.com/questions/60792762

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


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