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PlotMe | Plot and protection plugin for Minecraft with Bukkit | Plugin library

 by   ZachBora Java Version: Current License: GPL-3.0

 by   ZachBora Java Version: Current License: GPL-3.0

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kandi X-RAY | PlotMe Summary

PlotMe is a Java library typically used in Plugin, Minecraft applications. PlotMe has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.
Plot and protection plugin for Minecraft with Bukkit.
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kandi-support Support

  • PlotMe has a low active ecosystem.
  • It has 20 star(s) with 33 fork(s). There are 6 watchers for this library.
  • It had no major release in the last 12 months.
  • PlotMe has no issues reported. There are 1 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of PlotMe is current.
PlotMe Support
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Average in #Plugin
PlotMe Support
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Average in #Plugin

quality kandi Quality

  • PlotMe has 0 bugs and 0 code smells.
PlotMe Quality
Best in #Plugin
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PlotMe Quality
Best in #Plugin
Average in #Plugin

securitySecurity

  • PlotMe has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • PlotMe code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
PlotMe Security
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PlotMe Security
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license License

  • PlotMe is licensed under the GPL-3.0 License. This license is Strong Copyleft.
  • Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
PlotMe License
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PlotMe License
Best in #Plugin
Average in #Plugin

buildReuse

  • PlotMe releases are not available. You will need to build from source code and install.
  • Build file is available. You can build the component from source.
  • PlotMe saves you 4510 person hours of effort in developing the same functionality from scratch.
  • It has 9539 lines of code, 326 functions and 23 files.
  • It has high code complexity. Code complexity directly impacts maintainability of the code.
PlotMe Reuse
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PlotMe Reuse
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Top functions reviewed by kandi - BETA

kandi has reviewed PlotMe and discovered the below as its top functions. This is intended to give you an instant insight into PlotMe implemented functionality, and help decide if they suit your requirements.

  • Used to update the charts
    • show help menu
      • Load captions .
        • Generate the ext block sections .
          • Get the ID for a given location
            • Unzip a file .
              • the main loop
                • Checks if the player is allowed by the user
                  • Populate the path
                    • Handles a resize event .

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      PlotMe Key Features

                      Plot and protection plugin for Minecraft with Bukkit

                      matplotlib - annotation line not match start and end point exactly

                      copy iconCopydownload iconDownload
                      arrowprops=dict(arrowstyle='|-|',color='r',shrinkA=0,shrinkB=0)
                      

                      How to "group" a legend in ggplot

                      copy iconCopydownload iconDownload
                      library(RColorBrewer)
                      library(maptools)
                      library(tidyverse)
                      
                      ddf <- ddf %>%
                        mutate(value = ifelse(value > 5, 5, value))
                      
                      # Vector of labels
                      labels <- ddf %>%
                        group_by(value) %>%
                        arrange(country) %>%
                        summarise(label = paste(country, collapse = "\n")) %>%
                        ungroup() %>%
                        mutate(label = paste(value, label, sep = ":\n")) %>%
                        deframe()
                      
                      # Vector of colors
                      cols <- ddf %>%
                        distinct(value, color) %>%
                        deframe()
                      
                      # Get maximum length of country label to set width of legend
                      max_len_country <- max(strwidth(ddf$country, units = "inches"))
                      
                      ggplot() +
                        geom_map(data = wrld, map = wrld, aes(map_id = id, x = long, y = lat), fill = "white", color = "#7f7f7f", size = 0.15) +
                        geom_map(data = ddf, map = wrld, aes(map_id = country, fill = factor(value)), color = "#7f7f7f", size = 0.15) +
                        scale_fill_manual(
                          values = cols, labels = labels, name = "Interactions",
                          guide = guide_legend(label.position = "bottom", title.position = "top", keywidth = unit(max_len_country, "inches"), byrow = TRUE, nrow = 1)
                        ) +
                        coord_map() +
                        labs(x = "", y = "") +
                        theme(
                          plot.background = element_rect(fill = "transparent", colour = NA),
                          panel.border = element_blank(),
                          panel.background = element_rect(fill = "transparent", colour = NA),
                          panel.grid = element_blank(),
                          axis.text = element_blank(),
                          axis.ticks = element_blank(),
                          legend.position = "bottom"
                        )
                      #> Warning: Ignoring unknown aesthetics: x, y
                      

                      Dynamic multiple plots, how can I call them one at a time?

                      copy iconCopydownload iconDownload
                      my_plots$Sepal_Width <- my_plots$Sepal_Width + labs(subtitle = "Some additional information")
                      
                      library(shiny)
                      library(dplyr)
                      library(ggplot2)
                      
                      data("iris")
                      myIris <- iris
                      
                      names(myIris) <- gsub("\\.", "_", names(myIris))
                      plotnames <- setdiff(names(myIris), 'Species')
                      
                      ui <- fluidPage(
                        titlePanel("Multiple Graph Loop in Server, Display only 1 graph in UI"),
                        lapply(plotnames, plotOutput)
                      )
                      
                      server <- function(input, output) {
                        my_plots <- list()
                        for (plotname in plotnames){
                          my_plots[[plotname]] <- ggplot(myIris %>% select(c(plotname, "Species")), aes_string(plotname, "Species")) +
                            geom_boxplot() +
                            ggtitle(plotname)
                        }
                        
                        # some adaptions for a single plot
                        my_plots$Sepal_Width <- my_plots$Sepal_Width + labs(subtitle = "Some additional information")
                        
                        for (i in seq_along(my_plots)){
                          local({
                            my_i <- i
                            output[[plotnames[my_i]]] <- renderPlot(width = 600, height = 400, {
                              my_plots[[my_i]]
                            })
                          })
                        }
                      }
                      
                      shinyApp(ui = ui, server = server)
                      
                      my_plots$Sepal_Width <- my_plots$Sepal_Width + labs(subtitle = "Some additional information")
                      
                      library(shiny)
                      library(dplyr)
                      library(ggplot2)
                      
                      data("iris")
                      myIris <- iris
                      
                      names(myIris) <- gsub("\\.", "_", names(myIris))
                      plotnames <- setdiff(names(myIris), 'Species')
                      
                      ui <- fluidPage(
                        titlePanel("Multiple Graph Loop in Server, Display only 1 graph in UI"),
                        lapply(plotnames, plotOutput)
                      )
                      
                      server <- function(input, output) {
                        my_plots <- list()
                        for (plotname in plotnames){
                          my_plots[[plotname]] <- ggplot(myIris %>% select(c(plotname, "Species")), aes_string(plotname, "Species")) +
                            geom_boxplot() +
                            ggtitle(plotname)
                        }
                        
                        # some adaptions for a single plot
                        my_plots$Sepal_Width <- my_plots$Sepal_Width + labs(subtitle = "Some additional information")
                        
                        for (i in seq_along(my_plots)){
                          local({
                            my_i <- i
                            output[[plotnames[my_i]]] <- renderPlot(width = 600, height = 400, {
                              my_plots[[my_i]]
                            })
                          })
                        }
                      }
                      
                      shinyApp(ui = ui, server = server)
                      

                      Community Discussions

                      Trending Discussions on PlotMe
                      • This single line &quot;import seaborn as sns&quot; dumps a dataframe to standard out?
                      • matplotlib - annotation line not match start and end point exactly
                      • How to &quot;group&quot; a legend in ggplot
                      • Dynamic multiple plots, how can I call them one at a time?
                      Trending Discussions on PlotMe

                      QUESTION

                      This single line &quot;import seaborn as sns&quot; dumps a dataframe to standard out?

                      Asked 2021-Jun-06 at 19:27

                      This is literally the only command I'm running:

                      import seaborn as sns
                      

                      When I run that single line of code the computer prints out a dataframe from a previous program:

                      # MEAN
                      A12    42.297308
                      A1     42.044986
                      A6     42.966379
                      Name: MEAN, dtype: float64
                      

                      As well as an error

                      Traceback (most recent call last):
                        File "<stdin>", line 1, in <module>
                        File "PLOTS/seaborn.py", line 40, in <module>
                          sns.barplot(x = 'X', y = 'Y', data = plotMe)
                      AttributeError: module 'seaborn' has no attribute 'barplot'
                      

                      It's like it's running another script on the computer that I wrote. I've rebooted my computer multiple times. Powered off and unplugged it for a while... etc. The same thing happens when I either run it as an interactive shell:

                      python
                      >>> import seaborn as sns
                      

                      or put that single line in a script and run it that way.

                      python test.py

                      Any clue what's going on? I'm running Python 3.6.9

                      ANSWER

                      Answered 2021-Jun-06 at 19:27

                      It's like it's running another script on the computer that I wrote

                      It is running another script you (probably) wrote. It's running PLOTS/seaborn.py. When you import a package or modules, Python searches a range of places of that module (the search paths are stored in sys.path). The first place it looks is the current working directory. Importing a script executes it, hence what you see is the result of PLOTS/seaborn.py.

                      For this reason, it is a good idea not to save files with the same names as packages you want to import! Just rename or move PLOTS/seaborn.py and you should be fine.

                      Source https://stackoverflow.com/questions/67862812

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

                      Vulnerabilities

                      No vulnerabilities reported

                      Install PlotMe

                      You can download it from GitHub.
                      You can use PlotMe like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the PlotMe component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

                      Support

                      For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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