plots | Minecraft plots server written using Dragonfly | Game Engine library
kandi X-RAY | plots Summary
kandi X-RAY | plots Summary
Plots is a Plots server implementation written using Dragonfly. It may be compiled with Go 1.13 or up.
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Top functions reviewed by kandi - BETA
- Main entry point for testing .
- readConfig reads the TOML configuration file
- generateRandomColour returns a random colour from an existing plot .
- PosFromBlockPos returns the position corresponding to the given block position .
- OpenDB opens the database at the given directory .
- NewPlayerHandler creates a new PlayerHandler for a player .
- NewGenerator creates a new Generator
- Hash returns the hash of the position .
- LookupHandler looks up a player handler for a given player
- NewWorldHandler returns a new WorldHandler .
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Community Discussions
Trending Discussions on plots
QUESTION
I have basically this very odd type of data frame:
The first column is the name of the States (say I have 3 states), the second to the last column (say I have 5 columns) contains some values recorded at different dates (not continuous). I want to create a graph that plots the values for each State on the range of the dates that starts from the earliest and end in the latest dates (continuous).
The table looks like this:
state 2020-01-01 2020-01-05 2020-01-06 2020-01-10 AZ NA 0.078 -0.06 NA AK 0.09 NA NA 0.10 MS 0.19 0.21 NA 0.38"NA" means there is not data.
How do I produce this graph in which the x axis is from 2020-01-01 to 2020-01-10 (continuous), the y axis contains the changing values (as points) of the three States, each state occupies its separate (segmented) y-axis?
Thank you.
...ANSWER
Answered 2021-Jun-16 at 03:41You can get the data into a long format, which makes it easier to plot. R will make it difficult to read column names that start with a number. While reading the data, ensure that you have check.names = FALSE so that column names are read as is.
QUESTION
I am having issues with the plt.scatter() function. The error message says 'Type Error: unhashable type: 'numpy.ndarray''I want this code to create a scatter plot of the x and y dataframes. The two dataframes are the same size (88,2) when I enter a sample unit into the code.
...ANSWER
Answered 2021-Jun-15 at 18:02Based on Matplotlib documentation here the inputs for plt.scatter() are:
x, yfloat or array-like, shape (n, ) The data positions.
But in your code what you're passing to the scatter function are two pd.DataFrame. So the first column are the names but the second columns are where the values stored:
QUESTION
I have this code which prints multiple tables
...ANSWER
Answered 2021-Jun-15 at 20:59So, 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.
QUESTION
So... I can sympy.integrate a normal distribution with mean and standard deviation:
ANSWER
Answered 2021-Jun-15 at 01:38Here's a close case that works:
QUESTION
I am trying to create scatter plots of all the combinations for the columns: insulin, sspg, glucose (mclust, diabetes dataset, in R) with class as the colo(u)r. By that I mean insulin with sspg, insulin with glucose and sspg with glucose.
And I would like to do that with tidyverse, purrr, mappings and pipe operations. I can't quite get it to work, since I'm relatively new to R and functional programming.
When I load the data I've got the columns: class, glucose, insulin and sspg. I also used pivot_longer to get the columns: attr and value but I was not able to plot it and don't know how to create the combinations.
I assume that there will be an iwalk() or map2() function at the end and that I might have to use group_by() and nest() and maybe combn(., m=2) for the combinations or something like that. But it will probably have some way simpler solution that I can not see myself.
My attempts have amounted to this:
...ANSWER
Answered 2021-Jun-15 at 17:34library(mclust)
#> Package 'mclust' version 5.4.7
#> Type 'citation("mclust")' for citing this R package in publications.
library(tidyverse)
data("diabetes")
QUESTION
I have a data frame with the name of the objects, the values of each one, and another column with the type of the object ('A', 'B', 'C'). Something like that (I can't put here my data because the data frame is too large, but this example may help)
NameId Value Type 1 243394 A 2 7494 B 3 243394 C 4 243394 A 5 2437794 B 6 243 C 7 65654 CI want to plot the boxplot of all the objects (this means A, B and C together), and the objects of the type 'A' and 'B'. Three boxplots in total. But doing :
ggplot(data, aes(x=type, y= values))+ geom_boxplot()
I get the boxplots of the types A, B, and C, obviously, but what I want is have a boxplot with all the objects, another with the objects type A and another with the object type B.
And when I try to do it in another way I get the error:
...ANSWER
Answered 2021-Jun-15 at 14:37Using the iris data set as an example.
Iris contains three Species: setosa versicolor virginica.
To solve your question, we need to use the dataset twice.
First, with the Species name renamed "All Species" using mutate.
And second, with the Species 'setosa' excluded through filter.
Then we use union function to merge the two data sets (the "all data", and the data excluding one group).
QUESTION
Say I had 6 plots I wanted to arrange into a subplot setup in the usual way (plt.subplots etc.).
However for visualisation reasons I need them arranged in the following way:
...ANSWER
Answered 2021-Jun-15 at 12:38Use Figure.add_gridspec and Figure.add_subplot
QUESTION
Following script is a combination of RSI and Higher High and Lower Low script. The issue is that the HH LL labels are aligned for the price not on the RSI Line. How to align the labels to the RSI line? It is basically showing the Higher Highs and Lower Lows of RSI. The labels need to stick on to the respective RSI line.
...ANSWER
Answered 2021-Jun-15 at 09:25Changed the location.belowbar and location.abovebar with location.absolute and the plotshapes display (ex: if _hl is true, plot at the RSI level, otherwise pass)
QUESTION
Sorting data from huge lists with two levels of keys is helpful for interpreting dataset and calling by couple or one level of keys some slice of data, especially when creating plots.
I use a very naive and, I guess, inefficient way to create from a 2D-list of data a dict of dicts (two levels of keys) that returns a list of data. How to make this code more elegant, possibly faster and more readable? I guess using collection module but I didn't find a smart way.
Example:
...ANSWER
Answered 2021-Jun-15 at 07:35from itertools import groupby
first=lambda l: l[0]
def group_by_first(listo):
grouped = groupby(sorted(listo,key=first), key=first) # group by first elem, need to sort first
return {k: [e[1:] for e in g] for k,g in grouped} # remove key (first elem) from values
{k: group_by_first(l) for k,l in group_by_first(listo).items()} # group first elem and then by second
QUESTION
I'm trying to save and load state of a shiny app using bookmarks. However, it doesn't work and I wonder whether it is because of inserting dynamic UI. If there are other ways to save and load dynamically rendered ui and resulting output, that would be great too. I don't know where to start and this is as far as I could come.
Simple example
...ANSWER
Answered 2021-Jun-15 at 06:17edit: Found another solution emulating what insertUI does but with renderUI:
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