tair | A distributed key-value storage system developed by Alibaba Group | Architecture library

I have a netcdf file containing maximum daily air temperature, time, lat and lon. I successfully got maximum temperature from a netcdf of 6 hourly temperatures using the nco command:

ncra -y max --mro -d time,,,4,4 6hourly.nc max.nc"

The only problem is, my time steps are still split into quarter days:

variables:

well, I have 2 lists (names and bilananu2017) names contains the names of companies and bilananu2017 contain a pdf of each company there is some missing links the problem is that names length is 80 and bilananu2017 length is 75 i want both lists to be the same length so I can make a data frame. I have this idea of adding a string "null" in bilananu2017 for each missing link basically ill compare each company name with all the link if there a link that contains the campany name then append the link in a new list if not append("null") so at the end ill have a new list with the length of names where there is null for each missing link i tried this code

This is my data (just some sample data from xarray) and a contour plot is made. However I want to make my own colorbar and not use xarray's embedded colorbar. How do I make xarray do that?

I would like to follow-up on a question answered by @r2evans: Interpolation in R: retrieving hourly values. I am trying to re-aggregate 3-hr data into hourly. If I use the following small reproducible dataset ("tair"):

I am new to R and Shiny so please forgive my ignorance. I have a large data set (184,171 observations and 10 variables) as a tibble. I am trying to create a Shiny app that uses this data table. The user selects a gauge, then a variable to analyze, a range of years, and then whether they want the variable aggregated annually or monthly. Based on the inputs, it will create 3 plots and a location map for the selected gauge, along with summary statistics. I have no problems when running my user interface portion. I know the problems lie in my server. I want to know if I am using the reactive Values() and observe Event correctly.

The original data set is shinydata and I am trying to make a reactive data table that filters based on user inputs. My errors include:

Displays in the leaflet output box no applicable method for metaData applied to an object of class reactive Expr, reactive, function

Displays in the summary stats box data must be 2-dimensional (e.g. data frame or matrix) -> This I know is because I need to use a text output instead of data table for the summary stats

Displays in the box and time series plot outputs object annual1 not found

I have been struggling with this for 3 days and searching the web for answers. Any insight would be greatly appreciated!

I'm stuck on this issue whilst trying to build a project using typescript with react. Here are the error messages from typescript.

I am using rpy2 to use a R library in Python. The library has a function prebas() that returns an array in which the item with index [8] is the output. When I write this output to CSV within the R code snippet, everything works as expected (the output is a CSV over 200kB). However, when I return the same object (PREBASout[8]), it returns an empty object. So, obviously, when I write that object to CSV, the file is empty.

First of all thank you for reading this, and thank you in advance if you can help. This is the algorithm that I´m using for supervised learning:

I have two data frames. One has rows for every five minutes in a day:

df