Merge lists of complex dicts with arbitrary keys

I have this code: dotteds = [“apple.orange.banana”, “a.b.c”, “a.b.d”] name = “name” avtype = “type” fields = “fields” main_dictionary_list = [] for x in dotteds: split_name = x.split(‘.’) if len(split_name) > 1: value = {name: split_name[-1], avtype: ‘string’} dicts = [] for y in split_name: dicts.append({name: y, avtype: {name: y, avtype: “record”, fields: []}}) dicts[-1]…

Details

Appending rows to a dataframe

I want to achieve the below for a spark a dataframe. I want to keep appending new rows to a dataframe as shown in the below example. for(a<- value) { val num = a val count = a+10 //creating a df with the above values// val data = Seq((num.asInstanceOf[Double], count.asInstanceOf[Double])) val row = spark.sparkContext.parallelize(data).toDF(“Number”,”count”) val…

Details

Can gstreamer fbdevsink output to Xvfb virtual framebuffer? Which device to use?

I learned recently how to use Xvfb virtual Linux framebuffer: https://www.raspberrypi.org/forums/viewtopic.php?f=66&t=261264 I want gstreamer fbdevsink output into a virtual framebuffer, but that needs a device specified. But virtual framebuffers do not have /dev/fbX links. So is output of fbdevsink to virtual framebuffer possible? If so, how? Xvfb option “-fbdir /var/tmp” option allows for read access…

Details