frequency

Is there another way in numpy to realize scipy.stats.mode function to get the most frequent values in ndarrays along axis?(without importing other modules) i.e. import numpy as np from scipy.stats import mode a = np.array([[[ 0, 1, 2, 3, 4], [ 5, 6, 7, 8, 9], [10, 11, 12, 13, 14], [15, 16, 17, 18, 19]], [[ 0, 1, 2, 3, 4], [ 5, 6, 7, 8, 9], [10, 11, 12, 13, 14], [15, 16, 17, 18, 19]], [[40, 40, 42, 43, 44], [45, 46, 47, 48, 49], [50, 51, 52, 53, 54], [55, 56, 57, 58, 59]]]) mode= mode(data, axis=0) mode = mode[0] print mode >>>[ 0, 1, 2, 3, 4], [ 5, 6, 7, 8, 9], [10, 11, 12, 13, 14], [15, 16,

I have one input file which has one paragraph. I need to find the frequency of particular word in that paragraph. cat file: Text Index train is good 1 let the train come 5 train is best 3 i m great 3 what is best 2 Code: input<-read.table("file",sep="\t",header=TRUE) paragraph1<-input[1][1] word<-"train" I need to find frequency of word "train" in paragraph1. How can i get it using R? If you gave a little more info I could probably provide more info in return. Using qdap you could: library(qdap) dat <- readLines(n=5) train is good 1 let the train come 5 train is best 3 i m great 3 what is best

I've a dataset that denotes the list of authors of many technical reports. Each report can be authored by one or multiple people: a = [ ['John', 'Mark', 'Jennifer'], ['John'], ['Joe', 'Mark'], ['John', 'Anna', 'Jennifer'], ['Jennifer', 'John', 'Mark'] ] I've to find the most frequent pairs, that is, people that had most collaborations in the past: ['John', 'Jennifer'] - 3 times ['John', 'Mark'] - 2 times ['Mark', 'Jennifer'] - 2 times etc... How to do this in Python? Padraic Cunningham Use a collections.Counter dict with itertools.combinations : from collections import Counter from itertools

I have a column of firm names in an R dataframe that goes something like this: "ABC Industries" "ABC Enterprises" "123 and 456 Corporation" "XYZ Company" And so on. I'm trying to generate frequency tables of every word that appears in this column, so for example, something like this: Industries 10 Corporation 31 Enterprise 40 ABC 30 XYZ 40 I'm relatively new to R , so I was wondering of a good way to approach this. Should I be splitting the strings and placing every distinct word into a new column? Is there a way to split up a multi-word row into multiple rows with one word? If you wanted to,

The following piece of code was given to us from our instructor so we could measure some algorithms performance: #include <stdio.h> #include <unistd.h> static unsigned cyc_hi = 0, cyc_lo = 0; static void access_counter(unsigned *hi, unsigned *lo) { asm("rdtsc; movl %%edx,%0; movl %%eax,%1" : "=r" (*hi), "=r" (*lo) : /* No input */ : "%edx", "%eax"); } void start_counter() { access_counter(&cyc_hi, &cyc_lo); } double get_counter() { unsigned ncyc_hi, ncyc_lo, hi, lo, borrow; double result; access_counter(&ncyc_hi, &ncyc_lo); lo = ncyc_lo - cyc_lo; borrow = lo > ncyc_lo; hi = ncyc_hi - cyc_hi -

I know that there are a lot of similar questions to this, I am still unable to figure out the answer. Let's say we have time signal in MATLAB: t=0:1/44100:1 and a cosine signal with frequency 500Hz: x=cos(2*pi*500*t); Now, I am trying to plot the magnitude spectrum obtained using the fft command on signal x FFT=abs(fft(x)) plot(FFT) According to the theory, we should get two peaks in the plot, one at -500 Hz and the other at 500Hz. What I don't understand is that I do get two peaks but I can't figure out at what frequencies these peaks are. I know there is a way to figure out the frequency

I noticed that frequency tables created by data.table in R seem not to distinguish between very small numbers and zero? Can I change this behavior or is this a bug? Reproducible example: >library(data.table) DT <- data.table(c(0.0000000000000000000000000001,2,9999,0)) test1 <- as.data.frame(unique(DT[,V1])) test2 <- DT[, .N, by = V1] As you can see, the frequency table (test2) will not recognize the differences between 0.0000000000000000000000000001 and 0 and put both observations in the same class. Data.table version: 1.8.10 R: 3.02 mnel It is worth reading R FAQ 7.31 and thinking about the