Hi, i've two files (file1, file2) i want to take value (in column1) and search in file2 if the they match print the value from file2.
this is what i have so far.
awk 'FILENAME=="file1"{ arr=$1 }
FILENAME=="file2"
{print $0}
' file1 file2 (2 Replies)
Hi people,
I have 2 files, one with a list of non consecutive ranges (File1.txt), where each range begins with the value in column 1
and finishes with the value in column 2 in the same line, as can be seen above.
215312581156279 215312581166279
215312582342558 215312582357758... (4 Replies)
I have read another post about this issue and am wondering how to adapt it
to my own, much simpler, issue.
I have a file of user IDs like so:
333333
321321
546465
...etc
I need to take each number and use it to print records wherein the 5th
field matches the user ID pulled from the... (2 Replies)
Hello,
I have two data files:
file1
12345 aa bbb cccc
98765 qq www uuuu
76543 pp rrr bbbbb
34567 nn ccc sssss
87654 qq ppp rrrrr
file2
98765
34567
I need to remove the lines from file1 if the first field contains a value that appears in file2:
output
12345 aa bbb cccc
76543 pp... (2 Replies)
- I have two files (File 1 and File 2) and the contents of the files are mentioned below.
- I am trying to compare the values of Column1 of File1 with Column1 of File2. If a match is found, print the corresponding value from Column2 of File1 in Column5 of File2.
- I tried to modify and use... (10 Replies)
I am trying to use awk to find all the $2 values in file2 which is ~30MB and tab-delimited, that are between $2 and $3 in file1 which is ~2GB and tab-delimited.
I have just found out that I need to use $1 and $2 and $3 from file1 and $1 and $2of file2 must match $1 of file1 and be in the range... (6 Replies)
I have two files which are the output of a multiple choice vocab test (60 separate questions) from 104 people (there are some missing responses) and the question list. I have the item list in one file (File1)
Item,Stimulus,Choice1,Choice2,Choice3,Choice4,Correct... (5 Replies)
File2 is tab-delimeted and I am trying to use $2 in file1 (space delimeted) as a search term in file2. If it is found then the AF= in and the FDP= values from file2 are extracted and printed next to the file1 line. I commented the awk before I added the lines in bold the current output resulted. I... (7 Replies)
Discussion started by: cmccabe
7 Replies
LEARN ABOUT DEBIAN
numm.spectral-analysis
spectral-analysis(7) Numm Tutorials spectral-analysis(7)NAME
spectral analysis - perform realtime spectral analysis
SYNOPSIS
numm-run FILE
DESCRIPTION
Frequency makes for a meaningful description of many audio signals. We can use numpy's fourier analysis to compute spectra from the micro-
phone and display the results visually. We will break down the process into smaller parts: baby steps...
First, create and save a skeletal file that moves a line across the screen:
idx = 0
def video_out(a):
global idx
a[:,idx] = 255
idx = (idx + 1) % a.shape[1]
def audio_in(a):
pass
Save this snippet and run it with numm-run.
We will use the numpy.fft module for our analysis. First we define a function to get a particular frequency from the fourier transform:
import numpy as np
def get_freq(fourier, frequency):
freqs = np.fft.fftfreq(len(fourier), 1/44100.0)
nearest = (abs(freqs - frequency)).argmin()
return abs(fourier[nearest])
Next, we hook up this function to audio input from the microphone. A frequency bin is chosen on a log scale for each row on the screen to
display a spectogram. In total:
import numpy as np
idx = 0
recent_audio = np.zeros(4096, np.int16)
recent_video = np.zeros((240,320,3), np.uint8)
freq_bins = np.exp2(np.linspace(np.log2(27000),np.log2(27),240))
def get_freq(fourier, frequency):
freqs = np.fft.fftfreq(len(fourier), 1/44100.0)
nearest = (abs(freqs - frequency)).argmin()
return abs(fourier[nearest])
def video_out(a):
global idx
fourier=np.fft.fft(recent_audio)
values =np.array([get_freq(fourier,X) for X in freq_bins])
recent_video[:,idx,1] = (values/10000).clip(0,255)
idx = (idx + 1) % a.shape[1]
a[:] = np.roll(recent_video, -idx, axis=1)
def audio_in(a):
recent_audio[:] = np.roll(recent_audio, len(a))
recent_audio[:len(a)] = a.mean(axis=1)
SEE ALSO numm-run(1), numm.getting-started(7), numm.one-bit-instrument(7)numm February 2012 spectral-analysis(7)