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Sur d’autres sites (10105)

  • Capturing terminal output into pandas dataframe without creating external text file

    4 septembre 2024, par tavalendo

    I am using ffmpeg's extract_mvs file to generate some text information. I would use a command like this in the terminal :

    



    /extract_mvs input.mp4 > output.txt


    



    I would like to use this command with Popen or other subprocess in python such that instead of output.txt, the data is passed straight to a pandas data frame without actually generating the text file.

    



    The idea is to automate this multiple times, so, I am trying to avoid many .txt files from being generated and thus having to open() them one by one.

    



    I thought of something like this :

    



    import subprocess
cmd = ['./extract_mvs', 'input.mp4']
a = subprocess.Popen(cmd, stdout=subprocess.PIPE)
df = pd.read_csv(a.communicate()[0], sep=',')


    



    But then I get an error : OSError: Expected file path name or file-like object, got <class> type</class>

    &#xA;&#xA;

    Can it be fixed and extended so as to read straight from subprocess to pandas ?

    &#xA;

  • grep on a running terminal buffer

    25 décembre 2013, par killer

    I did ffmpeg -i file.mp4 -y file.mp3 2>&1 | grep "time=" , but it seems that grep shows output only on completion of ffmpeg command, so how could i grep here ,I will later need to save this value of time in a variable every second

  • Terminal output text into pandas dataframe without creating external file

    23 février 2018, par helmo

    I am using ffmpeg’s extract_mvs file to generate some text information. I would use a command like this in the terminal :

    /extract_mvs input.mp4 > output.txt

    I would like to use this command with Popen or other subprocess in python such that instead of output.txt, the data is passed straight to a pandas data frame without actually generating the text file.

    The idea is to automate this multiple times, so, I am trying to avoid many .txt files from being generated and thus having to open() them one by one.

    I thought of something like this :

    import subprocess
    
cmd = ['./extract_mvs', 'input.mp4']
    
a = subprocess.Popen(cmd, stdout=subprocess.PIPE)
    
df = pd.read_csv(a.communicate()[0], sep=',')

    But then I get an error : OSError: Expected file path name or file-like object, got <class> type</class>

    Can it be fixed and extended so as to read straight from subprocess to pandas ?

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