width_delay_beam_experiment/analysis_script.py
def batch_analyze(data_path):
    '''
    Analyzes all the preferred files using the DataAnalysis.py module in the
    directory given by data_path.

    assumes:
    - the data files are comma separated files with time and voltage data in
      columns 3 and 4 respectively.

    arguments:
    - data_path(string): the relative or absolute path to the directory where
                         the files are stored (note in windows you need \\
                         instead of \ so that python can see it as a backslash)

    returns:
    - analyzed_batch(list): a list of Analyzer objects, ready to be plotted.
    '''
    analyzed_batch = []
    for filename in os.listdir(data_path):
        if 'inu' in filename:
            waveform = DataAnalysis.Waveform()
            waveform.load(data_path, filename)
            waveform.clean()
            analyzed_waveform = DataAnalysis.Analyzer(waveform)
            analyzed_waveform.calculate_envelope()
            analyzed_waveform.calculate_bunchArea_diff()
            analyzed_waveform.calculate_P()
            analyzed_batch.append(analyzed_waveform)
    return analyzed_batch

    Analyzes all the preferred files using the DataAnalysis.py module in the
    directory given by data_path.

    assumes:
    - the data files are comma separated files with time and voltage data in
      columns 3 and 4 respectively.

    arguments:
    - data_path(string): the relative or absolute path to the directory where
                         the files are stored (note in windows you need \\
                         instead of \ so that python can see it as a backslash)

    returns:
    - analyzed_batch(list): a list of Analyzer objects, ready to be plotted.
    
Analyzes all the preferred files using the DataAnalysis.py module in the
directory given by data_path.

the data files are comma separated files with time and voltage data in
columns 3 and 4 respectively.

the relative or absolute path to the directory where
the files are stored (note in windows you need
instead of \ so that python can see it as a backslash)

a list of Analyzer objects, ready to be plotted.
Analyzes all the preferred files using the DataAnalysis . py module in the directory given by data_path . the data files are comma separated files with time and voltage data in columns 3 and 4 respectively . the relative or absolute path to the directory where the files are stored ( note in windows you need instead of \ so that python can see it as a backslash ) a list of Analyzer objects ready to be plotted .
def batch_analyze(data_path):
    analyzed_batch = []
    for filename in os.listdir(data_path):
        if 'inu' in filename:
            waveform = DataAnalysis.Waveform()
            waveform.load(data_path, filename)
            waveform.clean()
            analyzed_waveform = DataAnalysis.Analyzer(waveform)
            analyzed_waveform.calculate_envelope()
            analyzed_waveform.calculate_bunchArea_diff()
            analyzed_waveform.calculate_P()
            analyzed_batch.append(analyzed_waveform)
    return analyzed_batch
def batch_analyze ( data_path ) : analyzed_batch = [ ] for filename in os . listdir ( data_path ) : if 'inu' in filename : waveform = DataAnalysis . Waveform ( ) waveform . load ( data_path , filename ) waveform . clean ( ) analyzed_waveform = DataAnalysis . Analyzer ( waveform ) analyzed_waveform . calculate_envelope ( ) analyzed_waveform . calculate_bunchArea_diff ( ) analyzed_waveform . calculate_P ( ) analyzed_batch . append ( analyzed_waveform ) return analyzed_batch
Analyzes all the preferred files using the DataAnalysis.py module in the
directory given by data_path.
Analyzes all the preferred files using the DataAnalysis . py module in the directory given by data_path .
'''
    Analyzes all the preferred files using the DataAnalysis.py module in the
    directory given by data_path.

    assumes:
    - the data files are comma separated files with time and voltage data in
      columns 3 and 4 respectively.

    arguments:
    - data_path(string): the relative or absolute path to the directory where
                         the files are stored (note in windows you need \\
                         instead of \ so that python can see it as a backslash)

    returns:
    - analyzed_batch(list): a list of Analyzer objects, ready to be plotted.
    '''
data_path