4 examples of 'numpy to csv' in Python

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def csv_to_numpy(string_like, dtype=None):  # type: (str or unicode) -> np.array
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    """Convert a CSV object to a numpy array.
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    Args:
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        string_like (str): CSV string.
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        dtype (dtype, optional):  Data type of the resulting array. If None, the dtypes will be determined by the
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                                        contents of each column, individually. This argument can only be used to
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                                        'upcast' the array.  For downcasting, use the .astype(t) method.
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    Returns:
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        (np.array): numpy array
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    """
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    stream = StringIO(string_like)
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    return np.genfromtxt(stream, dtype=dtype, delimiter=',')

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def save2csv(traces):
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  to_csv = []
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  for scenario_name, tracer in traces.iteritems():
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    tmp = {'scenario_name': scenario_name,
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           'first_depletion': tracer['first_depletion'][2][0],
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           '30per_depletion': tracer['30per_depletion'][2][0]}
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    for trace_name, trace in tracer.iteritems():
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      if not trace[4]:
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        continue
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      values = np.array(trace[2])
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      mean   = np.nanmean(values)
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      stdev  = np.nanstd(values)
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      tmp[trace_name+ ' (mean)']  = mean
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      tmp[trace_name+ ' (stdev)'] = stdev
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    to_csv.append(tmp)
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  df = pd.DataFrame(to_csv)
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  dir_path = cf.RESULTS_PATH + time.strftime("%Y-%m-%d_%H:%M:%S") + '/'
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  os.makedirs(dir_path)
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  df.to_csv(dir_path + 'results_summary.csv')

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def ToCsv(self,name='FileName.csv', DataToWrite=[
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    ["First", "Second", "Third"], ]):
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    #Write DataResult to CSV file
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    with open(name, 'w', newline='') as fp:
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        a = csv.writer(fp, delimiter=',')
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        a.writerows(DataToWrite)

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def to_csv(self, file_name, sep=',', encoding=None):
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    start = time.time()
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    init = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
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    self._data.to_csv(file_name, sep, encoding)
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    finish = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
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    self._last_operation_dict['time'] = time.time() - start
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    self._last_operation_dict['name'] = 'to_csv'
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    self._last_operation_dict['mem_usage'] = finish - init