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""" |
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2
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DataOutput - class to handle disk file storage |
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""" |
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# package facilitating Data Frames manipulation |
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import pandas |
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7
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8
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class DataOutput: |
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10
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@staticmethod |
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def fn_internal_load_csv_file_into_data_frame(in_dict): |
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if in_dict['format'].lower() == 'csv': |
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try: |
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in_dict['out data frame'] = pandas.concat( |
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[pandas.read_csv(filepath_or_buffer = crt_file, |
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delimiter = in_dict['field delimiter'], |
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cache_dates = True, |
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index_col = None, |
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memory_map = True, |
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low_memory = False, |
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encoding = 'utf-8', |
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) for crt_file in in_dict['files list']], |
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sort = False) |
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except Exception as err: |
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in_dict['error details'] = err |
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return in_dict |
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@staticmethod |
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def fn_internal_load_excel_file_into_data_frame(in_dict): |
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if in_dict['format'].lower() == 'excel': |
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try: |
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in_dict['out data frame'] = pandas.concat( |
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[pandas.read_excel(io = crt_file, |
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verbose = True, |
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) for crt_file in in_dict['files list']], |
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sort = False) |
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except Exception as err: |
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in_dict['error details'] = err |
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return in_dict |
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@staticmethod |
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def fn_internal_load_json_file_into_data_frame(in_dict): |
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if in_dict['format'].lower() == 'json': |
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try: |
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in_dict['out data frame'] = pandas.concat( |
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[pandas.read_json(path_or_buf = crt_file, |
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compression = in_dict['compression'], |
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) for crt_file in in_dict['files list']], |
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sort = False) |
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except Exception as err: |
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in_dict['error details'] = err |
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return in_dict |
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54
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@staticmethod |
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def fn_internal_load_parquet_file_into_data_frame(in_dict): |
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if in_dict['format'].lower() == 'parquet': |
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try: |
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in_dict['out data frame'] = pandas.concat( |
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[pandas.read_parquet(path = crt_file, |
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) for crt_file in in_dict['files list']], |
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sort = False) |
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except Exception as err: |
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in_dict['error details'] = err |
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return in_dict |
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66
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@staticmethod |
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67
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def fn_internal_load_pickle_file_into_data_frame(in_dict): |
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if in_dict['format'].lower() == 'pickle': |
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try: |
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in_dict['out data frame'] = pandas.concat( |
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[pandas.read_pickle(path = crt_file, |
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compression = in_dict['compression'], |
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) for crt_file in in_dict['files list']], |
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sort = False) |
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except Exception as err: |
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in_dict['error details'] = err |
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return in_dict |
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danielgp /
db-extractor
