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1
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""" |
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2
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DataInput - class to handle data storing to disk (from Pandas Data Frame |
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3
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""" |
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4
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5
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6
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class DataInput: |
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7
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8
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@staticmethod |
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9
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def fn_internal_store_data_frame_to_csv_file(in_dict): |
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10
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if in_dict['format'].lower() == 'csv': |
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11
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try: |
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12
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in_dict['in data frame'].to_csv(path_or_buf = in_dict['name'], |
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13
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sep = in_dict['field delimiter'], |
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14
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header = True, |
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15
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index = False, |
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16
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encoding = 'utf-8') |
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17
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except Exception as err: |
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18
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in_dict['error details'] = err |
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19
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return in_dict |
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20
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21
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@staticmethod |
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22
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def fn_internal_store_data_frame_to_excel_file(in_dict): |
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23
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if in_dict['format'].lower() == 'excel': |
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24
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try: |
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25
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in_dict['in data frame'].to_excel(excel_writer = in_dict['name'], |
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26
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engine = 'xlsxwriter', |
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27
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freeze_panes = (1, 1), |
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28
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encoding = 'utf-8', |
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29
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index = False, |
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30
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verbose = True) |
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31
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except Exception as err: |
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32
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in_dict['error details'] = err |
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33
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return in_dict |
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34
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35
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@staticmethod |
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36
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def fn_internal_store_data_frame_to_json_file(in_dict): |
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37
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if in_dict['format'].lower() == 'json': |
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38
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try: |
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39
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in_dict['in data frame'].to_json(path_or_buf = in_dict['name'], |
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40
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compression = in_dict['compression']) |
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41
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except Exception as err: |
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42
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in_dict['error details'] = err |
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43
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return in_dict |
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44
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45
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@staticmethod |
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46
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def fn_internal_store_data_frame_to_parquet_file(in_dict): |
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47
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if in_dict['format'].lower() == 'parquet': |
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48
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try: |
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49
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in_dict['in data frame'].to_parquet(path = in_dict['name'], |
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50
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compression = in_dict['compression'], |
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51
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use_deprecated_int96_timestamps = True) |
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52
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except Exception as err: |
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53
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in_dict['error details'] = err |
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54
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return in_dict |
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55
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56
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@staticmethod |
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57
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def fn_internal_store_data_frame_to_pickle_file(in_dict): |
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58
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if in_dict['format'].lower() == 'pickle': |
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59
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try: |
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60
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in_dict['in data frame'].to_pickle(path = in_dict['name'], |
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61
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compression = in_dict['compression']) |
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62
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except Exception as err: |
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63
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in_dict['error details'] = err |
|
64
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return in_dict |
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65
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danielgp /
db-extractor
