MyEMS /
myems
| Conditions | 45 |
| Total Lines | 468 |
| Code Lines | 341 |
| Lines | 0 |
| Ratio | 0 % |
| Changes | 0 | ||
Small methods make your code easier to understand, in particular if combined with a good name. Besides, if your method is small, finding a good name is usually much easier.
For example, if you find yourself adding comments to a method's body, this is usually a good sign to extract the commented part to a new method, and use the comment as a starting point when coming up with a good name for this new method.
Commonly applied refactorings include:
If many parameters/temporary variables are present:
Complex classes like excelexporters.equipmentload.generate_excel() often do a lot of different things. To break such a class down, we need to identify a cohesive component within that class. A common approach to find such a component is to look for fields/methods that share the same prefixes, or suffixes.
Once you have determined the fields that belong together, you can apply the Extract Class refactoring. If the component makes sense as a sub-class, Extract Subclass is also a candidate, and is often faster.
| 1 | import base64 |
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| 62 | def generate_excel(report, |
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| 63 | name, |
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| 64 | reporting_start_datetime_local, |
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| 65 | reporting_end_datetime_local, |
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| 66 | period_type): |
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| 67 | wb = Workbook() |
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| 68 | ws = wb.active |
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| 69 | ws.title = "EquipmentLoad" |
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| 70 | |||
| 71 | # Row height |
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| 72 | ws.row_dimensions[1].height = 102 |
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| 73 | |||
| 74 | for i in range(2, 2000 + 1): |
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| 75 | ws.row_dimensions[i].height = 42 |
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| 76 | |||
| 77 | # Col width |
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| 78 | ws.column_dimensions['A'].width = 1.5 |
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| 79 | ws.column_dimensions['B'].width = 25.0 |
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| 80 | |||
| 81 | for i in range(ord('C'), ord('L')): |
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| 82 | ws.column_dimensions[chr(i)].width = 15.0 |
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| 83 | |||
| 84 | # Font |
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| 85 | name_font = Font(name='Arial', size=15, bold=True) |
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| 86 | title_font = Font(name='Arial', size=15, bold=True) |
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| 87 | |||
| 88 | table_fill = PatternFill(fill_type='solid', fgColor='1F497D') |
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| 89 | f_border = Border(left=Side(border_style='medium', color='00000000'), |
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| 90 | right=Side(border_style='medium', color='00000000'), |
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| 91 | bottom=Side(border_style='medium', color='00000000'), |
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| 92 | top=Side(border_style='medium', color='00000000') |
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| 93 | ) |
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| 94 | b_border = Border(bottom=Side(border_style='medium', color='00000000'), ) |
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| 95 | |||
| 96 | b_c_alignment = Alignment(vertical='bottom', |
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| 97 | horizontal='center', |
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| 98 | text_rotation=0, |
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| 99 | wrap_text=True, |
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| 100 | shrink_to_fit=False, |
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| 101 | indent=0) |
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| 102 | c_c_alignment = Alignment(vertical='center', |
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| 103 | horizontal='center', |
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| 104 | text_rotation=0, |
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| 105 | wrap_text=True, |
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| 106 | shrink_to_fit=False, |
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| 107 | indent=0) |
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| 108 | b_r_alignment = Alignment(vertical='bottom', |
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| 109 | horizontal='right', |
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| 110 | text_rotation=0, |
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| 111 | wrap_text=True, |
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| 112 | shrink_to_fit=False, |
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| 113 | indent=0) |
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| 114 | |||
| 115 | # Img |
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| 116 | img = Image("excelexporters/myems.png") |
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| 117 | ws.add_image(img, 'A1') |
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| 118 | |||
| 119 | # Title |
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| 120 | ws['B3'].alignment = b_r_alignment |
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| 121 | ws['B3'] = 'Name:' |
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| 122 | ws['C3'].border = b_border |
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| 123 | ws['C3'].alignment = b_c_alignment |
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| 124 | ws['C3'] = name |
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| 125 | |||
| 126 | ws['D3'].alignment = b_r_alignment |
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| 127 | ws['D3'] = 'Period:' |
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| 128 | ws['E3'].border = b_border |
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| 129 | ws['E3'].alignment = b_c_alignment |
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| 130 | ws['E3'] = period_type |
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| 131 | |||
| 132 | ws['B4'].alignment = b_r_alignment |
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| 133 | ws['B4'] = 'Reporting Start Datetime:' |
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| 134 | ws['C4'].border = b_border |
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| 135 | ws['C4'].alignment = b_c_alignment |
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| 136 | ws['C4'] = reporting_start_datetime_local |
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| 137 | |||
| 138 | ws['D4'].alignment = b_r_alignment |
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| 139 | ws['D4'] = 'Reporting End Datetime:' |
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| 140 | ws['E4'].border = b_border |
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| 141 | ws['E4'].alignment = b_c_alignment |
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| 142 | ws['E4'] = reporting_end_datetime_local |
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| 143 | |||
| 144 | if "reporting_period" not in report.keys() or \ |
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| 145 | "names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0: |
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| 146 | filename = str(uuid.uuid4()) + '.xlsx' |
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| 147 | wb.save(filename) |
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| 148 | |||
| 149 | return filename |
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| 150 | #################################################################################################################### |
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| 151 | # First: Statistics |
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| 152 | # 6: title |
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| 153 | # 7: table title |
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| 154 | # 8~2*ca_len table_data |
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| 155 | #################################################################################################################### |
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| 156 | reporting_period_data = report['reporting_period'] |
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| 157 | |||
| 158 | if "names" not in reporting_period_data.keys() or \ |
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| 159 | reporting_period_data['names'] is None or \ |
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| 160 | len(reporting_period_data['names']) == 0: |
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| 161 | filename = str(uuid.uuid4()) + '.xlsx' |
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| 162 | wb.save(filename) |
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| 163 | return filename |
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| 164 | |||
| 165 | ws['B6'].font = title_font |
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| 166 | ws['B6'] = name + ' ' + 'Statistics' |
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| 167 | |||
| 168 | category = reporting_period_data['names'] |
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| 169 | |||
| 170 | # table_title |
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| 171 | ws['B7'].fill = table_fill |
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| 172 | ws['B7'].font = title_font |
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| 173 | ws['B7'].alignment = c_c_alignment |
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| 174 | ws['B7'] = 'Reporting Period' |
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| 175 | ws['B7'].border = f_border |
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| 176 | |||
| 177 | ws['C7'].font = title_font |
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| 178 | ws['C7'].alignment = c_c_alignment |
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| 179 | ws['C7'] = 'Average Load' |
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| 180 | ws['C7'].border = f_border |
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| 181 | |||
| 182 | ws['D7'].font = title_font |
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| 183 | ws['D7'].alignment = c_c_alignment |
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| 184 | ws['D7'] = 'Maximum Load' |
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| 185 | ws['D7'].border = f_border |
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| 186 | |||
| 187 | ws['E7'].font = title_font |
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| 188 | ws['E7'].alignment = c_c_alignment |
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| 189 | ws['E7'] = 'Load Factor' |
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| 190 | ws['E7'].border = f_border |
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| 191 | |||
| 192 | # table_data |
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| 193 | |||
| 194 | for i, value in enumerate(category): |
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| 195 | row = i * 2 + 8 |
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| 196 | ws['B' + str(row)].font = name_font |
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| 197 | ws['B' + str(row)].alignment = c_c_alignment |
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| 198 | ws['B' + str(row)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + "/H )" |
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| 199 | ws['B' + str(row)].border = f_border |
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| 200 | |||
| 201 | ws['B' + str(row + 1)].font = name_font |
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| 202 | ws['B' + str(row + 1)].alignment = c_c_alignment |
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| 203 | ws['B' + str(row + 1)] = 'Increment Rate' |
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| 204 | ws['B' + str(row + 1)].border = f_border |
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| 205 | |||
| 206 | ws['C' + str(row)].font = name_font |
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| 207 | ws['C' + str(row)].alignment = c_c_alignment |
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| 208 | ws['C' + str(row)] = round(reporting_period_data['averages'][i], 2) \ |
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| 209 | if reporting_period_data['averages'][i] is not None else '' |
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| 210 | ws['C' + str(row)].border = f_border |
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| 211 | ws['C' + str(row)].number_format = '0.00' |
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| 212 | |||
| 213 | ws['C' + str(row + 1)].font = name_font |
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| 214 | ws['C' + str(row + 1)].alignment = c_c_alignment |
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| 215 | ws['C' + str(row + 1)] = str(round(reporting_period_data['averages_increment_rate'][i] * 100, 2)) + "%" \ |
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| 216 | if reporting_period_data['averages_increment_rate'][i] is not None else '0.00%' |
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| 217 | ws['C' + str(row + 1)].border = f_border |
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| 218 | |||
| 219 | ws['D' + str(row)].font = name_font |
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| 220 | ws['D' + str(row)].alignment = c_c_alignment |
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| 221 | ws['D' + str(row)] = round(reporting_period_data['maximums'][i], 2) \ |
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| 222 | if reporting_period_data['maximums'][i] is not None else '' |
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| 223 | ws['D' + str(row)].border = f_border |
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| 224 | ws['D' + str(row)].number_format = '0.00' |
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| 225 | |||
| 226 | ws['D' + str(row + 1)].font = name_font |
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| 227 | ws['D' + str(row + 1)].alignment = c_c_alignment |
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| 228 | ws['D' + str(row + 1)] = str(round(reporting_period_data['maximums_increment_rate'][i] * 100, 2)) + "%" \ |
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| 229 | if reporting_period_data['maximums_increment_rate'][i] is not None else '0.00%' |
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| 230 | ws['D' + str(row + 1)].border = f_border |
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| 231 | |||
| 232 | ws['E' + str(row)].font = name_font |
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| 233 | ws['E' + str(row)].alignment = c_c_alignment |
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| 234 | ws['E' + str(row)] = round(reporting_period_data['factors'][i], 2) \ |
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| 235 | if reporting_period_data['factors'][i] is not None else '' |
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| 236 | ws['E' + str(row)].border = f_border |
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| 237 | ws['E' + str(row)].number_format = '0.00' |
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| 238 | |||
| 239 | ws['E' + str(row + 1)].font = name_font |
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| 240 | ws['E' + str(row + 1)].alignment = c_c_alignment |
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| 241 | ws['E' + str(row + 1)] = str(round(reporting_period_data['factors_increment_rate'][i] * 100, 2)) + "%" \ |
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| 242 | if reporting_period_data['factors_increment_rate'][i] is not None else '0.00%' |
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| 243 | ws['E' + str(row + 1)].border = f_border |
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| 244 | |||
| 245 | #################################################################################################################### |
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| 246 | # Third: Detailed Data |
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| 247 | # row_sat~ row_sat + 6*cal_len: line |
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| 248 | # row_da: table title |
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| 249 | # row_da + 1~: table_data |
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| 250 | #################################################################################################################### |
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| 251 | if "timestamps" not in reporting_period_data.keys() or \ |
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| 252 | reporting_period_data['timestamps'] is None or \ |
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| 253 | len(reporting_period_data['timestamps']) == 0: |
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| 254 | pass |
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| 255 | else: |
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| 256 | timestamps = reporting_period_data['timestamps'][0] |
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| 257 | names = reporting_period_data['names'] |
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| 258 | ca_len = len(names) |
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| 259 | real_timestamps_len = timestamps_data_not_equal_0(report['parameters']['timestamps']) |
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| 260 | time_len = len(timestamps) |
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| 261 | # row_lines == the number of rows of lines |
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| 262 | row_lines = 6 * ca_len |
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| 263 | # row_sat == the number of rows of statistical analysis table |
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| 264 | row_sat = 9 + 2 * ca_len |
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| 265 | # row_da == the number of rows of Detailed data |
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| 266 | row_da = row_sat + row_lines + real_timestamps_len * 7 + 2 |
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| 267 | |||
| 268 | ws['B' + str(row_da)].font = title_font |
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| 269 | ws['B' + str(row_da)] = name + ' ' + 'Detailed Data' |
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| 270 | # table_title |
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| 271 | ws['B' + str(row_da + 1)].fill = table_fill |
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| 272 | ws['B' + str(row_da + 1)].font = name_font |
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| 273 | ws['B' + str(row_da + 1)].alignment = c_c_alignment |
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| 274 | ws['B' + str(row_da + 1)] = "Datetime" |
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| 275 | ws['B' + str(row_da + 1)].border = f_border |
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| 276 | |||
| 277 | for i in range(0, ca_len): |
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| 278 | col_average = chr(ord('C') + 2 * i) |
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| 279 | col_maximum = chr(ord('D') + 2 * i) |
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| 280 | |||
| 281 | ws[col_average + str(row_da + 1)].font = name_font |
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| 282 | ws[col_average + str(row_da + 1)].alignment = c_c_alignment |
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| 283 | ws[col_average + str(row_da + 1)] = names[i] + " Average Load(" + reporting_period_data['units'][ |
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| 284 | i] + "/H)" |
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| 285 | ws[col_average + str(row_da + 1)].border = f_border |
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| 286 | |||
| 287 | ws[col_maximum + str(row_da + 1)].font = name_font |
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| 288 | ws[col_maximum + str(row_da + 1)].alignment = c_c_alignment |
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| 289 | ws[col_maximum + str(row_da + 1)] = names[i] + " Maximum Load(" + reporting_period_data['units'][ |
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| 290 | i] + "/H)" |
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| 291 | ws[col_maximum + str(row_da + 1)].border = f_border |
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| 292 | # table_date |
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| 293 | for i in range(0, time_len): |
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| 294 | rows = i + row_da + 2 |
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| 295 | |||
| 296 | ws['B' + str(rows)].font = name_font |
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| 297 | ws['B' + str(rows)].alignment = c_c_alignment |
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| 298 | ws['B' + str(rows)] = timestamps[i] |
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| 299 | ws['B' + str(rows)].border = f_border |
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| 300 | |||
| 301 | for index in range(0, ca_len): |
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| 302 | col_average = chr(ord('C') + 2 * index) |
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| 303 | col_maximum = chr(ord('D') + 2 * index) |
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| 304 | |||
| 305 | ws[col_average + str(rows)].font = name_font |
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| 306 | ws[col_average + str(rows)].alignment = c_c_alignment |
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| 307 | ws[col_average + str(rows)] = reporting_period_data['sub_averages'][index][i] \ |
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| 308 | if reporting_period_data['sub_maximums'][index] is not None else '' |
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| 309 | ws[col_average + str(rows)].number_format = '0.00' |
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| 310 | ws[col_average + str(rows)].border = f_border |
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| 311 | |||
| 312 | ws[col_maximum + str(rows)].font = name_font |
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| 313 | ws[col_maximum + str(rows)].alignment = c_c_alignment |
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| 314 | ws[col_maximum + str(rows)] = reporting_period_data['sub_maximums'][index][i] \ |
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| 315 | if reporting_period_data['sub_maximums'][index] is not None else '' |
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| 316 | ws[col_maximum + str(rows)].number_format = '0.00' |
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| 317 | ws[col_maximum + str(rows)].border = f_border |
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| 318 | current_row_number = row_da + 1 + time_len |
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| 319 | |||
| 320 | # LineChart |
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| 321 | for i in range(0, ca_len): |
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| 322 | lc = LineChart() |
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| 323 | lc.title = "Reporting Period Maximum Load" |
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| 324 | lc.style = 10 |
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| 325 | lc.x_axis.majorTickMark = 'in' |
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| 326 | lc.y_axis.majorTickMark = 'in' |
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| 327 | lc.smooth = True |
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| 328 | lc.x_axis.crosses = 'min' |
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| 329 | lc.height = 8.25 |
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| 330 | lc.width = 24 |
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| 331 | lc.dLbls = DataLabelList() |
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| 332 | lc.dLbls.dLblPos = 't' |
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| 333 | lc.dLbls.showVal = True |
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| 334 | times = Reference(ws, min_col=2, min_row=row_da + 2, |
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| 335 | max_row=row_da + 2 + time_len) |
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| 336 | lc_data = Reference(ws, min_col=2 + 2 * (i+1), min_row=row_da + 1, |
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| 337 | max_row=row_da + 1 + time_len) |
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| 338 | lc.add_data(lc_data, titles_from_data=True) |
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| 339 | lc.set_categories(times) |
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| 340 | ser = lc.series[0] |
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| 341 | ser.marker.symbol = "diamond" |
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| 342 | ser.marker.size = 5 |
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| 343 | chart_col = 'B' |
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| 344 | chart_cell = str(row_sat + 6 * i) |
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| 345 | ws.add_chart(lc, chart_col + chart_cell) |
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| 346 | |||
| 347 | #################################################################################################################### |
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| 348 | current_sheet_parameters_row_number = row_sat + 1 + 6 * ca_len |
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| 349 | if 'parameters' not in report.keys() or \ |
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| 350 | report['parameters'] is None or \ |
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| 351 | 'names' not in report['parameters'].keys() or \ |
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| 352 | report['parameters']['names'] is None or \ |
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| 353 | len(report['parameters']['names']) == 0 or \ |
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| 354 | 'timestamps' not in report['parameters'].keys() or \ |
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| 355 | report['parameters']['timestamps'] is None or \ |
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| 356 | len(report['parameters']['timestamps']) == 0 or \ |
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| 357 | 'values' not in report['parameters'].keys() or \ |
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| 358 | report['parameters']['values'] is None or \ |
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| 359 | len(report['parameters']['values']) == 0 or \ |
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| 360 | timestamps_data_all_equal_0(report['parameters']['timestamps']): |
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| 361 | pass |
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| 362 | else: |
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| 363 | |||
| 364 | ################################################################################################################ |
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| 365 | # new worksheet |
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| 366 | ################################################################################################################ |
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| 367 | |||
| 368 | parameters_data = report['parameters'] |
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| 369 | parameters_names_len = len(parameters_data['names']) |
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| 370 | |||
| 371 | file_name = (re.sub(r'[^A-Z]', '', ws.title))+'_' |
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| 372 | parameters_ws = wb.create_sheet(file_name + 'Parameters') |
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| 373 | |||
| 374 | parameters_timestamps_data_max_len = \ |
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| 375 | get_parameters_timestamps_lists_max_len(list(parameters_data['timestamps'])) |
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| 376 | |||
| 377 | # Row height |
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| 378 | parameters_ws.row_dimensions[1].height = 102 |
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| 379 | for i in range(2, 7 + 1): |
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| 380 | parameters_ws.row_dimensions[i].height = 42 |
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| 381 | |||
| 382 | for i in range(8, parameters_timestamps_data_max_len + 10): |
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| 383 | parameters_ws.row_dimensions[i].height = 60 |
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| 384 | |||
| 385 | # Col width |
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| 386 | parameters_ws.column_dimensions['A'].width = 1.5 |
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| 387 | |||
| 388 | parameters_ws.column_dimensions['B'].width = 25.0 |
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| 389 | |||
| 390 | for i in range(3, 12 + parameters_names_len * 3): |
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| 391 | parameters_ws.column_dimensions[format_cell.get_column_letter(i)].width = 15.0 |
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| 392 | |||
| 393 | # Img |
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| 394 | img = Image("excelexporters/myems.png") |
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| 395 | parameters_ws.add_image(img, 'A1') |
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| 396 | |||
| 397 | # Title |
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| 398 | |||
| 399 | parameters_ws['B3'].alignment = b_r_alignment |
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| 400 | parameters_ws['B3'] = 'Name:' |
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| 401 | parameters_ws['C3'].border = b_border |
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| 402 | parameters_ws['C3'].alignment = b_c_alignment |
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| 403 | parameters_ws['C3'] = name |
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| 404 | |||
| 405 | parameters_ws['D3'].alignment = b_r_alignment |
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| 406 | parameters_ws['D3'] = 'Period:' |
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| 407 | parameters_ws['E3'].border = b_border |
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| 408 | parameters_ws['E3'].alignment = b_c_alignment |
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| 409 | parameters_ws['E3'] = period_type |
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| 410 | |||
| 411 | parameters_ws['B4'].alignment = b_r_alignment |
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| 412 | parameters_ws['B4'] = 'Reporting Start Datetime:' |
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| 413 | parameters_ws['C4'].border = b_border |
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| 414 | parameters_ws['C4'].alignment = b_c_alignment |
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| 415 | parameters_ws['C4'] = reporting_start_datetime_local |
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| 416 | |||
| 417 | parameters_ws['D4'].alignment = b_r_alignment |
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| 418 | parameters_ws['D4'] = 'Reporting End Datetime:' |
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| 419 | parameters_ws['E4'].border = b_border |
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| 420 | parameters_ws['E4'].alignment = b_c_alignment |
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| 421 | parameters_ws['E4'] = reporting_end_datetime_local |
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| 422 | |||
| 423 | parameters_ws_current_row_number = 6 |
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| 424 | |||
| 425 | parameters_ws['B' + str(parameters_ws_current_row_number)].font = title_font |
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| 426 | parameters_ws['B' + str(parameters_ws_current_row_number)] = name + ' ' + 'Parameters' |
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| 427 | |||
| 428 | parameters_ws_current_row_number += 1 |
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| 429 | |||
| 430 | parameters_table_start_row_number = parameters_ws_current_row_number |
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| 431 | |||
| 432 | parameters_ws.row_dimensions[parameters_ws_current_row_number].height = 80 |
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| 433 | |||
| 434 | parameters_ws_current_row_number += 1 |
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| 435 | |||
| 436 | table_current_col_number = 2 |
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| 437 | |||
| 438 | for i in range(0, parameters_names_len): |
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| 439 | |||
| 440 | if len(parameters_data['timestamps'][i]) == 0: |
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| 441 | continue |
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| 442 | |||
| 443 | col = format_cell.get_column_letter(table_current_col_number) |
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| 444 | |||
| 445 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].fill = table_fill |
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| 446 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].border = f_border |
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| 447 | |||
| 448 | col = format_cell.get_column_letter(table_current_col_number + 1) |
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| 449 | |||
| 450 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].fill = table_fill |
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| 451 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].border = f_border |
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| 452 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].font = name_font |
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| 453 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].alignment = c_c_alignment |
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| 454 | parameters_ws[col + str(parameters_ws_current_row_number - 1)] = parameters_data['names'][i] |
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| 455 | |||
| 456 | table_current_row_number = parameters_ws_current_row_number |
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| 457 | |||
| 458 | for j, value in enumerate(list(parameters_data['timestamps'][i])): |
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| 459 | col = format_cell.get_column_letter(table_current_col_number) |
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| 460 | |||
| 461 | parameters_ws[col + str(table_current_row_number)].border = f_border |
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| 462 | parameters_ws[col + str(table_current_row_number)].font = title_font |
||
| 463 | parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment |
||
| 464 | parameters_ws[col + str(table_current_row_number)] = value |
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| 465 | |||
| 466 | col = format_cell.get_column_letter(table_current_col_number + 1) |
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| 467 | |||
| 468 | parameters_ws[col + str(table_current_row_number)].border = f_border |
||
| 469 | parameters_ws[col + str(table_current_row_number)].font = title_font |
||
| 470 | parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment |
||
| 471 | parameters_ws[col + str(table_current_row_number)] = round(parameters_data['values'][i][j], 2) |
||
| 472 | |||
| 473 | table_current_row_number += 1 |
||
| 474 | |||
| 475 | table_current_col_number = table_current_col_number + 3 |
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| 476 | |||
| 477 | ################################################################################################################ |
||
| 478 | # parameters chart and parameters table |
||
| 479 | ################################################################################################################ |
||
| 480 | |||
| 481 | ws['B' + str(current_sheet_parameters_row_number)].font = title_font |
||
| 482 | ws['B' + str(current_sheet_parameters_row_number)] = name + ' ' + 'Parameters' |
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| 483 | |||
| 484 | current_sheet_parameters_row_number += 1 |
||
| 485 | |||
| 486 | chart_start_row_number = current_sheet_parameters_row_number |
||
| 487 | |||
| 488 | col_index = 0 |
||
| 489 | |||
| 490 | for i in range(0, parameters_names_len): |
||
| 491 | |||
| 492 | if len(parameters_data['timestamps'][i]) == 0: |
||
| 493 | continue |
||
| 494 | |||
| 495 | line = LineChart() |
||
| 496 | data_col = 3 + col_index * 3 |
||
| 497 | labels_col = 2 + col_index * 3 |
||
| 498 | col_index += 1 |
||
| 499 | line.title = 'Parameters - ' + \ |
||
| 500 | parameters_ws.cell(row=parameters_table_start_row_number, column=data_col).value |
||
| 501 | labels = Reference(parameters_ws, min_col=labels_col, min_row=parameters_table_start_row_number + 1, |
||
| 502 | max_row=(len(parameters_data['timestamps'][i]) + parameters_table_start_row_number)) |
||
| 503 | line_data = Reference(parameters_ws, min_col=data_col, min_row=parameters_table_start_row_number, |
||
| 504 | max_row=(len(parameters_data['timestamps'][i]) + parameters_table_start_row_number)) |
||
| 505 | line.add_data(line_data, titles_from_data=True) |
||
| 506 | line.set_categories(labels) |
||
| 507 | line_data = line.series[0] |
||
| 508 | line_data.marker.symbol = "circle" |
||
| 509 | line_data.smooth = True |
||
| 510 | line.x_axis.crosses = 'min' |
||
| 511 | line.height = 8.25 |
||
| 512 | line.width = 24 |
||
| 513 | line.dLbls = DataLabelList() |
||
| 514 | line.dLbls.dLblPos = 't' |
||
| 515 | line.dLbls.showVal = False |
||
| 516 | line.dLbls.showPercent = False |
||
| 517 | chart_col = 'B' |
||
| 518 | chart_cell = chart_col + str(chart_start_row_number) |
||
| 519 | chart_start_row_number += 6 |
||
| 520 | ws.add_chart(line, chart_cell) |
||
| 521 | |||
| 522 | current_sheet_parameters_row_number = chart_start_row_number |
||
| 523 | |||
| 524 | current_sheet_parameters_row_number += 1 |
||
| 525 | #################################################################################################################### |
||
| 526 | filename = str(uuid.uuid4()) + '.xlsx' |
||
| 527 | wb.save(filename) |
||
| 528 | |||
| 529 | return filename |
||
| 530 | |||
| 555 |
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