myems /
myems-api
| Conditions | 47 |
| Total Lines | 470 |
| Code Lines | 349 |
| Lines | 470 |
| Ratio | 100 % |
| 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.tenantstatistics.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 | View Code Duplication | 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 | |||
| 70 | # Row height |
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| 71 | ws.row_dimensions[1].height = 121 |
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| 72 | |||
| 73 | for i in range(2, 37 + 1): |
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| 74 | ws.row_dimensions[i].height = 30 |
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| 75 | |||
| 76 | for i in range(38, 90 + 1): |
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| 77 | ws.row_dimensions[i].height = 30 |
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| 78 | |||
| 79 | # Col width |
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| 80 | ws.column_dimensions['A'].width = 1.5 |
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| 81 | ws.column_dimensions['B'].width = 20.0 |
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| 82 | |||
| 83 | for i in range(ord('C'), ord('I')): |
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| 84 | ws.column_dimensions[chr(i)].width = 15.0 |
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| 85 | |||
| 86 | # Font |
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| 87 | name_font = Font(name='Constantia', size=15, bold=True) |
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| 88 | title_font = Font(name='宋体', size=15, bold=True) |
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| 89 | # data_font = Font(name='Franklin Gothic Book', size=11) |
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| 90 | |||
| 91 | table_fill = PatternFill(fill_type='solid', fgColor='1F497D') |
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| 92 | f_border = Border(left=Side(border_style='medium', color='00000000'), |
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| 93 | right=Side(border_style='medium', color='00000000'), |
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| 94 | bottom=Side(border_style='medium', color='00000000'), |
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| 95 | top=Side(border_style='medium', color='00000000') |
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| 96 | ) |
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| 97 | b_border = Border( |
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| 98 | bottom=Side(border_style='medium', color='00000000'), |
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| 99 | ) |
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| 100 | |||
| 101 | b_c_alignment = Alignment(vertical='bottom', |
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| 102 | horizontal='center', |
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| 103 | text_rotation=0, |
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| 104 | wrap_text=False, |
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| 105 | shrink_to_fit=False, |
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| 106 | indent=0) |
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| 107 | c_c_alignment = Alignment(vertical='center', |
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| 108 | horizontal='center', |
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| 109 | text_rotation=0, |
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| 110 | wrap_text=False, |
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| 111 | shrink_to_fit=False, |
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| 112 | indent=0) |
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| 113 | b_r_alignment = Alignment(vertical='bottom', |
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| 114 | horizontal='right', |
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| 115 | text_rotation=0, |
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| 116 | wrap_text=False, |
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| 117 | shrink_to_fit=False, |
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| 118 | indent=0) |
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| 119 | # c_r_alignment = Alignment(vertical='bottom', |
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| 120 | # horizontal='center', |
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| 121 | # text_rotation=0, |
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| 122 | # wrap_text=False, |
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| 123 | # shrink_to_fit=False, |
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| 124 | # indent=0) |
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| 125 | |||
| 126 | # Img |
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| 127 | img = Image("excelexporters/myems.png") |
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| 128 | # img = Image("myems.png") |
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| 129 | ws.add_image(img, 'B1') |
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| 130 | |||
| 131 | # Title |
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| 132 | ws['B3'].font = name_font |
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| 133 | ws['B3'].alignment = b_r_alignment |
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| 134 | ws['B3'] = 'Name:' |
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| 135 | ws['C3'].border = b_border |
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| 136 | ws['C3'].alignment = b_c_alignment |
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| 137 | ws['C3'].font = name_font |
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| 138 | ws['C3'] = name |
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| 139 | |||
| 140 | ws['D3'].font = name_font |
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| 141 | ws['D3'].alignment = b_r_alignment |
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| 142 | ws['D3'] = 'Period:' |
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| 143 | ws['E3'].border = b_border |
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| 144 | ws['E3'].alignment = b_c_alignment |
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| 145 | ws['E3'].font = name_font |
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| 146 | ws['E3'] = period_type |
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| 147 | |||
| 148 | ws['F3'].font = name_font |
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| 149 | ws['F3'].alignment = b_r_alignment |
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| 150 | ws['F3'] = 'Date:' |
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| 151 | ws['G3'].border = b_border |
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| 152 | ws['G3'].alignment = b_c_alignment |
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| 153 | ws['G3'].font = name_font |
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| 154 | ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local |
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| 155 | ws.merge_cells("G3:H3") |
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| 156 | |||
| 157 | if "reporting_period" not in report.keys() or \ |
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| 158 | "names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0: |
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| 159 | filename = str(uuid.uuid4()) + '.xlsx' |
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| 160 | wb.save(filename) |
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| 161 | |||
| 162 | return filename |
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| 163 | ################################################# |
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| 164 | # First: 统计分析 |
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| 165 | # 6: title |
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| 166 | # 7: table title |
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| 167 | # 8~ca_len table_data |
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| 168 | ################################################# |
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| 169 | reporting_period_data = report['reporting_period'] |
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| 170 | |||
| 171 | has_energy_data_flag = True |
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| 172 | |||
| 173 | if "names" not in reporting_period_data.keys() or \ |
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| 174 | reporting_period_data['names'] is None or \ |
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| 175 | len(reporting_period_data['names']) == 0: |
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| 176 | has_energy_data_flag = False |
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| 177 | |||
| 178 | filename = str(uuid.uuid4()) + '.xlsx' |
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| 179 | wb.save(filename) |
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| 180 | |||
| 181 | return filename |
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| 182 | |||
| 183 | if has_energy_data_flag: |
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| 184 | ws['B6'].font = title_font |
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| 185 | ws['B6'] = name + ' 统计分析' |
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| 186 | # ws['D6'].font = title_font |
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| 187 | # ws['D6'] = '面积' +report['space']['area'] |
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| 188 | |||
| 189 | category = reporting_period_data['names'] |
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| 190 | |||
| 191 | # table_title |
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| 192 | ws['B7'].fill = table_fill |
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| 193 | ws['B7'].font = title_font |
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| 194 | ws['B7'].alignment = c_c_alignment |
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| 195 | ws['B7'] = '报告期' |
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| 196 | ws['B7'].border = f_border |
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| 197 | |||
| 198 | ws['C7'].font = title_font |
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| 199 | ws['C7'].alignment = c_c_alignment |
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| 200 | ws['C7'] = '算术平均数' |
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| 201 | ws['C7'].border = f_border |
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| 202 | |||
| 203 | ws['D7'].font = title_font |
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| 204 | ws['D7'].alignment = c_c_alignment |
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| 205 | ws['D7'] = '中位数' |
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| 206 | ws['D7'].border = f_border |
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| 207 | |||
| 208 | ws['E7'].font = title_font |
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| 209 | ws['E7'].alignment = c_c_alignment |
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| 210 | ws['E7'] = '最小值' |
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| 211 | ws['E7'].border = f_border |
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| 212 | |||
| 213 | ws['F7'].font = title_font |
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| 214 | ws['F7'].alignment = c_c_alignment |
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| 215 | ws['F7'] = '最大值' |
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| 216 | ws['F7'].border = f_border |
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| 217 | |||
| 218 | ws['G7'].font = title_font |
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| 219 | ws['G7'].alignment = c_c_alignment |
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| 220 | ws['G7'] = '样本标准差' |
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| 221 | ws['G7'].border = f_border |
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| 222 | |||
| 223 | ws['H7'].font = title_font |
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| 224 | ws['H7'].alignment = c_c_alignment |
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| 225 | ws['H7'] = '样本方差' |
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| 226 | ws['H7'].border = f_border |
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| 227 | |||
| 228 | # table_data |
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| 229 | |||
| 230 | for i, value in enumerate(category): |
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| 231 | row = i*2 + 8 |
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| 232 | ws['B' + str(row)].font = name_font |
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| 233 | ws['B' + str(row)].alignment = c_c_alignment |
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| 234 | ws['B' + str(row)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + " )" |
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| 235 | ws['B' + str(row)].border = f_border |
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| 236 | |||
| 237 | ws['B' + str(row + 1)].font = name_font |
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| 238 | ws['B' + str(row + 1)].alignment = c_c_alignment |
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| 239 | ws['B' + str(row + 1)] = "环比" |
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| 240 | ws['B' + str(row + 1)].border = f_border |
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| 241 | |||
| 242 | ws['C' + str(row)].font = name_font |
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| 243 | ws['C' + str(row)].alignment = c_c_alignment |
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| 244 | ws['C' + str(row)] = round(reporting_period_data['means'][i], 2) \ |
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| 245 | if reporting_period_data['means'][i] is not None else '' |
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| 246 | ws['C' + str(row)].border = f_border |
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| 247 | ws['C' + str(row)].number_format = '0.00' |
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| 248 | |||
| 249 | ws['C' + str(row + 1)].font = name_font |
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| 250 | ws['C' + str(row + 1)].alignment = c_c_alignment |
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| 251 | ws['C' + str(row + 1)] = str(round(reporting_period_data['means_increment_rate'][i] * 100, 2)) + "%" \ |
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| 252 | if reporting_period_data['means_increment_rate'][i] is not None else '0.00%' |
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| 253 | ws['C' + str(row + 1)].border = f_border |
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| 254 | |||
| 255 | ws['D' + str(row)].font = name_font |
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| 256 | ws['D' + str(row)].alignment = c_c_alignment |
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| 257 | ws['D' + str(row)] = round(reporting_period_data['medians'][i], 2) \ |
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| 258 | if reporting_period_data['medians'][i] is not None else '' |
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| 259 | ws['D' + str(row)].border = f_border |
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| 260 | ws['D' + str(row)].number_format = '0.00' |
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| 261 | |||
| 262 | ws['D' + str(row + 1)].font = name_font |
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| 263 | ws['D' + str(row + 1)].alignment = c_c_alignment |
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| 264 | ws['D' + str(row + 1)] = str(round(reporting_period_data['medians_increment_rate'][i] * 100, 2)) + "%" \ |
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| 265 | if reporting_period_data['medians_increment_rate'][i] is not None else '0.00%' |
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| 266 | ws['D' + str(row + 1)].border = f_border |
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| 267 | |||
| 268 | ws['E' + str(row)].font = name_font |
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| 269 | ws['E' + str(row)].alignment = c_c_alignment |
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| 270 | ws['E' + str(row)] = round(reporting_period_data['minimums'][i], 2) \ |
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| 271 | if reporting_period_data['minimums'][i] is not None else '' |
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| 272 | ws['E' + str(row)].border = f_border |
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| 273 | ws['E' + str(row)].number_format = '0.00' |
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| 274 | |||
| 275 | ws['E' + str(row + 1)].font = name_font |
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| 276 | ws['E' + str(row + 1)].alignment = c_c_alignment |
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| 277 | ws['E' + str(row + 1)] = str(round(reporting_period_data['minimums_increment_rate'][i] * 100, 2)) + "%" \ |
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| 278 | if reporting_period_data['minimums_increment_rate'][i] is not None else '0.00%' |
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| 279 | ws['E' + str(row + 1)].border = f_border |
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| 280 | |||
| 281 | ws['F' + str(row)].font = name_font |
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| 282 | ws['F' + str(row)].alignment = c_c_alignment |
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| 283 | ws['F' + str(row)] = round(reporting_period_data['maximums'][i], 2) \ |
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| 284 | if reporting_period_data['maximums'][i] is not None else '' |
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| 285 | ws['F' + str(row)].border = f_border |
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| 286 | ws['F' + str(row)].number_format = '0.00' |
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| 287 | |||
| 288 | ws['F' + str(row + 1)].font = name_font |
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| 289 | ws['F' + str(row + 1)].alignment = c_c_alignment |
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| 290 | ws['F' + str(row + 1)] = str(round(reporting_period_data['maximums_increment_rate'][i] * 100, 2)) + "%" \ |
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| 291 | if reporting_period_data['maximums_increment_rate'][i] is not None else '0.00%' |
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| 292 | ws['F' + str(row + 1)].border = f_border |
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| 293 | |||
| 294 | ws['G' + str(row)].font = name_font |
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| 295 | ws['G' + str(row)].alignment = c_c_alignment |
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| 296 | ws['G' + str(row)] = round(reporting_period_data['stdevs'][i], 2) \ |
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| 297 | if reporting_period_data['stdevs'][i] is not None else '' |
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| 298 | ws['G' + str(row)].border = f_border |
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| 299 | ws['G' + str(row)].number_format = '0.00' |
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| 300 | |||
| 301 | ws['G' + str(row + 1)].font = name_font |
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| 302 | ws['G' + str(row + 1)].alignment = c_c_alignment |
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| 303 | ws['G' + str(row + 1)] = str(round(reporting_period_data['stdevs_increment_rate'][i] * 100, 2)) + "%" \ |
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| 304 | if reporting_period_data['stdevs_increment_rate'][i] is not None else '0.00%' |
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| 305 | ws['G' + str(row + 1)].border = f_border |
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| 306 | |||
| 307 | ws['H' + str(row)].font = name_font |
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| 308 | ws['H' + str(row)].alignment = c_c_alignment |
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| 309 | ws['H' + str(row)] = round(reporting_period_data['variances'][i], 2) \ |
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| 310 | if reporting_period_data['variances'][i] is not None else '' |
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| 311 | ws['H' + str(row)].border = f_border |
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| 312 | ws['H' + str(row)].number_format = '0.00' |
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| 313 | |||
| 314 | ws['H' + str(row + 1)].font = name_font |
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| 315 | ws['H' + str(row + 1)].alignment = c_c_alignment |
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| 316 | ws['H' + str(row + 1)] = str(round(reporting_period_data['variances_increment_rate'][i] * 100, 2)) + "%" \ |
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| 317 | if reporting_period_data['variances_increment_rate'][i] is not None else '0.00%' |
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| 318 | ws['H' + str(row + 1)].border = f_border |
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| 319 | ################################################# |
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| 320 | # Second: 报告期消耗 |
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| 321 | # 9 + ca_len * 2: title |
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| 322 | # 10 + ca_len * 2: table title |
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| 323 | # row_title + 2 ~ row_title + 2 + ca_len : table_data |
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| 324 | ################################################# |
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| 325 | |||
| 326 | if has_energy_data_flag: |
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| 327 | names = reporting_period_data['names'] |
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| 328 | ca_len = len(names) |
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| 329 | |||
| 330 | row_title = 9 + ca_len * 2 |
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| 331 | |||
| 332 | ws['B' + str(row_title)].font = title_font |
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| 333 | ws['B' + str(row_title)] = name + ' 单位面积值' |
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| 334 | ws['D' + str(row_title)].font = title_font |
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| 335 | ws['D' + str(row_title)] = str(report['tenant']['area']) + 'M²' |
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| 336 | |||
| 337 | category = reporting_period_data['names'] |
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| 338 | |||
| 339 | # table_title |
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| 340 | ws['B' + str(row_title + 1)].fill = table_fill |
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| 341 | ws['B' + str(row_title + 1)].font = title_font |
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| 342 | ws['B' + str(row_title + 1)].alignment = c_c_alignment |
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| 343 | ws['B' + str(row_title + 1)] = '报告期' |
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| 344 | ws['B' + str(row_title + 1)].border = f_border |
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| 345 | |||
| 346 | ws['C' + str(row_title + 1)].font = title_font |
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| 347 | ws['C' + str(row_title + 1)].alignment = c_c_alignment |
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| 348 | ws['C' + str(row_title + 1)] = '算术平均数' |
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| 349 | ws['C' + str(row_title + 1)].border = f_border |
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| 350 | |||
| 351 | ws['D' + str(row_title + 1)].font = title_font |
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| 352 | ws['D' + str(row_title + 1)].alignment = c_c_alignment |
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| 353 | ws['D' + str(row_title + 1)] = '中位数' |
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| 354 | ws['D' + str(row_title + 1)].border = f_border |
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| 355 | |||
| 356 | ws['E' + str(row_title + 1)].font = title_font |
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| 357 | ws['E' + str(row_title + 1)].alignment = c_c_alignment |
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| 358 | ws['E' + str(row_title + 1)] = '最小值' |
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| 359 | ws['E' + str(row_title + 1)].border = f_border |
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| 360 | |||
| 361 | ws['F' + str(row_title + 1)].font = title_font |
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| 362 | ws['F' + str(row_title + 1)].alignment = c_c_alignment |
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| 363 | ws['F' + str(row_title + 1)] = '最大值' |
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| 364 | ws['F' + str(row_title + 1)].border = f_border |
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| 365 | |||
| 366 | ws['G' + str(row_title + 1)].font = title_font |
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| 367 | ws['G' + str(row_title + 1)].alignment = c_c_alignment |
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| 368 | ws['G' + str(row_title + 1)] = '样本标准差' |
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| 369 | ws['G' + str(row_title + 1)].border = f_border |
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| 370 | |||
| 371 | ws['H' + str(row_title + 1)].font = title_font |
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| 372 | ws['H' + str(row_title + 1)].alignment = c_c_alignment |
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| 373 | ws['H' + str(row_title + 1)] = '样本方差' |
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| 374 | ws['H' + str(row_title + 1)].border = f_border |
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| 375 | |||
| 376 | # table_data |
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| 377 | |||
| 378 | for i, value in enumerate(category): |
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| 379 | row_data = row_title + 2 + i |
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| 380 | ws['B' + str(row_data)].font = name_font |
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| 381 | ws['B' + str(row_data)].alignment = c_c_alignment |
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| 382 | ws['B' + str(row_data)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][ |
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| 383 | i] + "/M²)" |
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| 384 | ws['B' + str(row_data)].border = f_border |
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| 385 | |||
| 386 | ws['C' + str(row_data)].font = name_font |
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| 387 | ws['C' + str(row_data)].alignment = c_c_alignment |
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| 388 | if reporting_period_data['means_per_unit_area'][i] \ |
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| 389 | or reporting_period_data['means_per_unit_area'][i] == 0: |
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| 390 | ws['C' + str(row_data)] = round(reporting_period_data['means_per_unit_area'][i], 2) |
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| 391 | ws['C' + str(row_data)].border = f_border |
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| 392 | ws['C' + str(row_data)].number_format = '0.00' |
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| 393 | |||
| 394 | ws['D' + str(row_data)].font = name_font |
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| 395 | ws['D' + str(row_data)].alignment = c_c_alignment |
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| 396 | if reporting_period_data['medians_per_unit_area'][i] \ |
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| 397 | or reporting_period_data['medians_per_unit_area'][i] == 0: |
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| 398 | ws['D' + str(row_data)] = round(reporting_period_data['medians_per_unit_area'][i], 2) |
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| 399 | ws['D' + str(row_data)].border = f_border |
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| 400 | ws['D' + str(row_data)].number_format = '0.00' |
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| 401 | |||
| 402 | ws['E' + str(row_data)].font = name_font |
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| 403 | ws['E' + str(row_data)].alignment = c_c_alignment |
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| 404 | if reporting_period_data['minimums_per_unit_area'][i] \ |
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| 405 | or reporting_period_data['minimums_per_unit_area'][i] == 0: |
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| 406 | ws['E' + str(row_data)] = round(reporting_period_data['minimums_per_unit_area'][i], 2) |
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| 407 | ws['E' + str(row_data)].border = f_border |
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| 408 | ws['E' + str(row_data)].number_format = '0.00' |
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| 409 | |||
| 410 | ws['F' + str(row_data)].font = name_font |
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| 411 | ws['F' + str(row_data)].alignment = c_c_alignment |
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| 412 | if reporting_period_data['maximums_per_unit_area'][i] \ |
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| 413 | or reporting_period_data['maximums_per_unit_area'][i] == 0: |
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| 414 | ws['F' + str(row_data)] = round(reporting_period_data['maximums_per_unit_area'][i], 2) |
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| 415 | ws['F' + str(row_data)].border = f_border |
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| 416 | ws['F' + str(row_data)].number_format = '0.00' |
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| 417 | |||
| 418 | ws['G' + str(row_data)].font = name_font |
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| 419 | ws['G' + str(row_data)].alignment = c_c_alignment |
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| 420 | if (reporting_period_data['stdevs_per_unit_area'][i]) \ |
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| 421 | or reporting_period_data['stdevs_per_unit_area'][i] == 0: |
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| 422 | ws['G' + str(row_data)] = round(reporting_period_data['stdevs_per_unit_area'][i], 2) |
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| 423 | ws['G' + str(row_data)].border = f_border |
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| 424 | ws['G' + str(row_data)].number_format = '0.00' |
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| 425 | |||
| 426 | ws['H' + str(row_data)].font = name_font |
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| 427 | ws['H' + str(row_data)].alignment = c_c_alignment |
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| 428 | if reporting_period_data['variances_per_unit_area'][i] \ |
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| 429 | or reporting_period_data['variances_per_unit_area'][i] == 0: |
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| 430 | ws['H' + str(row_data)] = round(reporting_period_data['variances_per_unit_area'][i], 2) |
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| 431 | ws['H' + str(row_data)].border = f_border |
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| 432 | ws['H' + str(row_data)].number_format = '0.00' |
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| 433 | |||
| 434 | ######################################################## |
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| 435 | # Third: 详细数据 |
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| 436 | # row_sat+row_title~ row_sat+row_title+time_len: line |
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| 437 | # row_sat+1+row_title: table title |
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| 438 | # i + row_sat + 2 + 10 * ca_len~: table_data |
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| 439 | ######################################################## |
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| 440 | has_timestamps_flag = True |
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| 441 | if "timestamps" not in reporting_period_data.keys() or \ |
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| 442 | reporting_period_data['timestamps'] is None or \ |
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| 443 | len(reporting_period_data['timestamps']) == 0: |
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| 444 | has_timestamps_flag = False |
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| 445 | |||
| 446 | if has_timestamps_flag: |
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| 447 | timestamps = reporting_period_data['timestamps'][0] |
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| 448 | values = reporting_period_data['values'] |
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| 449 | names = reporting_period_data['names'] |
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| 450 | ca_len = len(names) |
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| 451 | time_len = len(timestamps) |
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| 452 | # title |
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| 453 | row_title = 10 * ca_len |
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| 454 | # row_st == row_statistical analysis table |
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| 455 | row_sat = 12 + 3 * ca_len |
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| 456 | |||
| 457 | ws['B' + str(row_sat+row_title)].font = title_font |
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| 458 | ws['B' + str(row_sat+row_title)] = name + ' 详细数据' |
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| 459 | # table_title |
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| 460 | ws['B' + str(row_sat+1+row_title)].fill = table_fill |
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| 461 | ws['B' + str(row_sat+1+row_title)].font = name_font |
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| 462 | ws['B' + str(row_sat+1+row_title)].alignment = c_c_alignment |
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| 463 | ws['B' + str(row_sat+1+row_title)] = "时间" |
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| 464 | ws['B' + str(row_sat+1+row_title)].border = f_border |
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| 465 | |||
| 466 | for i in range(0, ca_len): |
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| 467 | col = chr(ord('C') + i) |
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| 468 | |||
| 469 | ws[col + str(row_sat+1+row_title)].font = name_font |
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| 470 | ws[col + str(row_sat+1+row_title)].alignment = c_c_alignment |
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| 471 | ws[col + str(row_sat+1+row_title)] = names[i] + " - (" + reporting_period_data['units'][i] + ")" |
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| 472 | ws[col + str(row_sat+1+row_title)].border = f_border |
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| 473 | # table_date |
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| 474 | for i in range(0, time_len): |
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| 475 | rows = i + row_sat + 2 + 10 * ca_len |
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| 476 | |||
| 477 | ws['B' + str(rows)].font = name_font |
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| 478 | ws['B' + str(rows)].alignment = c_c_alignment |
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| 479 | ws['B' + str(rows)] = timestamps[i] |
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| 480 | ws['B' + str(rows)].border = f_border |
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| 481 | |||
| 482 | for index in range(0, ca_len): |
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| 483 | col = chr(ord('C') + index) |
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| 484 | |||
| 485 | ws[col + str(rows)].font = name_font |
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| 486 | ws[col + str(rows)].alignment = c_c_alignment |
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| 487 | ws[col + str(rows)] = round(values[index][i], 2) |
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| 488 | ws[col + str(rows)].number_format = '0.00' |
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| 489 | ws[col + str(rows)].border = f_border |
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| 490 | |||
| 491 | # 小计 |
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| 492 | row_subtotals = row_sat + 2 + time_len + 10 * ca_len |
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| 493 | ws['B' + str(row_subtotals)].font = name_font |
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| 494 | ws['B' + str(row_subtotals)].alignment = c_c_alignment |
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| 495 | ws['B' + str(row_subtotals)] = "小计" |
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| 496 | ws['B' + str(row_subtotals)].border = f_border |
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| 497 | |||
| 498 | for i in range(0, ca_len): |
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| 499 | col = chr(ord('C') + i) |
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| 500 | |||
| 501 | ws[col + str(row_subtotals)].font = name_font |
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| 502 | ws[col + str(row_subtotals)].alignment = c_c_alignment |
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| 503 | ws[col + str(row_subtotals)] = round(reporting_period_data['subtotals'][i], 2) |
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| 504 | ws[col + str(row_subtotals)].border = f_border |
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| 505 | ws[col + str(row_subtotals)].number_format = '0.00' |
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| 506 | |||
| 507 | # LineChart |
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| 508 | for i in range(0, ca_len): |
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| 509 | |||
| 510 | lc = LineChart() |
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| 511 | lc.title = "报告期消耗" + " - " + names[i] + "(" + reporting_period_data['units'][i] + ")" |
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| 512 | lc.style = 10 |
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| 513 | lc.height = 8.40 # cm 1.05*8 1.05cm = 30 pt |
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| 514 | lc.width = 31 |
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| 515 | lc.x_axis.majorTickMark = 'in' |
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| 516 | lc.y_axis.majorTickMark = 'in' |
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| 517 | times = Reference(ws, min_col=2, min_row=row_sat + 2 + row_title, |
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| 518 | max_row=row_sat + 2 + row_title + time_len) |
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| 519 | lc_data = Reference(ws, min_col=3 + i, min_row=row_sat + 1 + row_title, |
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| 520 | max_row=row_sat + 1 + row_title + time_len) |
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| 521 | lc.add_data(lc_data, titles_from_data=True) |
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| 522 | lc.set_categories(times) |
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| 523 | ser = lc.series[0] |
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| 524 | ser.marker.symbol = "diamond" |
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| 525 | ser.marker.size = 5 |
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| 526 | ws.add_chart(lc, 'B' + str(row_sat + 10 * i)) |
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| 527 | |||
| 528 | filename = str(uuid.uuid4()) + '.xlsx' |
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| 529 | wb.save(filename) |
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| 530 | |||
| 531 | return filename |
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| 532 |
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