MyEMS /
myems
| Total Complexity | 87 |
| Total Lines | 767 |
| Duplicated Lines | 93.35 % |
| Changes | 0 | ||
Duplicate code is one of the most pungent code smells. A rule that is often used is to re-structure code once it is duplicated in three or more places.
Common duplication problems, and corresponding solutions are:
Complex classes like excelexporters.shopfloorstatistics 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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| 2 | import uuid |
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| 3 | import os |
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| 4 | from openpyxl.chart import ( |
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| 5 | LineChart, |
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| 6 | Reference, |
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| 7 | ) |
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| 8 | from openpyxl.chart.label import DataLabelList |
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| 9 | from openpyxl.styles import PatternFill, Border, Side, Alignment, Font |
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| 10 | from openpyxl.drawing.image import Image |
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| 11 | from openpyxl import Workbook |
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| 12 | import openpyxl.utils.cell as format_cell |
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| 13 | |||
| 14 | #################################################################################################################### |
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| 15 | # PROCEDURES |
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| 16 | # Step 1: Validate the report data |
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| 17 | # Step 2: Generate excel file |
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| 18 | # Step 3: Encode the excel file bytes to Base64 |
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| 19 | #################################################################################################################### |
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| 20 | |||
| 21 | |||
| 22 | View Code Duplication | def export(report, |
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Duplication
introduced
by
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| 23 | name, |
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| 24 | reporting_start_datetime_local, |
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| 25 | reporting_end_datetime_local, |
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| 26 | period_type): |
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| 27 | #################################################################################################################### |
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| 28 | # Step 1: Validate the report data |
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| 29 | #################################################################################################################### |
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| 30 | if report is None: |
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| 31 | return None |
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| 32 | print(report) |
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| 33 | |||
| 34 | #################################################################################################################### |
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| 35 | # Step 2: Generate excel file from the report data |
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| 36 | #################################################################################################################### |
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| 37 | filename = generate_excel(report, |
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| 38 | name, |
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| 39 | reporting_start_datetime_local, |
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| 40 | reporting_end_datetime_local, |
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| 41 | period_type) |
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| 42 | #################################################################################################################### |
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| 43 | # Step 3: Encode the excel file to Base64 |
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| 44 | #################################################################################################################### |
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| 45 | try: |
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| 46 | with open(filename, 'rb') as binary_file: |
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| 47 | binary_file_data = binary_file.read() |
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| 48 | except IOError as ex: |
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| 49 | pass |
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| 50 | |||
| 51 | # Base64 encode the bytes |
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| 52 | base64_encoded_data = base64.b64encode(binary_file_data) |
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| 53 | # get the Base64 encoded data using human-readable characters. |
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| 54 | base64_message = base64_encoded_data.decode('utf-8') |
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| 55 | # delete the file from server |
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| 56 | try: |
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| 57 | os.remove(filename) |
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| 58 | except NotImplementedError as ex: |
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| 59 | pass |
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| 60 | return base64_message |
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| 61 | |||
| 62 | |||
| 63 | View Code Duplication | def decimal_to_column(num=65): |
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| 64 | string = '' |
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| 65 | num = num - 64 |
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| 66 | # The column number is not greater than 90 |
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| 67 | if num <= 26: |
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| 68 | return chr(num + 64) |
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| 69 | # The column number is greater than 90 |
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| 70 | while num // 26 > 0: |
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| 71 | if num % 26 == 0: |
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| 72 | string += 'Z' |
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| 73 | num = num // 26 - 1 |
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| 74 | else: |
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| 75 | string += chr(num % 26 + 64) |
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| 76 | num //= 26 |
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| 77 | # Avoid conversion errors that might occur between 741 and 766 |
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| 78 | if num > 0: |
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| 79 | string += chr(num + 64) |
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| 80 | |||
| 81 | return string[::-1] |
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| 82 | |||
| 83 | |||
| 84 | def column_to_decimal(string='A'): |
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| 85 | num = 0 |
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| 86 | for index, key in enumerate(string[::-1]): |
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| 87 | num += (ord(key) - 64) * (26 ** index) |
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| 88 | |||
| 89 | return num + 64 |
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| 90 | |||
| 91 | |||
| 92 | def get_parameters_timestamps_lists_max_len(parameters_timestamps_lists): |
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| 93 | max_len = 0 |
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| 94 | for i, value in enumerate(list(parameters_timestamps_lists)): |
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| 95 | if len(value) > max_len: |
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| 96 | max_len = len(value) |
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| 97 | |||
| 98 | return max_len |
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| 99 | |||
| 100 | |||
| 101 | def timestamps_data_all_equal_0(lists): |
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| 102 | for i, value in enumerate(list(lists)): |
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| 103 | if len(value) > 0: |
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| 104 | return False |
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| 105 | |||
| 106 | return True |
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| 107 | |||
| 108 | |||
| 109 | View Code Duplication | def generate_excel(report, |
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| 110 | name, |
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| 111 | reporting_start_datetime_local, |
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| 112 | reporting_end_datetime_local, |
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| 113 | period_type): |
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| 114 | wb = Workbook() |
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| 115 | ws = wb.active |
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| 116 | |||
| 117 | # Row height |
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| 118 | ws.row_dimensions[1].height = 102 |
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| 119 | |||
| 120 | for i in range(2, 2000 + 1): |
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| 121 | ws.row_dimensions[i].height = 42 |
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| 122 | |||
| 123 | # Col width |
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| 124 | ws.column_dimensions['A'].width = 1.5 |
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| 125 | ws.column_dimensions['B'].width = 25.0 |
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| 126 | |||
| 127 | for i in range(ord('C'), ord('L')): |
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| 128 | ws.column_dimensions[chr(i)].width = 15.0 |
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| 129 | |||
| 130 | # Font |
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| 131 | name_font = Font(name='Constantia', size=15, bold=True) |
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| 132 | title_font = Font(name='宋体', size=15, bold=True) |
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| 133 | # data_font = Font(name='Franklin Gothic Book', size=11) |
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| 134 | |||
| 135 | table_fill = PatternFill(fill_type='solid', fgColor='1F497D') |
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| 136 | f_border = Border(left=Side(border_style='medium', color='00000000'), |
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| 137 | right=Side(border_style='medium', color='00000000'), |
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| 138 | bottom=Side(border_style='medium', color='00000000'), |
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| 139 | top=Side(border_style='medium', color='00000000') |
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| 140 | ) |
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| 141 | b_border = Border( |
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| 142 | bottom=Side(border_style='medium', color='00000000'), |
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| 143 | ) |
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| 144 | |||
| 145 | b_c_alignment = Alignment(vertical='bottom', |
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| 146 | horizontal='center', |
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| 147 | text_rotation=0, |
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| 148 | wrap_text=True, |
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| 149 | shrink_to_fit=False, |
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| 150 | indent=0) |
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| 151 | c_c_alignment = Alignment(vertical='center', |
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| 152 | horizontal='center', |
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| 153 | text_rotation=0, |
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| 154 | wrap_text=True, |
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| 155 | shrink_to_fit=False, |
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| 156 | indent=0) |
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| 157 | b_r_alignment = Alignment(vertical='bottom', |
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| 158 | horizontal='right', |
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| 159 | text_rotation=0, |
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| 160 | wrap_text=True, |
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| 161 | shrink_to_fit=False, |
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| 162 | indent=0) |
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| 163 | |||
| 164 | # Img |
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| 165 | img = Image("excelexporters/myems.png") |
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| 166 | # img = Image("myems.png") |
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| 167 | ws.add_image(img, 'B1') |
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| 168 | |||
| 169 | # Title |
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| 170 | ws['B3'].font = name_font |
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| 171 | ws['B3'].alignment = b_r_alignment |
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| 172 | ws['B3'] = 'Name:' |
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| 173 | ws['C3'].border = b_border |
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| 174 | ws['C3'].alignment = b_c_alignment |
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| 175 | ws['C3'].font = name_font |
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| 176 | ws['C3'] = name |
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| 177 | |||
| 178 | ws['D3'].font = name_font |
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| 179 | ws['D3'].alignment = b_r_alignment |
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| 180 | ws['D3'] = 'Period:' |
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| 181 | ws['E3'].border = b_border |
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| 182 | ws['E3'].alignment = b_c_alignment |
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| 183 | ws['E3'].font = name_font |
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| 184 | ws['E3'] = period_type |
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| 185 | |||
| 186 | ws['F3'].font = name_font |
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| 187 | ws['F3'].alignment = b_r_alignment |
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| 188 | ws['F3'] = 'Date:' |
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| 189 | ws['G3'].border = b_border |
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| 190 | ws['G3'].alignment = b_c_alignment |
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| 191 | ws['G3'].font = name_font |
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| 192 | ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local |
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| 193 | ws.merge_cells("G3:H3") |
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| 194 | |||
| 195 | if "reporting_period" not in report.keys() or \ |
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| 196 | "names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0: |
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| 197 | filename = str(uuid.uuid4()) + '.xlsx' |
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| 198 | wb.save(filename) |
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| 199 | |||
| 200 | return filename |
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| 201 | ################################################# |
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| 202 | # First: 统计分析 |
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| 203 | # 6: title |
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| 204 | # 7: table title |
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| 205 | # 8~ca_len table_data |
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| 206 | ################################################# |
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| 207 | reporting_period_data = report['reporting_period'] |
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| 208 | |||
| 209 | has_energy_data_flag = True |
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| 210 | |||
| 211 | if "names" not in reporting_period_data.keys() or \ |
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| 212 | reporting_period_data['names'] is None or \ |
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| 213 | len(reporting_period_data['names']) == 0: |
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| 214 | has_energy_data_flag = False |
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| 215 | |||
| 216 | filename = str(uuid.uuid4()) + '.xlsx' |
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| 217 | wb.save(filename) |
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| 218 | |||
| 219 | return filename |
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| 220 | |||
| 221 | if has_energy_data_flag: |
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| 222 | ws['B6'].font = title_font |
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| 223 | ws['B6'] = name + ' 统计分析' |
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| 224 | |||
| 225 | category = reporting_period_data['names'] |
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| 226 | |||
| 227 | # table_title |
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| 228 | ws['B7'].fill = table_fill |
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| 229 | ws['B7'].font = title_font |
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| 230 | ws['B7'].alignment = c_c_alignment |
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| 231 | ws['B7'] = '报告期' |
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| 232 | ws['B7'].border = f_border |
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| 233 | |||
| 234 | ws['C7'].font = title_font |
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| 235 | ws['C7'].alignment = c_c_alignment |
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| 236 | ws['C7'] = '算术平均数' |
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| 237 | ws['C7'].border = f_border |
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| 238 | |||
| 239 | ws['D7'].font = title_font |
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| 240 | ws['D7'].alignment = c_c_alignment |
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| 241 | ws['D7'] = '中位数' |
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| 242 | ws['D7'].border = f_border |
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| 243 | |||
| 244 | ws['E7'].font = title_font |
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| 245 | ws['E7'].alignment = c_c_alignment |
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| 246 | ws['E7'] = '最小值' |
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| 247 | ws['E7'].border = f_border |
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| 248 | |||
| 249 | ws['F7'].font = title_font |
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| 250 | ws['F7'].alignment = c_c_alignment |
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| 251 | ws['F7'] = '最大值' |
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| 252 | ws['F7'].border = f_border |
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| 253 | |||
| 254 | ws['G7'].font = title_font |
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| 255 | ws['G7'].alignment = c_c_alignment |
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| 256 | ws['G7'] = '样本标准差' |
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| 257 | ws['G7'].border = f_border |
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| 258 | |||
| 259 | ws['H7'].font = title_font |
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| 260 | ws['H7'].alignment = c_c_alignment |
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| 261 | ws['H7'] = '样本方差' |
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| 262 | ws['H7'].border = f_border |
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| 263 | |||
| 264 | # table_data |
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| 265 | |||
| 266 | for i, value in enumerate(category): |
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| 267 | row = i*2 + 8 |
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| 268 | ws['B' + str(row)].font = name_font |
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| 269 | ws['B' + str(row)].alignment = c_c_alignment |
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| 270 | ws['B' + str(row)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + " )" |
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| 271 | ws['B' + str(row)].border = f_border |
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| 272 | |||
| 273 | ws['B' + str(row + 1)].font = name_font |
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| 274 | ws['B' + str(row + 1)].alignment = c_c_alignment |
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| 275 | ws['B' + str(row + 1)] = "环比" |
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| 276 | ws['B' + str(row + 1)].border = f_border |
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| 277 | |||
| 278 | ws['C' + str(row)].font = name_font |
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| 279 | ws['C' + str(row)].alignment = c_c_alignment |
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| 280 | ws['C' + str(row)] = round(reporting_period_data['means'][i], 2) \ |
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| 281 | if reporting_period_data['means'][i] is not None else '' |
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| 282 | ws['C' + str(row)].border = f_border |
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| 283 | ws['C' + str(row)].number_format = '0.00' |
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| 284 | |||
| 285 | ws['C' + str(row + 1)].font = name_font |
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| 286 | ws['C' + str(row + 1)].alignment = c_c_alignment |
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| 287 | ws['C' + str(row + 1)] = str(round(reporting_period_data['means_increment_rate'][i] * 100, 2)) + "%" \ |
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| 288 | if reporting_period_data['means_increment_rate'][i] is not None else '0.00%' |
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| 289 | ws['C' + str(row + 1)].border = f_border |
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| 290 | |||
| 291 | ws['D' + str(row)].font = name_font |
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| 292 | ws['D' + str(row)].alignment = c_c_alignment |
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| 293 | ws['D' + str(row)] = round(reporting_period_data['medians'][i], 2) \ |
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| 294 | if reporting_period_data['medians'][i] is not None else '' |
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| 295 | ws['D' + str(row)].border = f_border |
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| 296 | ws['D' + str(row)].number_format = '0.00' |
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| 297 | |||
| 298 | ws['D' + str(row + 1)].font = name_font |
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| 299 | ws['D' + str(row + 1)].alignment = c_c_alignment |
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| 300 | ws['D' + str(row + 1)] = str(round(reporting_period_data['medians_increment_rate'][i] * 100, 2)) + "%" \ |
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| 301 | if reporting_period_data['medians_increment_rate'][i] is not None else '0.00%' |
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| 302 | ws['D' + str(row + 1)].border = f_border |
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| 303 | |||
| 304 | ws['E' + str(row)].font = name_font |
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| 305 | ws['E' + str(row)].alignment = c_c_alignment |
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| 306 | ws['E' + str(row)] = round(reporting_period_data['minimums'][i], 2) \ |
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| 307 | if reporting_period_data['minimums'][i] is not None else '' |
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| 308 | ws['E' + str(row)].border = f_border |
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| 309 | ws['E' + str(row)].number_format = '0.00' |
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| 310 | |||
| 311 | ws['E' + str(row + 1)].font = name_font |
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| 312 | ws['E' + str(row + 1)].alignment = c_c_alignment |
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| 313 | ws['E' + str(row + 1)] = str(round(reporting_period_data['minimums_increment_rate'][i] * 100, 2)) + "%" \ |
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| 314 | if reporting_period_data['minimums_increment_rate'][i] is not None else '0.00%' |
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| 315 | ws['E' + str(row + 1)].border = f_border |
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| 316 | |||
| 317 | ws['F' + str(row)].font = name_font |
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| 318 | ws['F' + str(row)].alignment = c_c_alignment |
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| 319 | ws['F' + str(row)] = round(reporting_period_data['maximums'][i], 2) \ |
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| 320 | if reporting_period_data['maximums'][i] is not None else '' |
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| 321 | ws['F' + str(row)].border = f_border |
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| 322 | ws['F' + str(row)].number_format = '0.00' |
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| 323 | |||
| 324 | ws['F' + str(row + 1)].font = name_font |
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| 325 | ws['F' + str(row + 1)].alignment = c_c_alignment |
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| 326 | ws['F' + str(row + 1)] = str(round(reporting_period_data['maximums_increment_rate'][i] * 100, 2)) + "%" \ |
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| 327 | if reporting_period_data['maximums_increment_rate'][i] is not None else '0.00%' |
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| 328 | ws['F' + str(row + 1)].border = f_border |
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| 329 | |||
| 330 | ws['G' + str(row)].font = name_font |
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| 331 | ws['G' + str(row)].alignment = c_c_alignment |
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| 332 | ws['G' + str(row)] = round(reporting_period_data['stdevs'][i], 2) \ |
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| 333 | if reporting_period_data['stdevs'][i] is not None else '' |
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| 334 | ws['G' + str(row)].border = f_border |
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| 335 | ws['G' + str(row)].number_format = '0.00' |
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| 336 | |||
| 337 | ws['G' + str(row + 1)].font = name_font |
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| 338 | ws['G' + str(row + 1)].alignment = c_c_alignment |
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| 339 | ws['G' + str(row + 1)] = str(round(reporting_period_data['stdevs_increment_rate'][i] * 100, 2)) + "%" \ |
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| 340 | if reporting_period_data['stdevs_increment_rate'][i] is not None else '0.00%' |
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| 341 | ws['G' + str(row + 1)].border = f_border |
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| 342 | |||
| 343 | ws['H' + str(row)].font = name_font |
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| 344 | ws['H' + str(row)].alignment = c_c_alignment |
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| 345 | ws['H' + str(row)] = round(reporting_period_data['variances'][i], 2) \ |
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| 346 | if reporting_period_data['variances'][i] is not None else '' |
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| 347 | ws['H' + str(row)].border = f_border |
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| 348 | ws['H' + str(row)].number_format = '0.00' |
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| 349 | |||
| 350 | ws['H' + str(row + 1)].font = name_font |
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| 351 | ws['H' + str(row + 1)].alignment = c_c_alignment |
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| 352 | ws['H' + str(row + 1)] = str(round(reporting_period_data['variances_increment_rate'][i] * 100, 2)) + "%" \ |
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| 353 | if reporting_period_data['variances_increment_rate'][i] is not None else '0.00%' |
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| 354 | ws['H' + str(row + 1)].border = f_border |
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| 355 | ################################################# |
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| 356 | # Second: 报告期消耗 |
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| 357 | # 9 + ca_len * 2: title |
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| 358 | # 10 + ca_len * 2: table title |
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| 359 | # per_unit_area_start_row_number + 2 ~ per_unit_area_start_row_number + 2 + ca_len : table_data |
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| 360 | ################################################# |
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| 361 | |||
| 362 | if has_energy_data_flag: |
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| 363 | names = reporting_period_data['names'] |
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| 364 | ca_len = len(names) |
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| 365 | |||
| 366 | per_unit_area_start_row_number = 9 + ca_len * 2 |
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| 367 | |||
| 368 | ws['B' + str(per_unit_area_start_row_number)].font = title_font |
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| 369 | ws['B' + str(per_unit_area_start_row_number)] = name + ' 单位面积值' + str(report['shopfloor']['area']) + 'M²' |
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| 370 | |||
| 371 | category = reporting_period_data['names'] |
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| 372 | |||
| 373 | # table_title |
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| 374 | ws['B' + str(per_unit_area_start_row_number + 1)].fill = table_fill |
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| 375 | ws['B' + str(per_unit_area_start_row_number + 1)].font = title_font |
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| 376 | ws['B' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment |
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| 377 | ws['B' + str(per_unit_area_start_row_number + 1)] = '报告期' |
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| 378 | ws['B' + str(per_unit_area_start_row_number + 1)].border = f_border |
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| 379 | |||
| 380 | ws['C' + str(per_unit_area_start_row_number + 1)].font = title_font |
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| 381 | ws['C' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment |
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| 382 | ws['C' + str(per_unit_area_start_row_number + 1)] = '算术平均数' |
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| 383 | ws['C' + str(per_unit_area_start_row_number + 1)].border = f_border |
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| 384 | |||
| 385 | ws['D' + str(per_unit_area_start_row_number + 1)].font = title_font |
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| 386 | ws['D' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment |
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| 387 | ws['D' + str(per_unit_area_start_row_number + 1)] = '中位数' |
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| 388 | ws['D' + str(per_unit_area_start_row_number + 1)].border = f_border |
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| 389 | |||
| 390 | ws['E' + str(per_unit_area_start_row_number + 1)].font = title_font |
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| 391 | ws['E' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment |
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| 392 | ws['E' + str(per_unit_area_start_row_number + 1)] = '最小值' |
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| 393 | ws['E' + str(per_unit_area_start_row_number + 1)].border = f_border |
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| 394 | |||
| 395 | ws['F' + str(per_unit_area_start_row_number + 1)].font = title_font |
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| 396 | ws['F' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment |
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| 397 | ws['F' + str(per_unit_area_start_row_number + 1)] = '最大值' |
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| 398 | ws['F' + str(per_unit_area_start_row_number + 1)].border = f_border |
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| 399 | |||
| 400 | ws['G' + str(per_unit_area_start_row_number + 1)].font = title_font |
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| 401 | ws['G' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment |
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| 402 | ws['G' + str(per_unit_area_start_row_number + 1)] = '样本标准差' |
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| 403 | ws['G' + str(per_unit_area_start_row_number + 1)].border = f_border |
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| 404 | |||
| 405 | ws['H' + str(per_unit_area_start_row_number + 1)].font = title_font |
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| 406 | ws['H' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment |
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| 407 | ws['H' + str(per_unit_area_start_row_number + 1)] = '样本方差' |
||
| 408 | ws['H' + str(per_unit_area_start_row_number + 1)].border = f_border |
||
| 409 | |||
| 410 | # table_data |
||
| 411 | |||
| 412 | for i, value in enumerate(category): |
||
| 413 | row_data = per_unit_area_start_row_number + 2 + i |
||
| 414 | ws['B' + str(row_data)].font = name_font |
||
| 415 | ws['B' + str(row_data)].alignment = c_c_alignment |
||
| 416 | ws['B' + str(row_data)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][ |
||
| 417 | i] + "/M²)" |
||
| 418 | ws['B' + str(row_data)].border = f_border |
||
| 419 | |||
| 420 | ws['C' + str(row_data)].font = name_font |
||
| 421 | ws['C' + str(row_data)].alignment = c_c_alignment |
||
| 422 | if reporting_period_data['means_per_unit_area'][i] \ |
||
| 423 | or reporting_period_data['means_per_unit_area'][i] == 0: |
||
| 424 | ws['C' + str(row_data)] = round(reporting_period_data['means_per_unit_area'][i], 2) |
||
| 425 | ws['C' + str(row_data)].border = f_border |
||
| 426 | ws['C' + str(row_data)].number_format = '0.00' |
||
| 427 | |||
| 428 | ws['D' + str(row_data)].font = name_font |
||
| 429 | ws['D' + str(row_data)].alignment = c_c_alignment |
||
| 430 | if reporting_period_data['medians_per_unit_area'][i] \ |
||
| 431 | or reporting_period_data['medians_per_unit_area'][i] == 0: |
||
| 432 | ws['D' + str(row_data)] = round(reporting_period_data['medians_per_unit_area'][i], 2) |
||
| 433 | ws['D' + str(row_data)].border = f_border |
||
| 434 | ws['D' + str(row_data)].number_format = '0.00' |
||
| 435 | |||
| 436 | ws['E' + str(row_data)].font = name_font |
||
| 437 | ws['E' + str(row_data)].alignment = c_c_alignment |
||
| 438 | if reporting_period_data['minimums_per_unit_area'][i] \ |
||
| 439 | or reporting_period_data['minimums_per_unit_area'][i] == 0: |
||
| 440 | ws['E' + str(row_data)] = round(reporting_period_data['minimums_per_unit_area'][i], 2) |
||
| 441 | ws['E' + str(row_data)].border = f_border |
||
| 442 | ws['E' + str(row_data)].number_format = '0.00' |
||
| 443 | |||
| 444 | ws['F' + str(row_data)].font = name_font |
||
| 445 | ws['F' + str(row_data)].alignment = c_c_alignment |
||
| 446 | if reporting_period_data['maximums_per_unit_area'][i] \ |
||
| 447 | or reporting_period_data['maximums_per_unit_area'][i] == 0: |
||
| 448 | ws['F' + str(row_data)] = round(reporting_period_data['maximums_per_unit_area'][i], 2) |
||
| 449 | ws['F' + str(row_data)].border = f_border |
||
| 450 | ws['F' + str(row_data)].number_format = '0.00' |
||
| 451 | |||
| 452 | ws['G' + str(row_data)].font = name_font |
||
| 453 | ws['G' + str(row_data)].alignment = c_c_alignment |
||
| 454 | if (reporting_period_data['stdevs_per_unit_area'][i]) \ |
||
| 455 | or reporting_period_data['stdevs_per_unit_area'][i] == 0: |
||
| 456 | ws['G' + str(row_data)] = round(reporting_period_data['stdevs_per_unit_area'][i], 2) |
||
| 457 | ws['G' + str(row_data)].border = f_border |
||
| 458 | ws['G' + str(row_data)].number_format = '0.00' |
||
| 459 | |||
| 460 | ws['H' + str(row_data)].font = name_font |
||
| 461 | ws['H' + str(row_data)].alignment = c_c_alignment |
||
| 462 | if reporting_period_data['variances_per_unit_area'][i] \ |
||
| 463 | or reporting_period_data['variances_per_unit_area'][i] == 0: |
||
| 464 | ws['H' + str(row_data)] = round(reporting_period_data['variances_per_unit_area'][i], 2) |
||
| 465 | ws['H' + str(row_data)].border = f_border |
||
| 466 | ws['H' + str(row_data)].number_format = '0.00' |
||
| 467 | |||
| 468 | ######################################################## |
||
| 469 | # Third: 详细数据 |
||
| 470 | # detailed_start_row_number~ detailed_start_row_number+time_len: line |
||
| 471 | # detailed_start_row_number+1: table title |
||
| 472 | # i + analysis_end_row_number + 2 + 6 * ca_len~: table_data |
||
| 473 | ######################################################## |
||
| 474 | has_timestamps_flag = True |
||
| 475 | if "timestamps" not in reporting_period_data.keys() or \ |
||
| 476 | reporting_period_data['timestamps'] is None or \ |
||
| 477 | len(reporting_period_data['timestamps']) == 0: |
||
| 478 | has_timestamps_flag = False |
||
| 479 | |||
| 480 | timestamps = reporting_period_data['timestamps'][0] |
||
| 481 | names = reporting_period_data['names'] |
||
| 482 | ca_len = len(names) |
||
| 483 | time_len = len(timestamps) |
||
| 484 | parameters_names_len = len(report['parameters']['names']) |
||
| 485 | parameters_parameters_datas_len = 0 |
||
| 486 | analysis_end_row_number = 12 + 3 * ca_len |
||
| 487 | current_row_number = analysis_end_row_number |
||
| 488 | values = reporting_period_data['values'] |
||
| 489 | if has_timestamps_flag: |
||
| 490 | for i in range(0, parameters_names_len): |
||
| 491 | if len(report['parameters']['timestamps'][i]) == 0: |
||
| 492 | continue |
||
| 493 | parameters_parameters_datas_len += 1 |
||
| 494 | detail_data_table_start_row_number = current_row_number + (ca_len + parameters_parameters_datas_len) * 6 + 2 |
||
| 495 | |||
| 496 | ws['B' + str(current_row_number)].font = title_font |
||
| 497 | ws['B' + str(current_row_number)] = name + ' 详细数据' |
||
| 498 | # table_title |
||
| 499 | ws['B' + str(detail_data_table_start_row_number)].fill = table_fill |
||
| 500 | ws['B' + str(detail_data_table_start_row_number)].font = name_font |
||
| 501 | ws['B' + str(detail_data_table_start_row_number)].alignment = c_c_alignment |
||
| 502 | ws['B' + str(detail_data_table_start_row_number)] = "时间" |
||
| 503 | ws['B' + str(detail_data_table_start_row_number)].border = f_border |
||
| 504 | |||
| 505 | for i in range(0, ca_len): |
||
| 506 | col = chr(ord('C') + i) |
||
| 507 | |||
| 508 | ws[col + str(detail_data_table_start_row_number)].font = name_font |
||
| 509 | ws[col + str(detail_data_table_start_row_number)].alignment = c_c_alignment |
||
| 510 | ws[col + str(detail_data_table_start_row_number)] = \ |
||
| 511 | names[i] + " - (" + reporting_period_data['units'][i] + ")" |
||
| 512 | ws[col + str(detail_data_table_start_row_number)].border = f_border |
||
| 513 | # table_date |
||
| 514 | for i in range(0, time_len): |
||
| 515 | rows = i + detail_data_table_start_row_number + 1 |
||
| 516 | |||
| 517 | ws['B' + str(rows)].font = name_font |
||
| 518 | ws['B' + str(rows)].alignment = c_c_alignment |
||
| 519 | ws['B' + str(rows)] = timestamps[i] |
||
| 520 | ws['B' + str(rows)].border = f_border |
||
| 521 | |||
| 522 | for index in range(0, ca_len): |
||
| 523 | col = chr(ord('C') + index) |
||
| 524 | |||
| 525 | ws[col + str(rows)].font = name_font |
||
| 526 | ws[col + str(rows)].alignment = c_c_alignment |
||
| 527 | ws[col + str(rows)] = round(values[index][i], 2) |
||
| 528 | ws[col + str(rows)].number_format = '0.00' |
||
| 529 | ws[col + str(rows)].border = f_border |
||
| 530 | |||
| 531 | # 小计 |
||
| 532 | row_subtotals = detail_data_table_start_row_number + 1 + time_len |
||
| 533 | ws['B' + str(row_subtotals)].font = name_font |
||
| 534 | ws['B' + str(row_subtotals)].alignment = c_c_alignment |
||
| 535 | ws['B' + str(row_subtotals)] = "小计" |
||
| 536 | ws['B' + str(row_subtotals)].border = f_border |
||
| 537 | |||
| 538 | for i in range(0, ca_len): |
||
| 539 | col = chr(ord('C') + i) |
||
| 540 | |||
| 541 | ws[col + str(row_subtotals)].font = name_font |
||
| 542 | ws[col + str(row_subtotals)].alignment = c_c_alignment |
||
| 543 | ws[col + str(row_subtotals)] = round(reporting_period_data['subtotals'][i], 2) |
||
| 544 | ws[col + str(row_subtotals)].border = f_border |
||
| 545 | ws[col + str(row_subtotals)].number_format = '0.00' |
||
| 546 | |||
| 547 | ######################################################## |
||
| 548 | # third: LineChart |
||
| 549 | # LineChart requires data from the detailed data table in the Excel file |
||
| 550 | # so print the detailed data table first and then print LineChart |
||
| 551 | ######################################################## |
||
| 552 | for i in range(0, ca_len): |
||
| 553 | |||
| 554 | line = LineChart() |
||
| 555 | line.title = "报告期消耗" + " - " + names[i] + "(" + reporting_period_data['units'][i] + ")" |
||
| 556 | line.style = 10 |
||
| 557 | line.x_axis.majorTickMark = 'in' |
||
| 558 | line.y_axis.majorTickMark = 'in' |
||
| 559 | line.smooth = True |
||
| 560 | line.x_axis.crosses = 'min' |
||
| 561 | line.height = 8.25 |
||
| 562 | line.width = 24 |
||
| 563 | line.dLbls = DataLabelList() |
||
| 564 | line.dLbls.dLblPos = 't' |
||
| 565 | line.dLbls.showVal = True |
||
| 566 | times = Reference(ws, min_col=2, min_row=detail_data_table_start_row_number + 1, |
||
| 567 | max_row=detail_data_table_start_row_number + 1 + time_len) |
||
| 568 | line_data = Reference(ws, min_col=3 + i, min_row=detail_data_table_start_row_number, |
||
| 569 | max_row=detail_data_table_start_row_number + time_len) |
||
| 570 | line.add_data(line_data, titles_from_data=True) |
||
| 571 | line.set_categories(times) |
||
| 572 | ser = line.series[0] |
||
| 573 | ser.marker.symbol = "diamond" |
||
| 574 | chart_col = 'B' |
||
| 575 | chart_cell = str(analysis_end_row_number + 6 * i) |
||
| 576 | ws.add_chart(line, chart_col + chart_cell) |
||
| 577 | |||
| 578 | ########################################## |
||
| 579 | has_parameters_names_and_timestamps_and_values_data = True |
||
| 580 | |||
| 581 | ca_len = len(report['reporting_period']['names']) |
||
| 582 | current_sheet_parameters_row_number = current_row_number + ca_len * 6 |
||
| 583 | if 'parameters' not in report.keys() or \ |
||
| 584 | report['parameters'] is None or \ |
||
| 585 | 'names' not in report['parameters'].keys() or \ |
||
| 586 | report['parameters']['names'] is None or \ |
||
| 587 | len(report['parameters']['names']) == 0 or \ |
||
| 588 | 'timestamps' not in report['parameters'].keys() or \ |
||
| 589 | report['parameters']['timestamps'] is None or \ |
||
| 590 | len(report['parameters']['timestamps']) == 0 or \ |
||
| 591 | 'values' not in report['parameters'].keys() or \ |
||
| 592 | report['parameters']['values'] is None or \ |
||
| 593 | len(report['parameters']['values']) == 0 or \ |
||
| 594 | timestamps_data_all_equal_0(report['parameters']['timestamps']): |
||
| 595 | has_parameters_names_and_timestamps_and_values_data = False |
||
| 596 | if has_parameters_names_and_timestamps_and_values_data: |
||
| 597 | |||
| 598 | ############################### |
||
| 599 | # new worksheet |
||
| 600 | ############################### |
||
| 601 | |||
| 602 | parameters_data = report['parameters'] |
||
| 603 | |||
| 604 | parameters_names_len = len(parameters_data['names']) |
||
| 605 | |||
| 606 | parameters_ws = wb.create_sheet('相关参数') |
||
| 607 | |||
| 608 | parameters_timestamps_data_max_len = \ |
||
| 609 | get_parameters_timestamps_lists_max_len(list(parameters_data['timestamps'])) |
||
| 610 | |||
| 611 | # Row height |
||
| 612 | parameters_ws.row_dimensions[1].height = 102 |
||
| 613 | for i in range(2, 7 + 1): |
||
| 614 | parameters_ws.row_dimensions[i].height = 42 |
||
| 615 | |||
| 616 | for i in range(8, parameters_timestamps_data_max_len + 10): |
||
| 617 | parameters_ws.row_dimensions[i].height = 60 |
||
| 618 | |||
| 619 | # Col width |
||
| 620 | parameters_ws.column_dimensions['A'].width = 1.5 |
||
| 621 | |||
| 622 | parameters_ws.column_dimensions['B'].width = 25.0 |
||
| 623 | |||
| 624 | for i in range(3, 12 + parameters_names_len * 3): |
||
| 625 | parameters_ws.column_dimensions[format_cell.get_column_letter(i)].width = 15.0 |
||
| 626 | |||
| 627 | # Img |
||
| 628 | img = Image("excelexporters/myems.png") |
||
| 629 | img.width = img.width * 0.85 |
||
| 630 | img.height = img.height * 0.85 |
||
| 631 | # img = Image("myems.png") |
||
| 632 | parameters_ws.add_image(img, 'B1') |
||
| 633 | |||
| 634 | # Title |
||
| 635 | parameters_ws.row_dimensions[3].height = 60 |
||
| 636 | |||
| 637 | parameters_ws['B3'].font = name_font |
||
| 638 | parameters_ws['B3'].alignment = b_r_alignment |
||
| 639 | parameters_ws['B3'] = 'Name:' |
||
| 640 | parameters_ws['C3'].border = b_border |
||
| 641 | parameters_ws['C3'].alignment = b_c_alignment |
||
| 642 | parameters_ws['C3'].font = name_font |
||
| 643 | parameters_ws['C3'] = name |
||
| 644 | |||
| 645 | parameters_ws['D3'].font = name_font |
||
| 646 | parameters_ws['D3'].alignment = b_r_alignment |
||
| 647 | parameters_ws['D3'] = 'Period:' |
||
| 648 | parameters_ws['E3'].border = b_border |
||
| 649 | parameters_ws['E3'].alignment = b_c_alignment |
||
| 650 | parameters_ws['E3'].font = name_font |
||
| 651 | parameters_ws['E3'] = period_type |
||
| 652 | |||
| 653 | parameters_ws['F3'].font = name_font |
||
| 654 | parameters_ws['F3'].alignment = b_r_alignment |
||
| 655 | parameters_ws['F3'] = 'Date:' |
||
| 656 | parameters_ws['G3'].border = b_border |
||
| 657 | parameters_ws['G3'].alignment = b_c_alignment |
||
| 658 | parameters_ws['G3'].font = name_font |
||
| 659 | parameters_ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local |
||
| 660 | parameters_ws.merge_cells("G3:H3") |
||
| 661 | |||
| 662 | parameters_ws_current_row_number = 6 |
||
| 663 | |||
| 664 | parameters_ws['B' + str(parameters_ws_current_row_number)].font = title_font |
||
| 665 | parameters_ws['B' + str(parameters_ws_current_row_number)] = name + ' 相关参数' |
||
| 666 | |||
| 667 | parameters_ws_current_row_number += 1 |
||
| 668 | |||
| 669 | parameters_table_start_row_number = parameters_ws_current_row_number |
||
| 670 | |||
| 671 | parameters_ws.row_dimensions[parameters_ws_current_row_number].height = 80 |
||
| 672 | |||
| 673 | parameters_ws_current_row_number += 1 |
||
| 674 | |||
| 675 | table_current_col_number = 'B' |
||
| 676 | |||
| 677 | for i in range(0, parameters_names_len): |
||
| 678 | |||
| 679 | if len(parameters_data['timestamps'][i]) == 0: |
||
| 680 | continue |
||
| 681 | |||
| 682 | parameters_ws[table_current_col_number + str(parameters_ws_current_row_number - 1)].fill = table_fill |
||
| 683 | parameters_ws[table_current_col_number + str(parameters_ws_current_row_number - 1)].border = f_border |
||
| 684 | |||
| 685 | col = decimal_to_column(column_to_decimal(table_current_col_number) + 1) |
||
| 686 | |||
| 687 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].fill = table_fill |
||
| 688 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].border = f_border |
||
| 689 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].font = name_font |
||
| 690 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].alignment = c_c_alignment |
||
| 691 | parameters_ws[col + str(parameters_ws_current_row_number - 1)] = parameters_data['names'][i] |
||
| 692 | |||
| 693 | table_current_row_number = parameters_ws_current_row_number |
||
| 694 | |||
| 695 | for j, value in enumerate(list(parameters_data['timestamps'][i])): |
||
| 696 | col = table_current_col_number |
||
| 697 | |||
| 698 | parameters_ws[col + str(table_current_row_number)].border = f_border |
||
| 699 | parameters_ws[col + str(table_current_row_number)].font = title_font |
||
| 700 | parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment |
||
| 701 | parameters_ws[col + str(table_current_row_number)] = value |
||
| 702 | |||
| 703 | col = decimal_to_column(column_to_decimal(col) + 1) |
||
| 704 | |||
| 705 | parameters_ws[col + str(table_current_row_number)].border = f_border |
||
| 706 | parameters_ws[col + str(table_current_row_number)].font = title_font |
||
| 707 | parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment |
||
| 708 | parameters_ws[col + str(table_current_row_number)] = round(parameters_data['values'][i][j], 2) |
||
| 709 | |||
| 710 | table_current_row_number += 1 |
||
| 711 | |||
| 712 | table_current_col_number = decimal_to_column(column_to_decimal(table_current_col_number) + 3) |
||
| 713 | |||
| 714 | ######################################################## |
||
| 715 | # parameters chart and parameters table |
||
| 716 | ######################################################## |
||
| 717 | |||
| 718 | ws['B' + str(current_sheet_parameters_row_number)].font = title_font |
||
| 719 | ws['B' + str(current_sheet_parameters_row_number)] = name + ' 相关参数' |
||
| 720 | |||
| 721 | current_sheet_parameters_row_number += 1 |
||
| 722 | |||
| 723 | chart_start_row_number = current_sheet_parameters_row_number |
||
| 724 | |||
| 725 | col_index = 0 |
||
| 726 | |||
| 727 | for i in range(0, parameters_names_len): |
||
| 728 | |||
| 729 | if len(parameters_data['timestamps'][i]) == 0: |
||
| 730 | continue |
||
| 731 | |||
| 732 | line = LineChart() |
||
| 733 | data_col = 3 + col_index * 3 |
||
| 734 | labels_col = 2 + col_index * 3 |
||
| 735 | col_index += 1 |
||
| 736 | line.title = '相关参数 - ' + \ |
||
| 737 | parameters_ws.cell(row=parameters_table_start_row_number, column=data_col).value |
||
| 738 | labels = Reference(parameters_ws, min_col=labels_col, min_row=parameters_table_start_row_number + 1, |
||
| 739 | max_row=(len(parameters_data['timestamps'][i]) + parameters_table_start_row_number)) |
||
| 740 | line_data = Reference(parameters_ws, min_col=data_col, min_row=parameters_table_start_row_number, |
||
| 741 | max_row=(len(parameters_data['timestamps'][i]) + parameters_table_start_row_number)) |
||
| 742 | line.add_data(line_data, titles_from_data=True) |
||
| 743 | line.set_categories(labels) |
||
| 744 | line_data = line.series[0] |
||
| 745 | line_data.marker.symbol = "circle" |
||
| 746 | line_data.smooth = True |
||
| 747 | line.x_axis.crosses = 'min' |
||
| 748 | line.height = 8.25 |
||
| 749 | line.width = 24 |
||
| 750 | line.dLbls = DataLabelList() |
||
| 751 | line.dLbls.dLblPos = 't' |
||
| 752 | line.dLbls.showVal = False |
||
| 753 | line.dLbls.showPercent = False |
||
| 754 | chart_col = 'B' |
||
| 755 | chart_cell = chart_col + str(chart_start_row_number) |
||
| 756 | chart_start_row_number += 6 |
||
| 757 | ws.add_chart(line, chart_cell) |
||
| 758 | |||
| 759 | current_sheet_parameters_row_number = chart_start_row_number |
||
| 760 | |||
| 761 | current_sheet_parameters_row_number += 1 |
||
| 762 | |||
| 763 | filename = str(uuid.uuid4()) + '.xlsx' |
||
| 764 | wb.save(filename) |
||
| 765 | |||
| 766 | return filename |
||
| 767 |
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