-
-
Notifications
You must be signed in to change notification settings - Fork 33
/
Copy pathxlsxr.py
202 lines (173 loc) · 6.66 KB
/
xlsxr.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
"""
pyexcel_xlsx.xlsxr
~~~~~~~~~~~~~~~~~~~
Read xlsx file format using openpyxl
:copyright: (c) 2015-2017 by Onni Software Ltd & its contributors
:license: New BSD License
"""
import openpyxl
from pyexcel_io.book import BookReader
from pyexcel_io.sheet import SheetReader
from pyexcel_io._compact import OrderedDict, irange
class FastSheet(SheetReader):
"""
Iterate through rows
"""
@property
def name(self):
"""sheet name"""
return self._native_sheet.title
def row_iterator(self):
"""
openpyxl row iterator
http://openpyxl.readthedocs.io/en/default/optimized.html
"""
for row in self._native_sheet.rows:
yield row
def column_iterator(self, row):
"""
a generator for the values in a row
"""
for cell in row:
yield cell.value
class MergedCell(object):
def __init__(self, cell_ranges):
self.__rl, self.__cl = cell_ranges.bounds[:2]
self.__rh, self.__ch = cell_ranges.bounds[2:]
self.value = None
def register_cells(self, registry):
for rowx in irange(self.__rl, self.__rh+1):
for colx in irange(self.__cl, self.__ch+1):
key = "%s-%s" % (rowx, colx)
registry[key] = self
def bottom_row(self):
return self.__rh
def right_column(self):
return self.__ch
def convert_coordinate(cell_coordinate_with_letter):
xy = openpyxl.utils.coordinate_from_string(cell_coordinate_with_letter)
col = openpyxl.utils.column_index_from_string(xy[0])
row = xy[1]
return row, col
class SlowSheet(FastSheet):
"""
This sheet will be slower because it does not use readonly sheet
"""
def __init__(self, sheet, **keywords):
SheetReader.__init__(self, sheet, **keywords)
self.__merged_cells = {}
self.max_row = 0
self.max_column = 0
self.__sheet_max_row = sheet.max_row
self.__sheet_max_column = sheet.max_column
for ranges_str in sheet.merged_cells.ranges[:]:
merged_cells = MergedCell(ranges_str)
merged_cells.register_cells(self.__merged_cells)
if self.max_row < merged_cells.bottom_row():
self.max_row = merged_cells.bottom_row()
if self.max_column < merged_cells.right_column():
self.max_column = merged_cells.right_column()
def row_iterator(self):
"""
skip hidden rows
"""
for row_index, row in enumerate(self._native_sheet.rows, 1):
if self._native_sheet.row_dimensions[row_index].hidden is False:
yield (row, row_index)
if self.max_row > self.__sheet_max_row:
for i in range(self.__sheet_max_row, self.max_row):
data = [None] * self.__sheet_max_column
yield (data, i+1)
def column_iterator(self, row_struct):
"""
skip hidden columns
"""
row, row_index = row_struct
for column_index, cell in enumerate(row, 1):
letter = openpyxl.utils.get_column_letter(column_index)
if self._native_sheet.column_dimensions[letter].hidden is False:
if cell:
value = cell.value
else:
value = ''
if value is None:
value = ''
value = self._merged_cells(row_index, column_index, value)
yield value
if self.max_column > self.__sheet_max_column:
for i in range(self.__sheet_max_column, self.max_column):
value = self._merged_cells(row_index, i+1, '')
yield value
def _merged_cells(self, row, column, value):
ret = value
if self.__merged_cells:
merged_cell = self.__merged_cells.get("%s-%s" % (
row, column))
if merged_cell:
if merged_cell.value:
ret = merged_cell.value
else:
merged_cell.value = value
return ret
class XLSXBook(BookReader):
"""
Open xlsx as read only mode
"""
def open(self, file_name, skip_hidden_sheets=True,
detect_merged_cells=False,
skip_hidden_row_and_column=True, **keywords):
BookReader.open(self, file_name, **keywords)
self.skip_hidden_sheets = skip_hidden_sheets
self.skip_hidden_row_and_column = skip_hidden_row_and_column
self.detect_merged_cells = detect_merged_cells
self._load_the_excel_file(file_name)
def open_stream(self, file_stream, skip_hidden_sheets=True,
detect_merged_cells=False,
skip_hidden_row_and_column=True, **keywords):
BookReader.open_stream(self, file_stream, **keywords)
self.skip_hidden_sheets = skip_hidden_sheets
self.skip_hidden_row_and_column = skip_hidden_row_and_column
self.detect_merged_cells = detect_merged_cells
self._load_the_excel_file(file_stream)
def read_sheet_by_name(self, sheet_name):
sheet = self._native_book.get_sheet_by_name(sheet_name)
if sheet is None:
raise ValueError("%s cannot be found" % sheet_name)
else:
return self.read_sheet(sheet)
def read_sheet_by_index(self, sheet_index):
names = self._native_book.sheetnames
length = len(names)
if sheet_index < length:
return self.read_sheet_by_name(names[sheet_index])
else:
raise IndexError("Index %d of out bound %d" % (
sheet_index,
length))
def read_all(self):
result = OrderedDict()
for sheet in self._native_book:
if self.skip_hidden_sheets and sheet.sheet_state == 'hidden':
continue
data_dict = self.read_sheet(sheet)
result.update(data_dict)
return result
def read_sheet(self, native_sheet):
if self.skip_hidden_row_and_column or self.detect_merged_cells:
sheet = SlowSheet(native_sheet, **self._keywords)
else:
sheet = FastSheet(native_sheet, **self._keywords)
return {sheet.name: sheet.to_array()}
def close(self):
self._native_book.close()
self._native_book = None
def _load_the_excel_file(self, file_alike_object):
read_only_flag = True
if self.skip_hidden_row_and_column:
read_only_flag = False
data_only_flag = True
if self.detect_merged_cells:
data_only_flag = False
self._native_book = openpyxl.load_workbook(
filename=file_alike_object, data_only=data_only_flag,
read_only=read_only_flag)