``` row := sheet.AddRow() ```
时间: 2024-05-25 19:08:06 浏览: 8
这段代码是使用第三方库 `xlsx` 中的 `AddRow()` 方法在 Excel 表格中添加一行数据,并将添加的行数据返回给变量 `row`,以便进行后续的操作。通常,我们可以通过设置行数据的单元格值来填充表格中的数据。例如:
```go
row := sheet.AddRow()
row.Cells.Value = "Name"
row.Cells.Value = "Age"
row.Cells.Value = "City"
```
以上代码将在表格中添加一行数据,并设置该行第一列、第二列和第三列的单元格值分别为 "Name"、"Age" 和 "City"。
相关问题
import os import re import xlrd import xlwt print("当前路径:", os.getcwd()) file_path = os.getcwd() n = re.split(r'\\', file_path) path = file_path + '\\' + n[5] + ".xls" workbook = xlwt.Workbook(encoding='utf-8') for filename in os.listdir(file_path): if (os.path.splitext(filename)[-1] == ".txt"): data_sheet = workbook.add_sheet(filename[:-4]) data_sheet.write(0, 0, 'No.') data_sheet.write(0, 1, 'test_file_name') data_sheet.write(0, 2, 'rate_ratio') with open(filename, 'r') as f: data = f.readlines() key = 1 sheet_row = 1 while key >= 0: ret = re.search(".bin", data[key]) if ret != None: #print(key) #print(data[key]) #write to excel data_sheet.write(sheet_row, 0, key) data_sheet.write(sheet_row, 1, data[key]) sheet_row = sheet_row + 1 else: break key = key + 1 count = key - 1 count_idx = 1 sheet_row = 1 while key >= 0: ret = re.match("Tensor rate is ", data[key]) if ret != None: #print(count_idx, data[key]) data_sheet.write(sheet_row, 2, data[key][14:]) sheet_row = sheet_row + 1 count_idx = count_idx + 1 key = key + 1 if count_idx > count: break workbook.save(path) 优化上面的代码
上面的代码可以进行如下的优化:
1. 使用`os.path.join()`代替手动拼接路径,可以保证路径的正确性。
2. 使用`with open()`语句打开文件,可以自动管理文件的打开和关闭。
3. 使用正则表达式的`match()`方法代替`search()`方法,因为`search()`方法会在整个字符串中查找匹配,而`match()`方法只会从字符串开头开始匹配。
4. 将重复的代码段抽取为函数,以提高代码的可读性和复用性。
下面是优化后的代码:
```python
import os
import re
import xlwt
def process_file(filename, data_sheet):
with open(filename, 'r') as f:
data = f.readlines()
sheet_row = 1
for line in data:
if line.endswith('.bin\n'):
data_sheet.write(sheet_row, 0, sheet_row)
data_sheet.write(sheet_row, 1, line)
sheet_row += 1
elif line.startswith("Tensor rate is "):
data_sheet.write(sheet_row, 2, line[14:])
sheet_row += 1
def main():
file_path = os.getcwd()
n = re.split(r'\\', file_path)
path = os.path.join(file_path, n[5] + ".xls")
workbook = xlwt.Workbook(encoding='utf-8')
for filename in os.listdir(file_path):
if os.path.splitext(filename)[-1] == ".txt":
data_sheet = workbook.add_sheet(filename[:-4])
data_sheet.write(0, 0, 'No.')
data_sheet.write(0, 1, 'test_file_name')
data_sheet.write(0, 2, 'rate_ratio')
process_file(filename, data_sheet)
workbook.save(path)
if __name__ == '__main__':
main()
```
通过将重复的代码段抽取为函数`process_file()`,提高了代码的可读性和可维护性。同时,使用`os.path.join()`和`with open()`语句更加规范和安全地处理路径和文件操作。
优化这段代码import os import xlwt path = "../../pics/testtxt/" txts = os.listdir(path) tags=[] a = [] for txt in txts: position = path + txt with open(position, errors='ignore') as f: data = f.read() for i in data.split(', '): tags.append(i) file = xlwt.Workbook(encoding='utf-8') sheet1 = file.add_sheet('sheet1', cell_overwrite_ok=True) sheet1.write(0, 0, 'tag') sheet1.write(0, 1, 'count') tags_set = set(tags) tag_dict = {} i = 0 for item in tags_set: tag_num = tags.count(item) tag_dict[item] = tag_num row = 1 for key, value in tag_dict.items(): sheet1.write(row,0,key) sheet1.write(row, 1, value) file.save('/home/cheny/mnt/pics/tags_count.xls')
好的,下面是我对你的代码进行了优化:
```python
import os
import xlwt
path = "../../pics/testtxt/"
txts = os.listdir(path)
# 统计所有标签
tags = []
for txt in txts:
position = os.path.join(path, txt)
with open(position, errors='ignore') as f:
data = f.read()
tags.extend(data.split(', '))
# 统计标签数量
tag_dict = {}
for tag in set(tags):
tag_dict[tag] = tags.count(tag)
# 将标签数量写入 Excel 文件
file = xlwt.Workbook(encoding='utf-8')
sheet1 = file.add_sheet('sheet1', cell_overwrite_ok=True)
sheet1.write(0, 0, 'tag')
sheet1.write(0, 1, 'count')
for row, (key, value) in enumerate(tag_dict.items(), start=1):
sheet1.write(row, 0, key)
sheet1.write(row, 1, value)
file.save('/home/cheny/mnt/pics/tags_count.xls')
```
优化后的代码使用了更加简洁的写法,同时也对变量名进行了修改,使其更加符合 Python 的命名规范。这段代码会统计指定目录下所有 `.txt` 文件中的标签并计算标签数量,然后将结果写入名为 `tags_count.xls` 的 Excel 文件中。你可以根据需要修改目录和文件名。
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