note = open(full_path, 'r+', encoding='ANSI')
时间: 2024-01-05 13:01:59 浏览: 37
这段代码使用open函数打开一个文件,并将文件对象赋值给变量note。full_path是文件的完整路径,'r+'表示以读写模式打开文件。encoding='ANSI'指定了文件的编码方式为ANSI。请注意,ANSI并不是Python内置的编码方式,通常使用的是UTF-8或其他常见的编码方式。如果你想指定ANSI编码,请确保文件实际上是以ANSI编码保存的。
相关问题
FOOD = 0 FREE_PLACE = (BLOCK_W + 1) * (BLOCK_H + 1) BODY_PLACE = 2 * FREE_PLACE写一段注释
This code represents a mathematical calculation of the total number of free places and body places in a grid of size BLOCK_W x BLOCK_H. The variable FOOD is not used in this calculation.
The value of FREE_PLACE is calculated by multiplying the number of rows (BLOCK_H - 1) by the number of columns (BLOCK_W - 1). This gives us the total number of spaces that are not occupied by the snake's body or the food.
The value of BODY_PLACE is calculated by multiplying the total number of spaces in the grid (BLOCK_W x BLOCK_H) by 2, and then subtracting the value of FREE_PLACE. This gives us the total number of spaces that are occupied by the snake's body.
It's important to note that this calculation assumes that the snake and the food each occupy a single space in the grid. If the snake or the food can occupy multiple spaces, the calculation would need to be adjusted accordingly.
請你幫我檢from flask import Flask, render_template, request, redirect import openpyxl app = Flask(__name__) # 首页,录入数据页面 @app.route('/', methods=['GET', 'POST']) def index(): if request.method == 'POST': # 从表单中获取数据 confirm_date = request.form['confirm_date'] shift = request.form['shift'] machine_model = request.form['machine_model'] issue = request.form['issue'] issue_qty = request.form['issue_qty'] note = request.form['note'] # 打开Excel文件并写入数据 wb = openpyxl.load_workbook('D:/data.xlsx') ws = wb.active row_count = ws.max_row ws.cell(row=row_count+1, column=1, value=confirm_date) ws.cell(row=row_count+1, column=2, value=shift) ws.cell(row=row_count+1, column=3, value=machine_model) ws.cell(row=row_count+1, column=4, value=issue) ws.cell(row=row_count+1, column=5, value=int(issue_qty)) ws.cell(row=row_count+1, column=6, value=note) wb.save('D:/data.xlsx') return redirect('/') else: return render_template('index.html') # 查询记录页面 @app.route('/search_record', methods=['GET', 'POST']) def search_record(): if request.method == 'POST': # 从表单中获取查询条件 start_date = request.form['start_date'] end_date = request.form['end_date'] machine_model = request.form['machine_model'] # 打开Excel文件并查询数据 wb = openpyxl.load_workbook('D:/data.xlsx') ws = wb.active data = [] for row in ws.iter_rows(min_row=2): if start_date <= str(row[0].value) <= end_date: if row[2].value == machine_model or machine_model == '全部': data.append([row[0].value, row[1].value, row[2].value, row[3].value, row[4].value, row[5].value]) return render_template('search_record.html', data=data) else: return render_template('search_record.html') if __name__ == '__main__': app.run(debug=True,host="0.0.0.0")
这段代码看起来没有语法错误,但需要确保您已经正确安装了 Flask 和 openpyxl 库。此外,需要确保您的 Excel 文件 'D:/data.xlsx' 存在并且可写。在使用 openpyxl 时,建议您使用上下文管理器来打开并保存文件,这可以确保在使用文件后正确关闭文件。下面是更新后的代码:
```
from flask import Flask, render_template, request, redirect
import openpyxl
app = Flask(__name__)
# 首页,录入数据页面
@app.route('/', methods=['GET', 'POST'])
def index():
if request.method == 'POST':
# 从表单中获取数据
confirm_date = request.form['confirm_date']
shift = request.form['shift']
machine_model = request.form['machine_model']
issue = request.form['issue']
issue_qty = request.form['issue_qty']
note = request.form['note']
# 打开Excel文件并写入数据
with openpyxl.load_workbook('D:/data.xlsx') as wb:
ws = wb.active
row_count = ws.max_row
ws.cell(row=row_count+1, column=1, value=confirm_date)
ws.cell(row=row_count+1, column=2, value=shift)
ws.cell(row=row_count+1, column=3, value=machine_model)
ws.cell(row=row_count+1, column=4, value=issue)
ws.cell(row=row_count+1, column=5, value=int(issue_qty))
ws.cell(row=row_count+1, column=6, value=note)
wb.save('D:/data.xlsx')
return redirect('/')
else:
return render_template('index.html')
# 查询记录页面
@app.route('/search_record', methods=['GET', 'POST'])
def search_record():
if request.method == 'POST':
# 从表单中获取查询条件
start_date = request.form['start_date']
end_date = request.form['end_date']
machine_model = request.form['machine_model']
# 打开Excel文件并查询数据
with openpyxl.load_workbook('D:/data.xlsx') as wb:
ws = wb.active
data = []
for row in ws.iter_rows(min_row=2):
if start_date <= str(row[0].value) <= end_date:
if row[2].value == machine_model or machine_model == '全部':
data.append([row[0].value, row[1].value, row[2].value, row[3].value, row[4].value, row[5].value])
return render_template('search_record.html', data=data)
else:
return render_template('search_record.html')
if __name__ == '__main__':
app.run(debug=True, host="0.0.0.0")
```
注意:在生产环境中,不建议使用 Flask 的调试模式。如果您要在生产环境中运行应用程序,请将 `debug=True` 更改为 `debug=False`。