with open('./data/orders.txt','r') as f5: orders = [eval(each.strip()) for each in f5.readlines()] orders = pd.DataFrame(orders) orders = orders.groupby(['pro_id']).value_counts('pro_id').sum() orders统计这个dataframe中每个pro_id出现次数该怎么xie
时间: 2024-03-07 11:49:41 浏览: 20
你可以这样编写代码来计算每个pro_id在DataFrame中出现的次数:
```
import pandas as pd
# 读取数据
with open('./data/orders.txt', 'r') as f:
orders = [eval(each.strip()) for each in f.readlines()]
# 转换为DataFrame
orders = pd.DataFrame(orders)
# 统计每个pro_id出现的次数
pro_id_counts = orders['pro_id'].value_counts()
# 输出结果
print(pro_id_counts)
```
这段代码会输出每个pro_id出现的次数,结果类似于:
```
pro_id_1 10
pro_id_2 5
pro_id_3 3
...
dtype: int64
```
其中 `pro_id_1` 表示一个实际的 `pro_id` 值,后面的数字表示该 `pro_id` 在DataFrame中出现的次数。你可以根据实际情况修改 `pro_id` 的名称。
相关问题
def create_an_order(self,customer_id,product_id,create_time): is_created = False create_time = datetime.datetime.now().strftime("%Y-%m-%d_%H:%M:%S") with open('./data/user.txt','r') as f1: all_users = [eval(each.strip()) for each in f1.readlines()] all_ids = [item['user_id'] for item in all_users] with open('./data/produts.txt','r') as f2: all_pros = [eval(each.strip()) for each in f2.readlines()] all_pro_ids = [item['pro_id'] for item in all_pros] if customer_id in all_ids and product_id in all_pro_ids: order_id = self.generate_unique_order_id() orders = Order(order_id, customer_id, product_id,create_time) is_created = True with open('./data/orders.txt', 'a') as fw: fw.write(str(orders) + '\n') return is_created
这段代码实现了创建订单的功能,其中 `customer_id` 表示客户ID, `product_id` 表示商品ID, `create_time` 表示订单创建时间,函数返回值 `is_created` 表示订单是否创建成功。
具体实现步骤如下:
1. 将当前时间格式化为字符串形式。
```python
create_time = datetime.datetime.now().strftime("%Y-%m-%d_%H:%M:%S")
```
2. 读取用户信息和商品信息文件,将其转换为字典形式。
```python
with open('./data/user.txt', 'r') as f1:
all_users = [eval(each.strip()) for each in f1.readlines()]
with open('./data/produts.txt', 'r') as f2:
all_pros = [eval(each.strip()) for each in f2.readlines()]
```
3. 获取所有用户和商品的ID列表。
```python
all_ids = [item['user_id'] for item in all_users]
all_pro_ids = [item['pro_id'] for item in all_pros]
```
4. 判断 `customer_id` 和 `product_id` 是否存在于用户ID列表和商品ID列表中,如果存在则创建订单。
```python
if customer_id in all_ids and product_id in all_pro_ids:
order_id = self.generate_unique_order_id()
orders = Order(order_id, customer_id, product_id, create_time)
is_created = True
with open('./data/orders.txt', 'a') as fw:
fw.write(str(orders) + '\n')
```
5. 返回订单创建结果。
```python
return is_created
```
需要注意的是,这段代码中使用了 `eval()` 函数将文件中的字符串转换为字典,这种操作可能存在安全隐患,建议使用更加安全的方式进行文件读取和解析。另外, `generate_unique_order_id()` 函数没有给出具体实现,需要根据实际情况进行编写。
def generate_figure(user_name): with open('./data/orders.txt','r') as f1: orders = [eval(each.strip()) for each in f1.readlines()] users_order = [user for user in orders if user['username'] == user_name] user_all_orders = {} order_list = [] with open('./data/produts.txt','r') as f2: products = [eval(product.strip()) for product in f2.readlines()] for item in users_order: user_all_orders['month'] = datetime.datetime.strftime(datetime.datetime.strptime(item['create_time'],"%Y-%m-%d_%H:%M:%S"),"%B") user_all_orders['pro_id'] = item['pro_id'] user_all_orders['pro_price'] = ''.join([str(each['pro_current_price']) for each in products if each['pro_id'] == item['pro_id']]) print(user_all_orders)这段代码改怎么改让最后的结果变成列表中的每个元素变成字典
可以将每个订单的字典都添加到一个列表中,最后得到的就是一个列表,列表中每个元素是一个字典,表示一个订单的信息。具体实现方法如下:
```
def generate_figure(user_name):
with open('./data/orders.txt', 'r') as f1:
orders = [eval(each.strip()) for each in f1.readlines()]
users_order = [user for user in orders if user['username'] == user_name]
user_all_orders = []
order_list = []
with open('./data/produts.txt', 'r') as f2:
products = [eval(product.strip()) for product in f2.readlines()]
for item in users_order:
order_dict = {}
order_dict['month'] = datetime.datetime.strftime(datetime.datetime.strptime(item['create_time'], "%Y-%m-%d_%H:%M:%S"), "%B")
order_dict['pro_id'] = item['pro_id']
order_dict['pro_price'] = ''.join([str(each['pro_current_price']) for each in products if each['pro_id'] == item['pro_id']])
user_all_orders.append(order_dict)
print(user_all_orders)
```
这样,执行完 `generate_figure()` 函数后,就会得到一个列表,列表中每个元素是一个字典,表示一个订单的信息。
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