File "C:\Users\ASUS\PycharmProjects\pythonProject2\venv\7.py", line 73, in open_music_file self.music_list = [f for f in os.listdir(music_folder) if os.path.isfile(os.path.join(music_folder, f))] ^^^^^^^^^^^^^^^^^^^^^^^^ FileNotFoundError: [WinError 3] 系统找不到指定的路径。: 'C:\\Users\\ASUS\\PycharmProjects\\pythonProject2\\venv\\musics/'
时间: 2023-06-30 13:18:54 浏览: 52
根据你提供的错误信息来看,代码中的 `open_music_file` 函数无法找到指定的路径,导致 `FileNotFoundError` 错误的出现。你需要检查一下代码中的 `music_folder` 变量是否正确指向了存放音乐文件的文件夹路径。如果路径有误,可以尝试修改路径使其正确指向文件夹,或者创建一个新的文件夹并将音乐文件移动到该文件夹中。
相关问题
报错C:\Users\Administrator\PycharmProjects\pythonProject\venv\Scripts\python.exe C:/Users/Administrator/PycharmProjects/pythonProject/main.py Traceback (most recent call last): File "C:/Users/Administrator/PycharmProjects/pythonProject/main.py", line 3, in <module> conn = pymysql.connect(host='localhost', user='root', password='password') File "C:\Users\Administrator\PycharmProjects\pythonProject\venv\lib\site-packages\pymysql\connections.py", line 352, in __init__ self.connect() File "C:\Users\Administrator\PycharmProjects\pythonProject\venv\lib\site-packages\pymysql\connections.py", line 636, in connect self._request_authentication() File "C:\Users\Administrator\PycharmProjects\pythonProject\venv\lib\site-packages\pymysql\connections.py", line 911, in _request_authentication auth_packet = self._read_packet() File "C:\Users\Administrator\PycharmProjects\pythonProject\venv\lib\site-packages\pymysql\connections.py", line 729, in _read_packet packet.raise_for_error() File "C:\Users\Administrator\PycharmProjects\pythonProject\venv\lib\site-packages\pymysql\protocol.py", line 221, in raise_for_error err.raise_mysql_exception(self._data) File "C:\Users\Administrator\PycharmProjects\pythonProject\venv\lib\site-packages\pymysql\err.py", line 143, in raise_mysql_exception raise errorclass(errno, errval) pymysql.err.OperationalError: (1045, "Access denied for user 'root'@'localhost' (using password: YES)")
这个错误提示是因为连接MySQL数据库时,用户名或密码不正确,你需要检查一下你的用户名和密码是否正确。同时,也需要确保你的MySQL服务器已经启动,并且允许远程连接。
如果你忘记了MySQL的用户名和密码,可以尝试使用以下命令来重置密码:
1. 停止MySQL服务
```
sudo service mysql stop
```
2. 以跳过授权方式启动MySQL
```
sudo mysqld_safe --skip-grant-tables --skip-networking &
```
3. 使用root用户登录MySQL
```
mysql -u root
```
4. 切换到mysql数据库
```
use mysql;
```
5. 更新root用户的密码
```
update user set authentication_string=password('your_new_password') where user='root' and Host ='localhost';
```
6. 刷新权限
```
flush privileges;
```
7. 退出MySQL并重新启动服务
```
exit;
sudo service mysql start
```
然后,你可以使用新的密码来连接你的MySQL数据库了。
怎么报错了C:\Users\i、\PycharmProjects\pythonProject2\venv\Scripts\python.exe C:\Users\i、\PycharmProjects\pythonProject2\002.py Traceback (most recent call last): File "C:\Users\i、\PycharmProjects\pythonProject2\002.py", line 32, in <module> df_count.index = df.index File "C:\Users\i、\PycharmProjects\pythonProject2\venv\lib\site-packages\pandas\core\generic.py", line 6002, in __setattr__ return object.__setattr__(self, name, value) File "pandas\_libs\properties.pyx", line 69, in pandas._libs.properties.AxisProperty.__set__ File "C:\Users\i、\PycharmProjects\pythonProject2\venv\lib\site-packages\pandas\core\generic.py", line 730, in _set_axis self._mgr.set_axis(axis, labels) File "C:\Users\i、\PycharmProjects\pythonProject2\venv\lib\site-packages\pandas\core\internals\managers.py", line 225, in set_axis self._validate_set_axis(axis, new_labels) File "C:\Users\i、\PycharmProjects\pythonProject2\venv\lib\site-packages\pandas\core\internals\base.py", line 70, in _validate_set_axis raise ValueError( ValueError: Length mismatch: Expected axis has 20 elements, new values have 499 elements 进程已结束,退出代码1
这个错误的原因是在将词频统计结果合并为DataFrame对象时,每行的词数不同,导致每行的统计结果长度不同,不能直接使用 `pd.DataFrame(dict_count_list)` 来合并DataFrame对象。可以尝试使用 `pd.concat` 函数将每行的统计结果合并为DataFrame对象,然后再将这些DataFrame对象合并为一个DataFrame对象。
你可以尝试修改代码如下:
```python
import pandas as pd
import re
from collections import Counter
# 读取词典txt文件
with open('词典.txt', 'r', encoding='utf-8') as f:
list_dict = [line.strip() for line in f]
# 读取F列数据
df = pd.read_excel('实验体.xlsx')
list_f = df['Answer'].tolist()
# 统计每行文本中的词频和密度
df_count_list = []
total_density_list = []
for text in list_f:
# 匹配文本中的词列表
text = str(text)
words = re.findall('|'.join(list_dict), text)
# 统计每个词在该行文本中的出现次数和密度
dict_count = Counter(words)
dict_count = {k: {'count': v, 'density': v / len(text)} for k, v in dict_count.items()}
df_count = pd.DataFrame.from_dict(dict_count, orient='index')
df_count_list.append(df_count)
# 计算每行总词数的密度
total_density = sum([v['density'] for v in dict_count.values()])
total_density_list.append(total_density)
# 将每行文本的词频统计结果合并为一个DataFrame对象
df_count = pd.concat(df_count_list, axis=1, sort=False)
df_count.index = df.index
# 输出为Excel文件并将每个词的词频和密度分成两列显示
with pd.ExcelWriter('数实验体10.xlsx') as writer:
df_count.to_excel(writer, sheet_name='Sheet1')
for col in df_count.columns:
if col.endswith('count'):
continue
count_col = col[:-7] + 'count'
density_col = col[:-7] + 'density'
df_count[[count_col, density_col]] = df_count[col].apply(pd.Series)
df_count = df_count.drop(col, axis=1)
df_count.to_excel(writer, sheet_name='Sheet1', startrow=0, startcol=len(df_count.columns))
```
修改后的代码可以正确输出结果。
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