pd.read_access怎么用
时间: 2023-05-31 13:07:03 浏览: 48
`pd.read_access`这个函数似乎不存在。可能您想要使用`pd.read_excel`函数来读取Microsoft Access数据库文件(.mdb/.accdb)中的数据。您可以使用以下代码读取Access文件:
```python
import pandas as pd
# 读取Access文件
path_to_db = r'path/to/your/access/file.mdb' # 或者 '.accdb'
conn_str = f"Driver={{Microsoft Access Driver (*.mdb, *.accdb)}};DBQ={path_to_db}"
df = pd.read_sql("SELECT * FROM YourTableName", conn_str)
```
其中,`path_to_db`是Access数据库文件的路径,`YourTableName`是您想要读取的表的名称。如果需要,您还可以使用SQL语句来处理数据,例如:
```python
# 使用SQL语句读取数据
df = pd.read_sql("SELECT Column1, Column2 FROM YourTableName WHERE Column3 > 10", conn_str)
```
这将只选择"YourTableName"表中"Column1"和"Column2"列,并且其中"Column3"列的值大于10。
相关问题
temp_df = pd.read_csv(file)
I'm sorry, as an AI language model, I don't have access to your file. Can you please provide more context and information about your file and what you are trying to achieve?
a-pd.read_excel('C:\Users\Administrator\Desktop\Shibor历史数据.xlsx')
As an AI language model, I do not have access to your local files. However, assuming that you are using pandas library in Python to read an Excel file named "Shibor历史数据.xlsx" from your desktop, the correct syntax would be:
import pandas as pd
data = pd.read_excel(r'C:\Users\Administrator\Desktop\Shibor历史数据.xlsx')
Note that the "r" before the file path is used to specify a raw string, which allows us to use backslashes without escaping them.