Pandas data cast to numpy dtype of object
时间: 2024-04-29 11:23:08 浏览: 9
When a Pandas DataFrame contains columns with mixed data types, such as strings and numbers, the data type of the entire column will be cast to the most general data type that can accommodate all of the data in the column.
For example, if a column contains both integers and floats, the data type of the column will be cast to float. However, if the column contains both strings and numbers, the data type of the column will be cast to object, which is a general data type that can accommodate any data type.
To cast a Pandas DataFrame to a numpy dtype of object, you can use the `astype` method and pass the dtype as `object`:
``` python
import pandas as pd
import numpy as np
# create a dataframe with mixed data types
df = pd.DataFrame({'A': [1, 2, 3], 'B': ['a', 'b', 'c']})
# cast the dataframe to a numpy dtype of object
df = df.astype(object)
# check the data types of the columns
print(df.dtypes)
```
This will output:
```
A object
B object
dtype: object
```
Now, both columns have been cast to the `object` data type.