# Change Column Type in Pandas

To change the column type in a pandas DataFrame, you can use the `astype()` method. Here's how you can do it:

```python
import pandas as pd

# Sample DataFrame
data = {'A': [1, 2, 3], 'B': [4.0, 5.0, 6.0]}
df = pd.DataFrame(data)

# Original DataFrame
print("Original DataFrame:")
print(df)

# Change column type of column 'A' to float
df['A'] = df['A'].astype(float)

# Updated DataFrame
print("\\nDataFrame with column 'A' converted to float:")
print(df)
```

In this example, we change the column type of column 'A' to float using the `astype()` method. You can specify the desired data type as an argument to `astype()`. In this case, we convert 'A' to float.

You can also convert columns to other types, such as int, str, datetime, etc., by specifying the appropriate data type in the `astype()` method.