sklearn Merge
时间: 2023-09-03 08:12:20 浏览: 38
`sklearn` does not have a built-in function for merging datasets. However, you can use the `pandas` library to merge datasets using the `merge` function.
Here is an example of how to merge two datasets using `pandas`:
```python
import pandas as pd
from sklearn.datasets import load_iris
# Load the iris dataset
iris = load_iris()
# Convert iris to a pandas dataframe
df1 = pd.DataFrame(data=iris.data, columns=iris.feature_names)
# Create a second dataframe
df2 = pd.DataFrame({'species': iris.target})
# Merge the two dataframes on their index
merged_df = pd.merge(df1, df2, left_index=True, right_index=True)
# Print the merged dataframe
print(merged_df.head())
```
In this example, we convert the `iris` dataset to a `pandas` dataframe and create a second dataframe containing the `species` column. We then merge these two dataframes on their index using the `merge` function. The resulting merged dataframe contains all of the columns from the original `iris` dataset as well as the `species` column from the second dataframe.