pandasライブラリを使用して、同じ名前の2つのCSVファイルをマージするPythonコードの例です：

```python
import pandas as pd
import os

# Set the file path and names
folder_path = "/path/to/folder"
file_name = "example.csv"
file_name2 = "example(2).csv"

# Read in the two CSV files
df1 = pd.read_csv(os.path.join(folder_path, file_name))
df2 = pd.read_csv(os.path.join(folder_path, file_name2))

# Merge the two dataframes based on a common column
merged_df = pd.merge(df1, df2, on="common_column")

# Write the merged dataframe to a new CSV file
merged_df.to_csv(os.path.join(folder_path, "merged_file.csv"), index=False)
```


common_column "プレースホルダは、両方のCSVファイルに共通で、マージしたい実際のカラム名に置き換えてください。また、"folder_path "プレースホルダは、CSVファイルがあるフォルダへの実際のパスに置き換えてください。最後に、コード内のファイル名が実際のファイル名と一致していることを確認してください（ファイル名に括弧やその他の文字が含まれている場合も同様です）。
Sure, here's an example Python code that uses the pandas library to merge two CSV files with the same name, where one file has "(2)" in its name:

```python
import pandas as pd
import os

# Set the file path and names
folder_path = "/path/to/folder"
file_name = "example.csv"
file_name2 = "example(2).csv"

# Read in the two CSV files
df1 = pd.read_csv(os.path.join(folder_path, file_name))
df2 = pd.read_csv(os.path.join(folder_path, file_name2))

# Merge the two dataframes based on a common column
merged_df = pd.merge(df1, df2, on="common_column")

# Write the merged dataframe to a new CSV file
merged_df.to_csv(os.path.join(folder_path, "merged_file.csv"), index=False)
```


Make sure to replace the "common_column" placeholder with the actual name of the column that is common to both CSV files and that you want to merge on. Also, replace the "folder_path" placeholder with the actual path to the folder where the CSV files are located. Finally, make sure that the file names in the code match the actual file names (including any parentheses or other characters in the file names).