如何使用 Python 將兩個 CSV 文件合並為一個

Question

我已經閱讀了有關堆棧溢出的一些信息，例如使用 Python 合並兩個 CSV 文件，但似乎該策略並不完全適合我。 我有兩個要合並的 csv 文件，第一個看起來像這樣：

第二個看起來像這樣：

我想將它們合並在一起並將它們並排放置，如下所示：

這就是我的代碼的樣子：

# Find first school csv file in file explore
file1 = file1_path_in_folder
df1 = pd.read_csv(file1)
df1.head()

# Find second school csv file in file explore
file2 = file2_path_in_folder
df2 = pd.read_csv(file2)
df2.head()

merged = df1.merge(df2, on=' ') # The space in quotation marks is there because the first cell (A1) is blank
merged.to_csv("output.csv", index=False)

我最終得到一個看起來像這樣的錯誤：

Traceback (most recent call last):
  File "c:\Users\anyuy\Documents\College_search\program\compare_read_csv.py", line 25, in <module>    
    merged = df1.merge(df2, on=' ')
  File "C:\Users\anyuy\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\pandas\core\frame.py", line 9345, in merge
    return merge(
  File "C:\Users\anyuy\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\pandas\core\reshape\merge.py", line 107, in merge        
    op = _MergeOperation(
  File "C:\Users\anyuy\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\pandas\core\reshape\merge.py", line 700, in __init__     
    ) = self._get_merge_keys()
  File "C:\Users\anyuy\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\pandas\core\reshape\merge.py", line 1097, in _get_merge_keys
    right_keys.append(right._get_label_or_level_values(rk))
  File "C:\Users\anyuy\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\pandas\core\generic.py", line 1840, in _get_label_or_level_values
    raise KeyError(key)
KeyError: ' '

我試着去掉引號中的空格，它仍然拋出同樣的錯誤。 我做錯了什么，我應該如何解決？ 感謝您提供的所有幫助。

Answer 1

您可以使用 pandas DataFrame 合並兩個 csv 文件。

df3 = pd.concat([df1,df2], axis=1, join='inner')

試試這個可能有用！