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DOC: Remove trailing whitespace from io.rst
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doc/source/user_guide/io.rst

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@@ -6333,10 +6333,10 @@ To access files stored in your Google Drive:
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from google.colab import drive
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import pandas as pd
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# Mount your Google Drive
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drive.mount('/content/drive')
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# Read file from Drive
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df = pd.read_csv('/content/drive/MyDrive/your_file.csv')
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@@ -6350,10 +6350,10 @@ To upload files from your local machine:
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from google.colab import files
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import pandas as pd
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import io
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# Upload file (opens file picker dialog)
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uploaded = files.upload()
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# Read the uploaded file
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for filename in uploaded.keys():
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df = pd.read_csv(io.BytesIO(uploaded[filename]))
@@ -6366,7 +6366,7 @@ Direct URL loading works the same as in standard pandas:
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.. code-block:: python
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import pandas as pd
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# Read from any public URL
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url = 'https://raw.githubusercontent.com/example/repo/main/data.csv'
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df = pd.read_csv(url)
@@ -6379,23 +6379,23 @@ To read data from Google Sheets:
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.. code-block:: python
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import pandas as pd
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# Option 1: Export as CSV (sheet must be publicly accessible)
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sheet_id = 'your-spreadsheet-id'
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sheet_name = 'Sheet1'
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url = f'https://docs.google.com/spreadsheets/d/{sheet_id}/gviz/tq?tqx=out:csv&sheet={sheet_name}'
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df = pd.read_csv(url)
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# Option 2: Using authentication for private sheets
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# Note: Requires gspread library (pip install gspread)
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from google.colab import auth
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import gspread
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from google.auth import default
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auth.authenticate_user()
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creds, _ = default()
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gc = gspread.authorize(creds)
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worksheet = gc.open('Your Spreadsheet Name').sheet1
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data = worksheet.get_all_values()
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df = pd.DataFrame(data[1:], columns=data[0])

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