Replaced the occurrence of the words 'column index' with 'column label'.
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@@ -33,7 +33,7 @@ You can right-click, select **Add Node**, go to **Data Analysis**, and look for
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| **Pandas Iloc Row Series** | Select a row by row integer position |
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| **Pandas Iloc Rows DataFrame** | Select rows by the list of row integer positions |
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| **Pandas Loc Row Series** | Select a row by row label (index) |
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| **Pandas Loc Cell Str** | Select a cell by row label (index) and column label (index) |
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| **Pandas Loc Cell Str** | Select a cell by row label (index) and column label |
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| **Pandas Head** | Extract the first few rows |
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**Manipulating data**
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@@ -111,10 +111,10 @@ For **Pandas Iloc Row Series**, you only need to specify the row integer positi
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Note that in Pandas, integer position is an equivalent of an index in other software,
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while "index" means a unique label assigned to each row or column. See [pandas.DataFrame.iloc.html](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.iloc.html).
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while "index" means a unique label assigned to each row. See [pandas.DataFrame.iloc.html](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.iloc.html).
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## Selecting a cell by row label (index) and column label (index)
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Use **Pandas Loc Cell Str** for selecting a cell by row label (index) and column label (index). Data type of the labels needs to be specified as shown below:
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## Selecting a cell by row label (index) and column label
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Use **Pandas Loc Cell Str** for selecting a cell by row label (index) and column label. Data type of the labels needs to be specified as shown below:
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