The syntax `df.iloc[22:57]` is used to select rows from a DataFrame in pandas, a data manipulation and analysis library in Python.

Here's a step-by-step explanation:

1. `df`: This is your DataFrame. A DataFrame is a two-dimensional labeled data structure with columns potentially of different types. You can think of it like a spreadsheet or SQL table, or a dictionary of Series objects.

2. `iloc`: This is a pandas DataFrame function used for purely integer-location based indexing for selection by position.

3. `[22:57]`: These are the indices of the rows you want to select from the DataFrame. In Python, indexing is zero-based, so the first row is at index 0.

So, `df.iloc[22:57]` will select rows 22 to 56 of the DataFrame `df`. Note that the range specified is inclusive of the start index and exclusive of the end index, so it will include row 22 but not row 57.

Question

The syntax `df.iloc[22:57]` is used to select rows from a DataFrame in pandas, a data manipulation and analysis library in Python.

Here's a step-by-step explanation:

1. `df`: This is your DataFrame. A DataFrame is a two-dimensional labeled data structure with columns potentially of different types. You can think of it like a spreadsheet or SQL table, or a dictionary of Series objects.

2. `iloc`: This is a pandas DataFrame function used for purely integer-location based indexing for selection by position.

3. `[22:57]`: These are the indices of the rows you want to select from the DataFrame. In Python, indexing is zero-based, so the first row is at index 0.

So, `df.iloc[22:57]` will select rows 22 to 56 of the DataFrame `df`. Note that the range specified is inclusive of the start index and exclusive of the end index, so it will include row 22 but not row 57.

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The syntax `df.iloc[22:57]` is used to select rows from a DataFrame in pandas, a data manipulation and analysis library in Python.

Here's a step-by-step explanation:

1. `df`: This is your DataFrame. A DataFrame is a two-dimensional labeled data structure with columns potentially of different types. You can think of it like a spreadsheet or SQL table, or a dictionary of Series objects.

2. `iloc`: This is a pandas DataFrame function used for purely integer-location based indexing for selection by position.

3. `[22:57]`: These are the indices of the rows you want to select from the DataFrame. In Python, indexing is zero-based, so the first row is at index 0.

So, `df.iloc[22:57]` will select rows 22 to 56 of the DataFrame `df`. Note that the range specified is inclusive of the start index and exclusive of the end index, so it will include row 22 but not row 57.

Which rows of the DataFrame df will be selected based on the following syntax? df.iloc[22:57]

Question

Which rows of the DataFrame `df` will be selected based on the following syntax?

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