How to Resolve Errors When Reading an Excel File with Pandas

Reading an Excel File in Python Using Pandas

This article focuses on reading an Excel file into a Pandas DataFrame using the pd.ExcelFile class.

One common approach to reading Excel files with Pandas is:

<code class="python">newFile = pd.ExcelFile(PATH\FileName.xlsx)
ParsedData = pd.io.parsers.ExcelFile.parse(newFile)</code>

However, this approach may result in an error due to an incorrect number of arguments. Specifically, pd.io.parsers.ExcelFile.parse() requires a second argument, the sheet name to be parsed from the Excel file.

For example:

<code class="python">xl = pd.ExcelFile("dummydata.xlsx")
xl.sheet_names
df = xl.parse("Sheet1")</code>

Alternatively, one can utilize the read_excel() function:

<code class="python">df = pd.read_excel("dummydata.xlsx", sheet_name="Sheet1")</code>

This concise approach provides a straightforward method for converting an Excel file into a Pandas DataFrame, and is more commonly used in place of the pd.ExcelFile class in current Pandas versions.

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