How to Extract Column Headers from Pandas DataFrame with User Input?

Extracting Column Headers from Pandas DataFrame

Obtaining a list of column headers from a Pandas DataFrame is a common operation for data analysis. In this article, we will demonstrate how to achieve this when the DataFrame is generated from user input, ensuring compatibility with an unknown number or names of columns.

DataFrame Column Header Extraction

To acquire the list of column headers from a DataFrame, you can utilize the following:

• columns.values: This attribute returns an array of column labels, which can be converted to a list using list(my_dataframe.columns.values).
• Directly Casting: Alternatively, you can simply cast the DataFrame to a list with list(my_dataframe) This will result in a list of column headers followed by the DataFrame values.

Example

Consider the following DataFrame:

<code class="python">import pandas as pd

data = {
    'y': [1, 2, 8, 3, 6, 4, 8, 9, 6, 10],
    'gdp': [2, 3, 7, 4, 7, 8, 2, 9, 6, 10],
    'cap': [5, 9, 2, 7, 7, 3, 8, 10, 4, 7]
}

df = pd.DataFrame(data)</code>

Obtaining Column Headers

Using the columns.values method:

<code class="python">headers = list(df.columns.values)
print(headers)

# Output: ['y', 'gdp', 'cap']</code>

Using direct casting:

<code class="python">headers = list(df)
print(headers)

# Output: ['y', 'gdp', 'cap']</code>

Both approaches will provide a list of column headers: ['y', 'gdp', 'cap'].

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