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Pandas Dataframe Operations

Master Pandas Dataframe Operations with 120 free flashcards. Study using spaced repetition and focus mode for effective learning in Data Science.

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What is a Pandas DataFrame?

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A two-dimensional, size-mutable, tabular data structure with labeled axes (rows and columns), similar to a spreadsheet or SQL table.

What library provides DataFrame in Python?

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Pandas (import pandas as pd).

How do you create a DataFrame from a dictionary of lists?

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pd.DataFrame({'col1': [1, 2], 'col2': [3, 4]})

How do you create a DataFrame from a list of dictionaries?

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pd.DataFrame([{'a': 1}, {'a': 2, 'b': 3}]); missing keys become NaN.

How do you read a CSV file into a DataFrame?

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pd.read_csv('file.csv').

How do you read an Excel file into a DataFrame?

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pd.read_excel('file.xlsx', sheet_name='Sheet1').

How do you read a JSON file into a DataFrame?

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pd.read_json('file.json') or pd.read_json('file.json', orient='records') for line-delimited JSON.

How do you write a DataFrame to a CSV file?

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df.to_csv('file.csv', index=False); pass index=False to avoid writing the index.

What does <code>df.head()</code> do?

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Returns the first 5 rows by default; pass n to control the count.

What does <code>df.tail(n)</code> do?

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Returns the last n rows (default 5).

How do you get the shape (rows, columns) of a DataFrame?

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df.shape returns a tuple (n_rows, n_cols).

How do you list the column names?

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df.columns returns an Index of column labels.

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