pandas Series and DataFrame, loc and iloc, boolean masks, missing data, sorting, dtypes and reading files.
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- What is a pandas Series?
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A one-dimensional array-like object with a labeled index- What is a pandas DataFrame?
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A two-dimensional table-like object with labeled rows and columns- How do you create a Series from a list?
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pd.Series([1, 2, 3, 4])- How do you create a DataFrame from a dictionary?
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pd.DataFrame({'col1': [1, 2], 'col2': [3, 4]})- What does loc select data by?
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Label-based indexing using row and column labels- What does iloc select data by?
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Integer position-based indexing- What is the key difference between loc and iloc?
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loc uses labels, iloc uses integer positions- What is a boolean mask in pandas?
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A Series or array of True/False values used to filter rows or columns- How do you apply a boolean mask to filter a DataFrame?
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df[df['column'] > value]- What is NaN in pandas?
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Not a Number, the standard representation of missing values- How do you detect missing values in a DataFrame?
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Use df.isna() or df.isnull()- What does dropna() remove?
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Rows or columns containing NaN values- What does fillna() do?
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Replaces NaN values with specified values- How do you sort a Series in ascending order?
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series.sort_values()- How do you sort a DataFrame by a specific column?
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df.sort_values(by='column_name')
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