Python Pandas 面试题与答案

问题 26. Explain the use of the describe function in Pandas.

describe generates descriptive statistics of a DataFrame, excluding NaN values.

Example:

df.describe()

问题 27. How can you drop columns from a Pandas DataFrame?

Use the drop function. df.drop(['column1', 'column2'], axis=1)

问题 28. Explain the concept of method chaining in Pandas.

Method chaining is a way of applying multiple operations on a DataFrame in a single line of code.

Example:

df.dropna().mean()

问题 29. What is the purpose of the iterrows() function in Pandas?

iterrows() is used to iterate over DataFrame rows as (index, Series) pairs.

Example:

for index, row in df.iterrows():
    print(index, row['column'])

问题 30. Explain the use of the get_dummies() function in Pandas.

get_dummies() is used to convert categorical variable(s) into dummy/indicator variables.

Example:

pd.get_dummies(df['column'])