Pandas Interview Questions For Freshers

How do you select specific columns from a DataFrame?

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What is the difference between wide and long format data in Pandas?

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What is the purpose of pivot tables in Pandas?

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How can you merge two DataFrames in Pandas?

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How can you handle missing or NaN values in Pandas?

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What is the use of apply() function in Pandas?

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How can you remove duplicate rows from a DataFrame?

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What is the purpose of groupby() in Pandas?

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How can you sort a DataFrame by values in a specific column?

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What is the difference between drop() and del in Pandas?

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How do you filter rows in a DataFrame based on a condition?

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How can you plot a graph using Pandas?

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What is the difference between loc and iloc?

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What is the purpose of the loc and iloc functions?

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How can you rename the columns of a DataFrame?

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How can you create a DataFrame from a dictionary?

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How do you check the version of Pandas you have installed?

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What is the data structure used by Pandas?

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What is a Series and how is it different from a DataFrame?

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How do you import Pandas?

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What are the key features of Pandas?

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How can you perform arithmetic operations on DataFrames in Pandas?

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What is the purpose of melt() function in Pandas?

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How can you convert a Pandas DataFrame to a NumPy array?

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What is the use of get_dummies() in Pandas?

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What is the difference between in-place and non-in-place operations in Pandas?

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How do you handle date and time data in Pandas?

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How can you save a DataFrame to a CSV file?

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What is Pandas?

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Pandas Intermediate Interview Questions

How can you handle imbalanced data in Pandas?

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What is the difference between pd.merge() and DataFrame.merge() in Pandas?

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How can you change the data type of a column in a DataFrame in Pandas?

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What is the difference between shift() and tshift() functions in Pandas?

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What is the use of the sample() function in Pandas?

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How can you apply multiple aggregations on a DataFrame in Pandas?

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What is the purpose of the diff() function in Pandas?

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How can you combine two or more columns into a single column in Pandas?

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What is the difference between nunique() and unique() functions in Pandas?

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How can you handle outliers in a DataFrame using z-score in Pandas?

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What is the use of the value_counts() function in Pandas?

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How can you create a lag or lead column in a DataFrame using shift() function in Pandas?

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What is the purpose of the rolling() function in Pandas?

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How can you convert a DataFrame to a panel in Pandas?

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What is the purpose of the dt accessor in Pandas?

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What is the use of the merge_ordered() function in Pandas?

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How can you handle missing data in time series using interpolation in Pandas?

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What is the difference between stack() and melt() functions in Pandas?

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How can you handle categorical data in Pandas?

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What is the purpose of the cut() function in Pandas?

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How can you resample time series data in Pandas?

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How can you convert a DateTime column to a specific time zone in Pandas?

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What is the difference between merge() and join() in Pandas?

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How can you extract specific rows from a DataFrame based on conditions in Pandas?

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How can you handle missing values in a DataFrame in Pandas?

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How do you combine multiple DataFrames in Pandas?

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How can you create an empty DataFrame in Pandas?

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Pandas Interview Questions For Experienced

How can you handle duplicated data in a DataFrame in Pandas?

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What is the difference between concat() and append() functions in Pandas?

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How can you handle time series data with irregular intervals in Pandas?

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What is the purpose of the to_datetime() function in Pandas?

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How can you optimize memory usage in a DataFrame in Pandas?

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What is the difference between .iterrows() and .itertuples() in Pandas?

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How can you handle large datasets in Pandas?

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What is the use of the merge_asof() function in Pandas?

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What is the purpose of the eval() function in Pandas?

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What is the use of the combine_first() function in Pandas?

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How can you perform multiple aggregations on different columns in a DataFrame in Pandas?

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What is the purpose of the cut() function with datetime data in Pandas?

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How can you handle time series data with seasonality and trend in Pandas?

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What is the difference between transform() and apply() functions in Pandas?

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How can you handle large time series data in Pandas?

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What is the use of the interpolate() function in Pandas?

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How can you handle multi-dimensional data in Pandas?

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What is the difference between merge() and concat() functions in Pandas?

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How can you handle hierarchical data with MultiIndex in Pandas?

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How can you handle missing data in a time series using backward or forward filling in Pandas?

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What is the difference between interpolate() and resample() functions in Pandas?

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How can you handle time series data with missing values in Pandas?

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What is the use of the applymap() function in Pandas?

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How can you handle high-dimensional data in Pandas?

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What is the difference between first() and last() functions in Pandas?

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How can you perform vectorized operations in Pandas?

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What is the purpose of the sparse data types in Pandas?

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How can you handle time zone conversions in Pandas?

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