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Coding
Theory
Quiz
Series Dataframe Creation Dtypes
Build DataFrame From Dict
Junior
Cast Column To Dtype
Junior
Build a Series From a Dict
Junior
Set Column As Index
Junior
Rename Columns With a Mapping
Junior
Convert Column To
category
Dtype
Mid
Ordered Categorical Conversion
Mid
Convert Float Series to Nullable
Int64
Mid
Name Index Then Reset It
Mid
Build MultiIndex Frame With
from_arrays
Mid
Upgrade to Nullable Dtypes
Mid
Downcast Unsigned Integer Series
Senior
Memory-Optimized DataFrame Copy
Senior
Cartesian Product
MultiIndex
Frame
Senior
Indexing Selection Boolean Filtering
Label-Based Selection With
.loc
Junior
Boolean Mask Row Filter
Junior
Top-Left Block With
.iloc
Junior
Fast Scalar Access With
.at
Junior
Filter Rows With isin Membership
Junior
Case-Insensitive Substring Filter
Mid
Multi-Condition Boolean Mask Filter
Mid
Filter With
DataFrame.query
and
@vars
Mid
Filter Rows Within Closed Range
Mid
NOT IN Filter With
isin
Negation
Mid
Select Columns by Name Regex
Mid
Floor Negatives With
Series.where
Senior
Conditional Bonus Without Mutation
Senior
Cross-Section by Index Level
Senior
Cross-Section by Inner Level with
IndexSlice
Senior
Top-K Rows by Column
Senior
Missing Data Cleaning
Count Missing Values Per Column
Junior
Forward Fill a
Series
Junior
Remove Duplicate Rows Keeping First
Junior
Drop Rows With Missing Values
Junior
Fill Missing Values With Zero
Junior
Group-Wise Forward Fill
Mid
Dedupe Keeping Last Occurrence
Mid
Coerce Dirty Strings to Numeric
Mid
Per-Column
fillna
With a Dict
Mid
Drop Sparse Rows by Non-Null Count
Mid
Linear Interpolation of Interior
NaN
s
Senior
Clean Currency Series With Median Impute
Senior
Dtype-Preserving Nullable Int Imputation
Senior
Winsorize a Numeric Series With
clip
Senior
Mask Outliers and Impute Mean
Senior
Groupby Aggregation Transform
Total Sales by Region
Junior
Mean Score Per Student
Junior
Orders Per Customer With
size()
Junior
Distinct Products Per Region
Junior
Sales by Region and Category
Junior
Sales Summary With Named Aggregation
Mid
Distinct Products and Total Sales
Mid
Multiple Stats Per Group
Mid
Group Mean-Center With
transform
Mid
Percentage of Region Total
Mid
Dense Rank Within Each Team
Mid
Top N Rows Per Group
Senior
Quantity-Weighted Average Price
Senior
Group Sales by Observed Category
Senior
Row of Max Per Group
Senior
Keep Groups Above Sum Threshold
Senior
Merging Joining Concatenation
Inner Merge Orders With Customers
Junior
Left Merge Products With Prices
Junior
Merge Sales And Targets On Two Keys
Junior
Stack Two DataFrames By Rows
Junior
Horizontal Concat With
pd.concat
Junior
Index-Based Left Join
Mid
Outer Merge With Zero Fill
Mid
Concat With Quarter Keys MultiIndex
Mid
Merge Headcounts With Suffixes
Mid
Patch Missing Values With
combine_first
Mid
Left Anti-Join With Indicator
Senior
Pair Employees With Manager Name
Senior
Attach Latest Quote With
merge_asof
Senior
Validated Many-to-One Join
Senior
Cross Join Size-Color Catalog
Senior
Reshaping Pivoting Crosstab
One-Hot Encode a Color Column
Junior
Melt Wide Survey to Long
Junior
One-Hot Encode With
drop_first
Junior
Explode List Column Into Rows
Junior
Transpose City-Indexed Table
Junior
Sales Pivot by Region and Month
Mid
Pivot Tidy Data to Wide Form
Mid
Gender by Product Crosstab
Mid
Row-Normalized Crosstab of Gender vs Education
Mid
Unstack Innermost Quarter Level
Mid
Wide to Long With
stack
Mid
Explode Skills Then Count
Senior
Pivot Table With Grand Totals
Senior
Reshape Panel Data With
wide_to_long
Senior
Pivot on Two Value Columns
Senior
Time Series Datetime
Parse ISO Dates With
to_datetime
Junior
Coerce Invalid Dates to
NaT
Junior
Extract Year and Month Columns
Junior
Add Day-of-Week Column
Junior
Sort DataFrame by Date
Junior
Daily Fractional Price Change
Mid
Daily Date Range Reindex
Mid
Monthly Sales Totals via
Resample
Mid
Weekly Resample With
on=
Column
Mid
Time-Based 7-Day Rolling Mean
Mid
Add Lag and Delta Columns
Mid
Upsample and Interpolate Daily
Senior
Convert UTC Timestamps to US/Eastern
Senior
Monthly Sales by Store
Senior
Reindex Onto Business-Day Range
Senior
Intraday Rows With
between_time
Senior
Upsample Series to Daily With Forward Fill
Senior
String Text Str Categorical
Split Full Name Column
Junior
Vectorized Lowercasing With
str.lower
Junior
Vectorized String Lengths With
str.len
Junior
Zero-Pad ID Strings
Junior
Extract Area Code With
str.extract
Mid
Bin Ages With
pd.cut
Mid
Extract Date Parts With Named Groups
Mid
Mask Email Local Parts
Mid
Map Status Labels With
Series.map
Mid
Category Codes as
int8
Mid
Ordered Categorical Priority Sort
Senior
Factorize Labels With Reconstruction
Senior
Extract All Hashtags With
extractall
Senior
Quartile Buckets With
qcut
Senior
Sorting Ranking Window Method Chaining
Multi-Column Sort With Mixed Order
Junior
Stable Descending Sort by Score
Junior
Top N Rows by Revenue
Junior
Category Frequencies With
value_counts
Junior
Sort DataFrame by Row Index
Junior
Sort Scores With
NaN
s Last
Junior
Dense Rank Scores Descending
Mid
Ordinal Rank With
method='first'
Mid
Percentile Rank of a Series
Mid
Rolling Mean With Full
Window
Mid
Rolling Sum With Partial Windows
Mid
Clip Column And Flag Changes
Mid
Running Maximum With
cummax
Mid
Enrich and Filter via Method Chaining
Senior
Exponentially-Weighted Moving Average
Senior
Maximum Drawdown From Returns
Senior
Top 363 Pandas Interview Questions And Answers 2025 | TechPrep