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12. Drop a column · Python: Pandas DataFrames

Home / Practice / Python: Pandas DataFrames

12. Drop a column

#12 · 12 of 50

Python: Pandas DataFrames

50 exercises

011. Create DataFrame from dict Free
022. Print first 5 rows Free
033. Summary statistics Free
044. Select a specific column Locked
055. Filter rows by condition Locked
066. Add a new column Locked
077. Group by a column and compute mean Locked
088. Sort by a specific column Locked
099. Drop rows with missing values Locked
1010. Merge two DataFrames Locked
1111. Rename a column Locked
1212. Drop a column Locked
1313. Fill missing values Locked
1414. Replace values Locked
1515. Drop duplicatesLocked
1616. Map values Locked
1717. Apply function to a column Locked
1818. Concatenate two DataFrames Locked
1919. Melt (unpivot) a DataFrame Locked
2020. Create a pivot table Locked
2121. Set a MultiIndex Locked
2222. Unstack a MultiIndex Locked
2323. Insert a row by loc Locked
2424. Mask and replace values in a column Locked
2525. Value counts of a column Locked
2626. Read from CSV (StringIO) Locked
2727. Write to CSV (StringIO) Locked
2828. Reindex a DataFrame Locked
2929. Set and reset index Locked
3030. Sort by multiple columns Locked
3131. Merge with a left join Locked
3232. Outer join merge Locked
3333. Aggregate multiple columns Locked
3434. Map with a dictionary Locked
3535. Count unique values in a column Locked
3636. Assign a new column with .assign() Locked
3737. Detect and count duplicates Locked
3838. Query usage Locked
3939. Pivot from long to wide Locked
4040. Pivot from wide to long Locked
4141. Slice rows with loc Locked
4242. Slice by position with iloc Locked
4343. Group by multiple columns Locked
4444. Merge on multiple keys Locked
4545. Sort groupby results Locked
4646. Rolling mean Locked
4747. Shift column Locked
4848. Insert column at a specific position Locked
4949. Create DataFrame from list of dicts Locked
5050. Combine multiple aggregations with groupby Locked

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All exercises in Python: Pandas DataFrames50

Python: Pandas DataFrames

50 exercises

011. Create DataFrame from dict Free
022. Print first 5 rows Free
033. Summary statistics Free
044. Select a specific column Locked
055. Filter rows by condition Locked
066. Add a new column Locked
077. Group by a column and compute mean Locked
088. Sort by a specific column Locked
099. Drop rows with missing values Locked
1010. Merge two DataFrames Locked
1111. Rename a column Locked
1212. Drop a column Locked
1313. Fill missing values Locked
1414. Replace values Locked
1515. Drop duplicatesLocked
1616. Map values Locked
1717. Apply function to a column Locked
1818. Concatenate two DataFrames Locked
1919. Melt (unpivot) a DataFrame Locked
2020. Create a pivot table Locked
2121. Set a MultiIndex Locked
2222. Unstack a MultiIndex Locked
2323. Insert a row by loc Locked
2424. Mask and replace values in a column Locked
2525. Value counts of a column Locked
2626. Read from CSV (StringIO) Locked
2727. Write to CSV (StringIO) Locked
2828. Reindex a DataFrame Locked
2929. Set and reset index Locked
3030. Sort by multiple columns Locked
3131. Merge with a left join Locked
3232. Outer join merge Locked
3333. Aggregate multiple columns Locked
3434. Map with a dictionary Locked
3535. Count unique values in a column Locked
3636. Assign a new column with .assign() Locked
3737. Detect and count duplicates Locked
3838. Query usage Locked
3939. Pivot from long to wide Locked
4040. Pivot from wide to long Locked
4141. Slice rows with loc Locked
4242. Slice by position with iloc Locked
4343. Group by multiple columns Locked
4444. Merge on multiple keys Locked
4545. Sort groupby results Locked
4646. Rolling mean Locked
4747. Shift column Locked
4848. Insert column at a specific position Locked
4949. Create DataFrame from list of dicts Locked
5050. Combine multiple aggregations with groupby Locked