Match List I with List II
|
List I |
List II |
||
|
A. |
DataFrame.groupby() |
I. |
To select a single column or subset of columns |
|
B. |
DataFrame.describe() |
II. |
To calculate summary statistics for numerical columns |
|
C. |
DataFrame.loc[] |
III. |
To split the data into groups based on some criteria |
|
D. |
DataFrame.iloc[] |
IV. |
To select rows based on integer location |
| E | DataFrame[['column_name']] | V. | To merge DataFrame or Series objects with a database-style join |
| F | DataFrame.merge() | VI. | To filter rows based on a condition |
Choose the correct answer from the options given below:
1
A - II, B - III, C - I, D - IV, E - VI, F - V
2
A - VI, B - I, C - II, D - IV, E - III, F - V
3
A - III, B - II, C - IV, D - VI, E - I, F - V
4
A - III, B - II, C - VI, D - IV, E - I, F - V