EasyNo. 2888
Reshape Data: Concatenate — LeetCode 2888 Python Solution
- Topics
- Pandas
- Reading time
- 2 min
- Source
- leetcode.com
Table schema
DataFrame df1 +-------------+--------+ | Column Name | Type | +-------------+--------+ | student_id | int | | name | object | | age | int | +-------------+--------+ DataFrame df2 +-------------+--------+ | Column Name | Type | +-------------+--------+ | student_id | int | | name | object | | age | int | +-------------+--------+ Write a solution to concatenate these two DataFrames vertically into one DataFrame. The result format is in the following example.Example
DataFrame df1
+-------------+--------+
| Column Name | Type |
+-------------+--------+
| student_id | int |
| name | object |
| age | int |
+-------------+--------+
DataFrame df2
+-------------+--------+
| Column Name | Type |
+-------------+--------+
| student_id | int |
| name | object |
| age | int |
+-------------+--------+Python solution
import pandas as pd
def concatenateTables(df1: pd.DataFrame, df2: pd.DataFrame) -> pd.DataFrame:
return pd.concat([df1, df2], ignore_index=True)Complexity
- Time
- O(n)
- Space · auxiliary
- O(1) to O(n)
Related problems
| No. | Problem | Difficulty |
|---|---|---|
| 2877 | Create a DataFrame from List | Easy |
| 0057 | Insert Interval | Medium |
| 0192 | Word Frequency | Medium |
| 0193 | Valid Phone Numbers | Easy |
| 0194 | Transpose File | Medium |
| 0195 | Tenth Line | Easy |
Frequently asked questions
- How hard is LeetCode 2888. Reshape Data: Concatenate?
LeetCode 2888. Reshape Data: Concatenate is rated Easy on LeetCode.
- What topics does LeetCode 2888. Reshape Data: Concatenate cover?
LeetCode 2888. Reshape Data: Concatenate is tagged Pandas on LeetCode.