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select-data | 3 Best One-liner Solution | 3-best-one-liner-solution-by-shivamkhato-2bce | Intuition\n Describe your first thoughts on how to solve this problem. \n\n# Approach\n Describe your approach to solving the problem. \n\n# Complexity\n- Time | ShivamKhator | NORMAL | 2024-05-09T12:29:31.784553+00:00 | 2024-05-09T12:29:31.784586+00:00 | 11,597 | false | # Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\n\n# Approach\n<!-- Describe your approach to solving the problem. -->\n\n# Complexity\n- Time complexity:\n<!-- Add your time complexity here, e.g. $$O(n)$$ -->\n\n- Space complexity:\n<!-- Add your space complexity here, e.g. $$O(n)$$ --... | 140 | 0 | ['Python', 'Python3', 'Pandas'] | 3 |
select-data | 3 diff Way || 1 line code | 3-diff-way-1-line-code-by-vvivekyadav-y1yl | If you got help from this,... Plz Upvote .. it encourage me\n# Code\n\nimport pandas as pd\n\ndef selectData(students: pd.DataFrame) -> pd.DataFrame:\n retur | vvivekyadav | NORMAL | 2023-10-06T02:03:05.057653+00:00 | 2023-10-06T02:03:05.057694+00:00 | 10,416 | false | **If you got help from this,... Plz Upvote .. it encourage me**\n# Code\n```\nimport pandas as pd\n\ndef selectData(students: pd.DataFrame) -> pd.DataFrame:\n return students.loc[students["student_id"] == 101, ["name", "age"]]\n # OR\n return students.loc[students["student_id"] == 101, "name" :]\n # OR\n ... | 108 | 0 | ['Python', 'Python3', 'Pandas'] | 3 |
select-data | Easy Solution Beginner Friendly || Pandas || Beats 98% | easy-solution-beginner-friendly-pandas-b-7cxt | Intuition\nThe problem suggests that we need to create a solution to select and return specific columns (name and age) from a given Pandas DataFrame named \'stu | vaish_1929 | NORMAL | 2023-10-07T08:27:34.458655+00:00 | 2023-10-07T08:41:28.816171+00:00 | 3,190 | false | # Intuition\nThe problem suggests that we need to create a solution to select and return specific columns (name and age) from a given Pandas DataFrame named \'students\' where the \'student_id\' is equal to 101.\n\n# Approach\nTo address this problem, we utilize the Pandas library in Python. We employ DataFrame indexin... | 19 | 0 | ['Pandas'] | 1 |
select-data | Easy Solution with explanation. | easy-solution-with-explanation-by-swayam-rpjv | Intuition\nThe intuition for this problem is to filter the DataFrame to select the row where student_id is 101, and then select only the \'name\' and \'age\' co | Swayam248 | NORMAL | 2024-09-27T15:47:46.635304+00:00 | 2024-09-27T15:47:46.635340+00:00 | 1,836 | false | # Intuition\nThe intuition for this problem is to filter the DataFrame to select the row where student_id is 101, and then select only the \'name\' and \'age\' columns from that row.\n\n# Approach\nUse boolean indexing to filter the DataFrame for the row where student_id is 101.\nSelect only the \'name\' and \'age\' co... | 9 | 0 | ['Pandas'] | 5 |
select-data | ✅Easy And Simple Solution With EXPLANATION✅ | easy-and-simple-solution-with-explanatio-w3br | \n\n### Explanation\n\nThis code defines a function named selectData that takes a pandas DataFrame as input and returns a new DataFrame containing the name and | deleted_user | NORMAL | 2024-06-07T07:31:48.813993+00:00 | 2024-06-07T07:33:24.848962+00:00 | 1,463 | false | \n\n### Explanation\n\nThis code defines a function named `selectData` that takes a pandas DataFrame as input and returns a new DataFrame containing the `name` and `age` columns for the rows where `student_id` is equal to 101.\n\n#### Step-by-step Explanation:\n\n1. **Import pandas**:\n ```python\n import pandas ... | 8 | 0 | ['Pandas'] | 0 |
select-data | Pandas 1-Line | Elegant & Short | And more Pandas solutions ✅ | pandas-1-line-elegant-short-and-more-pan-2e00 | Complexity\n- Time complexity: O(n)\n- Space complexity: O(n)\n\n# Code\nPython []\ndef selectData(students: pd.DataFrame) -> pd.DataFrame:\n return students | Kyrylo-Ktl | NORMAL | 2023-10-06T09:11:00.138310+00:00 | 2023-10-06T09:11:12.368983+00:00 | 696 | false | # Complexity\n- Time complexity: $$O(n)$$\n- Space complexity: $$O(n)$$\n\n# Code\n```Python []\ndef selectData(students: pd.DataFrame) -> pd.DataFrame:\n return students[students[\'student_id\'] == 101][[\'name\', \'age\']]\n```\n\n# Important!\n###### If you like the solution or find it useful, feel free to **upvo... | 6 | 0 | ['Python', 'Python3', 'Pandas'] | 0 |
select-data | ✔️✔️Beats 98.68% !!!! Simple Solution | Well explained 💥💥 | beats-9868-simple-solution-well-explaine-4inc | Understanding the Code\nDataFrame Selection: students\n\nRow Filtering: students[\'student_id\'] == 101\n\n- students[\'student_id\'] accesses the student_id co | shakthi251004 | NORMAL | 2024-07-31T13:44:19.449654+00:00 | 2024-07-31T13:44:19.449687+00:00 | 686 | false | # Understanding the Code\n**DataFrame Selection:** students\n\n**Row Filtering:** students[\'student_id\'] == 101\n\n- **students[\'student_id\']** accesses the student_id column of the students DataFrame.\n\n- **students[\'student_id\'] == 101** creates a Boolean Series where each entry is True if the corresponding st... | 5 | 0 | ['Pandas'] | 0 |
select-data | 🔥Best Solution in Pandas || One-liner || With explanation ||🔥 | best-solution-in-pandas-one-liner-with-e-xdsv | Explanation\ndef selectData(students: pd.DataFrame) -> pd.DataFrame:\nThis line defines a function called selectData. It takes one argument students, which is e | deleted_user | NORMAL | 2024-03-17T13:12:03.941154+00:00 | 2024-03-17T13:12:03.941187+00:00 | 1,131 | false | # Explanation\n`def selectData(students: pd.DataFrame) -> pd.DataFrame:`\nThis line defines a function called selectData. It takes one argument students, which is expected to be a pandas DataFrame containing student data. The function is annotated to indicate that students should be a DataFrame, and the return type of ... | 5 | 0 | ['Python', 'Python3', 'Pandas'] | 0 |
select-data | 1 line with masking | Beat 90% | 1-line-with-masking-beat-90-by-ankita290-5ef5 | Intuition\n Describe your first thoughts on how to solve this problem. \n\n# Approach\n Describe your approach to solving the problem. \n\n# Complexity\n- Time | Ankita2905 | NORMAL | 2023-11-29T09:53:40.452172+00:00 | 2023-11-29T09:53:40.452197+00:00 | 2,032 | false | # Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\n\n# Approach\n<!-- Describe your approach to solving the problem. -->\n\n# Complexity\n- Time complexity:\n<!-- Add your time complexity here, e.g. $$O(n)$$ -->\n\n- Space complexity:\n<!-- Add your space complexity here, e.g. $$O(n)$$ --... | 4 | 0 | ['Pandas'] | 0 |
select-data | Easy to understand code | easy-to-understand-code-by-andersongarce-mls2 | Upvote \n# Code\n\nimport pandas as pd\n\ndef selectData(students: pd.DataFrame) -> pd.DataFrame:\n student_101 = students.loc[students[\'student_id\'] == 10 | andersongarcesmolina | NORMAL | 2023-11-11T20:49:55.372384+00:00 | 2023-11-11T20:49:55.372408+00:00 | 569 | false | # Upvote \n# Code\n```\nimport pandas as pd\n\ndef selectData(students: pd.DataFrame) -> pd.DataFrame:\n student_101 = students.loc[students[\'student_id\'] == 101, [\'name\', \'age\']]\n return student_101\n\n``` | 4 | 0 | ['Pandas'] | 0 |
select-data | Easy to learn || 100% use to copy the program without error👍️🖤️👍️ | easy-to-learn-100-use-to-copy-the-progra-ot8p | \n Describe your first thoughts on how to solve this problem. \n\n\n Describe your approach to solving the problem. \n\n\n\n Add your time complexity here, e.g. | pranov_raaj__30 | NORMAL | 2024-08-22T03:19:31.873650+00:00 | 2024-08-22T03:19:31.873680+00:00 | 836 | false | \n<!-- Describe your first thoughts on how to solve this problem. -->\n\n\n<!-- Describe your approach to solving the problem. -->\n\n\n\n<!-- Add your time complexity here, e.g. $$O(n)$$ -->\n\n\n<!-- Add your space complexity here, e.g. $$O(n)$$ -->\n\n# Code\n```pythondata []\ndef selectData(students: pd.DataFrame) ... | 3 | 0 | ['Pandas'] | 1 |
select-data | ✅EASY SOLUTION | easy-solution-by-swayam28-b5vj | Intuition\n\n Describe your first thoughts on how to solve this problem. \n\n# Approach\n Describe your approach to solving the problem. \n\n# Complexity\n- Tim | swayam28 | NORMAL | 2024-08-11T13:42:32.506551+00:00 | 2024-08-11T13:42:32.506607+00:00 | 591 | false | # Intuition\n\n<!-- Describe your first thoughts on how to solve this problem. -->\n\n# Approach\n<!-- Describe your approach to solving the problem. -->\n\n# Complexity\n- Time complexity:\n<!-- Add your ... | 3 | 0 | ['Pandas'] | 0 |
select-data | My OWN PERSONAL review/study guide for .loc and filtering DFs | my-own-personal-reviewstudy-guide-for-lo-7qrb | Intuition\nThis is a solution that I wrote only as a review guide for myself when I revisit this problem. If you are reading this, I wish you all the best in ev | RangoDanger | NORMAL | 2024-02-22T22:34:48.294663+00:00 | 2024-02-22T22:34:48.294690+00:00 | 705 | false | # Intuition\nThis is a solution that I wrote only as a review guide for **myself** when I revisit this problem. If you are reading this, I wish you all the best in everything you do. Sorry if this is useless to you.\n\n# Approach\nYou can use boolean indexing to filter the DataFrame based on the condition df[\'student_... | 3 | 0 | ['Pandas'] | 0 |
select-data | Simple One Line Code || Beat 100% || | simple-one-line-code-beat-100-by-yashmen-ozz3 | If you got help from this, Plz Upvote\n\n# Complexity\n- Time complexity: O(n)\n Add your time complexity here, e.g. O(n) \n- Space complexity: O(k)\n Add your | yashmenaria | NORMAL | 2023-10-06T04:32:36.459573+00:00 | 2023-10-06T04:32:36.459595+00:00 | 20 | false | # If you got help from this, Plz Upvote\n\n# Complexity\n- Time complexity: O(n)\n<!-- Add your time complexity here, e.g. $$O(n)$$ -->\n- Space complexity: O(k)\n<!-- Add your space complexity here, e.g. $$O(n)$$ -->\n where \'k\' is the number of rows that satisfy the condition (in this case, students with \'student_... | 3 | 0 | ['Pandas'] | 0 |
select-data | Select Data || Easy solution ✅ | select-data-easy-solution-by-lipika02-o15w | Code\n\nimport pandas as pd\n\ndef selectData(students: pd.DataFrame) -> pd.DataFrame:\n df = pd.DataFrame(students) # whole dataframe\n df = df[df[\'stud | lipika02 | NORMAL | 2023-10-04T01:02:10.557230+00:00 | 2023-10-04T01:02:10.557256+00:00 | 656 | false | # Code\n```\nimport pandas as pd\n\ndef selectData(students: pd.DataFrame) -> pd.DataFrame:\n df = pd.DataFrame(students) # whole dataframe\n df = df[df[\'student_id\']==101] # dataframe with student_id==101\n df = df[[\'name\',\'age\']] # selected columns from dataframe with student_id=101\n return df\n ... | 3 | 0 | ['Python', 'Python3', 'Pandas'] | 0 |
select-data | Select Data - <PANDAS> | select-data-pandas-by-preeom-fs4u | Code | PreeOm | NORMAL | 2025-03-15T16:08:35.105323+00:00 | 2025-03-15T16:08:35.105323+00:00 | 227 | false |
# Code
```pythondata []
import pandas as pd
def selectData(students: pd.DataFrame) -> pd.DataFrame:
return students.loc[students["student_id"] == 101, ["name", "age"]]
``` | 2 | 0 | ['Pandas'] | 0 |
select-data | Easy 1-line solution using .loc | easy-1-line-solution-using-loc-by-hiya99-p58t | Intuition\n Describe your first thoughts on how to solve this problem. \n\n# Approach\n Describe your approach to solving the problem. \n\n# Complexity\n- Time | Hiya99 | NORMAL | 2024-09-29T05:06:29.547900+00:00 | 2024-09-29T05:06:29.547925+00:00 | 653 | false | # Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\n\n# Approach\n<!-- Describe your approach to solving the problem. -->\n\n# Complexity\n- Time complexity:\n<!-- Add your time complexity here, e.g. $$O(n)$$ -->\n\n- Space complexity:\n<!-- Add your space complexity here, e.g. $$O(n)$$ --... | 2 | 0 | ['Pandas'] | 0 |
select-data | Another One | another-one-by-amangurung5225-vvia | Intuition\n Describe your first thoughts on how to solve this problem. \n\n# Approach\n Describe your approach to solving the problem. \n\n# Complexity\n- Time | amangurung5225 | NORMAL | 2024-01-04T06:20:02.882458+00:00 | 2024-01-04T06:20:02.882497+00:00 | 1,147 | false | # Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\n\n# Approach\n<!-- Describe your approach to solving the problem. -->\n\n# Complexity\n- Time complexity:\n<!-- Add your time complexity here, e.g. $$O(n)$$ -->\n\n- Space complexity:\n<!-- Add your space complexity here, e.g. $$O(n)$$ --... | 2 | 0 | ['Pandas'] | 0 |
select-data | Select Data || Pandas || Solution by bharadwaj | select-data-pandas-solution-by-bharadwaj-c46c | Approach\nSelect Data by Column Name and Condition\n\n# Complexity\n- Time complexity:\nO(n)\n\n- Space complexity:\nO(1)\n\n# Code\n\nimport pandas as pd\n\nde | Manu-Bharadwaj-BN | NORMAL | 2023-10-14T14:35:34.459395+00:00 | 2023-10-14T14:35:34.459412+00:00 | 536 | false | # Approach\nSelect Data by Column Name and Condition\n\n# Complexity\n- Time complexity:\nO(n)\n\n- Space complexity:\nO(1)\n\n# Code\n```\nimport pandas as pd\n\ndef selectData(students: pd.DataFrame) -> pd.DataFrame:\n return students.loc[students["student_id"] == 101, "name" :]\n``` | 2 | 0 | ['Pandas'] | 0 |
select-data | Simple | One line code | Python | Query method | ⭐⭐⭐⭐⭐ | simple-one-line-code-python-query-method-soqj | Approach\n\nDataframe.query() method only works if the column name doesn\u2019t have any empty spaces. So before applying the method, spaces in column names are | AniruddhA77 | NORMAL | 2023-10-04T06:01:35.585957+00:00 | 2023-10-04T06:01:35.585975+00:00 | 639 | false | # Approach\n\nDataframe.query() method only works if the column name doesn\u2019t have any empty spaces. So before applying the method, spaces in column names are replaced with \u2018_\u2019 .\nThe data is filtered on the basis of condition given inside query.\n\n`DataFrame.query(expr, inplace=False, **kwargs)`\nwhere ... | 2 | 0 | ['Python', 'Python3', 'Pandas', 'Python ML'] | 0 |
select-data | Beats 93% | beats-93-by-rmsxypsgwl-v3t8 | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | rMSxyPSgWL | NORMAL | 2025-04-09T10:26:17.980542+00:00 | 2025-04-09T10:26:17.980542+00:00 | 50 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 1 | 0 | ['Pandas'] | 0 |
select-data | Simple and Easy Pandas Solution | simple-and-easy-pandas-solution-by-gokul-dw0y | Code | gokulram2221 | NORMAL | 2025-04-02T11:11:31.560471+00:00 | 2025-04-02T11:11:31.560471+00:00 | 119 | false | # Code
```pythondata []
import pandas as pd
def selectData(students: pd.DataFrame) -> pd.DataFrame:
return students.loc[students['student_id'] == 101, ['name', 'age']]
``` | 1 | 0 | ['Pandas'] | 0 |
select-data | Solution for Select Data in Python using Pandas. | solution-for-select-data-in-python-using-61px | IntuitionThis was a problem based on the inbuilt functions of a DataFrame. More on that in Approach.ApproachWe use the loc method on the students DataFrame wher | aahan0511 | NORMAL | 2025-03-23T09:50:58.426796+00:00 | 2025-03-23T16:43:24.498458+00:00 | 111 | false | # Intuition
This was a problem based on the inbuilt functions of a DataFrame. More on that in [Approach](#Approach).
# Approach
We use the `loc` method on the `students` DataFrame where we specify that the `student["student_id"] == 101`, which means `student_id` is `101` and we return the `name` and the `age`, `["name... | 1 | 0 | ['Array', 'Hash Table', 'Pandas'] | 0 |
select-data | Pandas | pandas-by-adchoudhary-84jk | Code | adchoudhary | NORMAL | 2025-02-28T02:34:10.394540+00:00 | 2025-02-28T02:34:10.394540+00:00 | 164 | false | # Code
```pythondata []
import pandas as pd
def selectData(students: pd.DataFrame) -> pd.DataFrame:
return students.loc[students["student_id"] == 101, ["name", "age"]]
``` | 1 | 0 | ['Pandas'] | 0 |
select-data | Problem no. 2880 in pandas in easy method | problem-no-2880-in-pandas-in-easy-method-xeyo | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | Tushar_1920 | NORMAL | 2025-02-23T16:01:06.818121+00:00 | 2025-02-23T16:01:06.818121+00:00 | 151 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 1 | 0 | ['Pandas'] | 0 |
select-data | Day 4 | Introduction to Pandas | day-4-introduction-to-pandas-by-x2e22ppn-tt95 | Complexity
Time complexity: O(n)
Space complexity: O(k) - Number of Rows
Code | x2e22PPnh5 | NORMAL | 2025-02-13T03:20:19.179347+00:00 | 2025-02-13T03:20:19.179347+00:00 | 171 | false | # Complexity
- Time complexity: O(n)
- Space complexity: O(k) - Number of Rows
# Code
```pythondata []
import pandas as pd
def selectData(students: pd.DataFrame) -> pd.DataFrame:
return students.loc[students["student_id"] == 101, ["name", "age"]]
``` | 1 | 0 | ['Python3', 'Pandas'] | 0 |
select-data | simple one line output | simple-one-line-output-by-harshmasiwal-jda1 | IntuitionApproachd=tablename.loc[tablename['columnname']==refine , ['columnfetch','columnfetch']]Complexity
Time complexity:
Space complexity:
Code | harshmasiwal | NORMAL | 2025-01-16T07:51:55.307292+00:00 | 2025-01-16T07:51:55.307292+00:00 | 281 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
d=tablename.loc[tablename['columnname']==refine , ['columnfetch','columnfetch']]
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.... | 1 | 0 | ['Pandas'] | 0 |
select-data | 🚀1-row solution that beats 999999999,99% (3 variant)🚀 | 1-row-solution-that-beats-99999999999-3-z9com | ApproachThe first variant it's the best practice
query (read pandas.DataFrame.query)
Main parameters
expr - our expression if u want many filter then use next | cesar4ik | NORMAL | 2025-01-13T09:59:04.613003+00:00 | 2025-01-13T09:59:04.613003+00:00 | 225 | false | # Approach
The first variant it's the best practice
- query (read pandas.DataFrame.query)
- Main parameters
- **expr** - our expression if u want many filter then use next syntax df.query('(col1 == 101) | (col2 == "Ulysses")'). Notice that I use different types of quotation marks!
- **inplace=Fals... | 1 | 0 | ['Pandas'] | 0 |
select-data | No one seems to have used this method | no-one-seems-to-have-used-this-method-by-0wjw | Intuition\nWhy do we need to tell loc to return "name" and "age"? what if we dont know the column headings and just want to return the entire row?\n\n# Approach | u5n9JCF6S7 | NORMAL | 2024-08-31T13:16:01.599388+00:00 | 2024-08-31T13:16:01.599419+00:00 | 15 | false | # Intuition\nWhy do we need to tell loc to return "name" and "age"? what if we dont know the column headings and just want to return the entire row?\n\n# Approach\nstudents df is not indexed, first create an index for student_id and set inplace = True, find the row "101" in student_id and then return the entire row.\n\... | 1 | 0 | ['Pandas'] | 0 |
select-data | Python pandas | python-pandas-by-shreyagarg63-098v | Complexity\n- Time complexity:\nO(n)\n\n- Space complexity:\nO(1)\n\n# Code\npython []\nimport pandas as pd\n\ndef selectData(students: pd.DataFrame) -> pd.Data | ShreyaGarg63 | NORMAL | 2024-08-23T13:58:57.847551+00:00 | 2024-08-23T13:58:57.847584+00:00 | 5 | false | # Complexity\n- Time complexity:\nO(n)\n\n- Space complexity:\nO(1)\n\n# Code\n```python []\nimport pandas as pd\n\ndef selectData(students: pd.DataFrame) -> pd.DataFrame:\n return students.loc[students["student_id"] == 101,["name","age"]]\n``` | 1 | 0 | ['Pandas'] | 0 |
select-data | easy to learn | easy-to-learn-by-yogesh_12-rvaz | Intuition\n Describe your first thoughts on how to solve this problem. \n\n# Approach\n Describe your approach to solving the problem. \n\n# Complexity\n- Time | Yogesh_12__ | NORMAL | 2024-08-19T07:17:40.283462+00:00 | 2024-08-19T07:17:40.283486+00:00 | 574 | false | # Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\n\n# Approach\n<!-- Describe your approach to solving the problem. -->\n\n# Complexity\n- Time complexity:\n<!-- Add your time complexity here, e.g. $$O(n)$$ -->\n\n- Space complexity:\n<!-- Add your space complexity here, e.g. $$O(n)$$ --... | 1 | 0 | ['Pandas'] | 0 |
select-data | One line solution | 100% beats | one-line-solution-100-beats-by-vigneshva-d27n | \n\n# Code\n\nimport pandas as pd\n\ndef selectData(students: pd.DataFrame) -> pd.DataFrame:\n return students.loc[students["student_id"] == 101,[\'name\',\' | vigneshvaran0101 | NORMAL | 2024-07-02T17:29:38.156773+00:00 | 2024-07-02T17:29:38.156795+00:00 | 10 | false | \n\n# Code\n```\nimport pandas as pd\n\ndef selectData(students: pd.DataFrame) -> pd.DataFrame:\n return students.loc[students["student_id"] == 101,[\'name\',\'age\']]\n \n``` | 1 | 0 | ['Pandas'] | 0 |
select-data | Easiest one line solution. | easiest-one-line-solution-by-deleted_use-qrmm | Intuition\nThe problem likely involves filtering data based on certain criteria, specifically selecting rows where the student ID is 101.\n\n# Approach\nYour ap | deleted_user | NORMAL | 2024-06-09T08:41:40.323889+00:00 | 2024-06-09T08:45:03.925960+00:00 | 217 | false | # Intuition\nThe problem likely involves filtering data based on certain criteria, specifically selecting rows where the student ID is 101.\n\n# Approach\nYour approach seems to use the Pandas library to filter a DataFrame. You\'re selecting rows where the student ID is 101 and extracting only the \'name\' and \'age\' ... | 1 | 0 | ['Pandas'] | 0 |
select-data | ✔️✔️✔️2 easy approaches - 1 liner - PANDAS - with & without using loc ⚡⚡⚡ | 2-easy-approaches-1-liner-pandas-with-wi-eokx | approach 1 - using loc\n\nimport pandas as pd\ndef selectData(students: pd.DataFrame) -> pd.DataFrame:\n\n return students.loc[students[\'student_id\'] == 10 | anish_sule | NORMAL | 2024-04-10T06:55:53.996186+00:00 | 2024-04-10T07:03:53.997905+00:00 | 241 | false | # approach 1 - using `loc`\n```\nimport pandas as pd\ndef selectData(students: pd.DataFrame) -> pd.DataFrame:\n\n return students.loc[students[\'student_id\'] == 101, [\'name\', \'age\']]\n```\n\n# approach 2 - without using `loc`\n```\nimport pandas as pd\ndef selectData(students: pd.DataFrame) -> pd.DataFrame:\n ... | 1 | 0 | ['Pandas'] | 0 |
select-data | easy solution | easy-solution-by-nandanadileep-sp41 | Intuition\n Describe your first thoughts on how to solve this problem. \n\n# Approach\n Describe your approach to solving the problem. \n\n# Complexity\n- Time | nandanadileep | NORMAL | 2023-12-12T11:02:29.090580+00:00 | 2023-12-12T11:02:29.090604+00:00 | 1,198 | false | # Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\n\n# Approach\n<!-- Describe your approach to solving the problem. -->\n\n# Complexity\n- Time complexity:\n<!-- Add your time complexity here, e.g. $$O(n)$$ -->\n\n- Space complexity:\n<!-- Add your space complexity here, e.g. $$O(n)$$ --... | 1 | 0 | ['Pandas'] | 0 |
select-data | 1 line with masking | 1-line-with-masking-by-salvadordali-3wc4 | Intuition\nYou need three things. Mask which tells what are the rows you select then do df[mask] and then take corresponding columns\n\n# Code\n\nimport pandas | salvadordali | NORMAL | 2023-10-04T05:18:30.892433+00:00 | 2023-10-04T05:18:30.892455+00:00 | 1,365 | false | # Intuition\nYou need three things. Mask which tells what are the rows you select then do `df[mask]` and then take corresponding columns\n\n# Code\n```\nimport pandas as pd\n\ndef selectData(df: pd.DataFrame) -> pd.DataFrame:\n return df[df[\'student_id\'] == 101][[\'name\', \'age\']]\n``` | 1 | 0 | ['Pandas'] | 1 |
select-data | Select Data | select-data-by-robaireth-dwdl | Code | RobaireTH | NORMAL | 2025-04-11T00:42:36.978799+00:00 | 2025-04-11T00:42:36.978799+00:00 | 1 | false |
# Code
```pythondata []
import pandas as pd
def selectData(students: pd.DataFrame):
return students[students.student_id == 101][["name", "age"]]
``` | 0 | 0 | ['Pandas'] | 0 |
select-data | 1 line code | 1-line-code-by-durga_raju-ig1c | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | durga_raju | NORMAL | 2025-04-09T09:08:40.475201+00:00 | 2025-04-09T09:08:40.475201+00:00 | 1 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | select data | select-data-by-rajshivam352-5qih | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | rajshivam352 | NORMAL | 2025-04-06T14:43:57.695475+00:00 | 2025-04-06T14:43:57.695475+00:00 | 1 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | day4 | day4-by-ingridtseng-pq0l | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | ingridtseng | NORMAL | 2025-04-03T13:17:30.172264+00:00 | 2025-04-03T13:17:30.172264+00:00 | 1 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | Pandas lesson 5 | pandas-lesson-5-by-titouanm-vdee | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | titouanm | NORMAL | 2025-04-03T06:23:02.404290+00:00 | 2025-04-03T06:23:02.404290+00:00 | 1 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | select data | select-data-by-d8750-vf6b | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | d8750 | NORMAL | 2025-04-02T13:00:39.027454+00:00 | 2025-04-02T13:00:39.027454+00:00 | 2 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | select data | select-data-by-d8750-ilr6 | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | d8750 | NORMAL | 2025-04-02T13:00:34.965458+00:00 | 2025-04-02T13:00:34.965458+00:00 | 0 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | Easy Solution | easy-solution-by-utkarsh-kushwaha-3aj1 | def selectData(students: pd.DataFrame) -> pd.DataFrame:
return students.loc[students['student_id'] == 101, ['name', 'age']] | utkarsh-kushwaha | NORMAL | 2025-04-01T16:48:44.469602+00:00 | 2025-04-01T16:48:44.469602+00:00 | 3 | false | def selectData(students: pd.DataFrame) -> pd.DataFrame:
return students.loc[students['student_id'] == 101, ['name', 'age']]
| 0 | 0 | ['Pandas'] | 0 |
select-data | Solution | solution-by-krupadharamshi-ex76 | Code | KrupaDharamshi | NORMAL | 2025-03-31T08:05:12.961642+00:00 | 2025-03-31T08:05:12.961642+00:00 | 2 | false |
# Code
```pythondata []
import pandas as pd
def selectData(students: pd.DataFrame) -> pd.DataFrame:
return students.loc[students["student_id"] == 101] [["name", "age"]]
``` | 0 | 0 | ['Pandas'] | 0 |
select-data | label-based data selection | label-based-data-selection-by-ojs4yvkyqr-syi2 | IntuitionStudent Ulysses has student_id = 101, we select the name and age.Approach.locComplexity
Time Complexity: 𝑂(𝑛)
Space Complexity: 𝑂(𝑛+𝑘)
Code | ojs4YVKYqR | NORMAL | 2025-03-30T08:55:51.172572+00:00 | 2025-03-30T08:55:51.172572+00:00 | 5 | false | # Intuition
Student Ulysses has student_id = 101, we select the name and age.
# Approach
.loc
# Complexity
- Time Complexity: 𝑂(𝑛)
- Space Complexity: 𝑂(𝑛+𝑘)
# Code
```pythondata []
import pandas as pd
def selectData(students: pd.DataFrame) -> pd.DataFrame:
return students.loc[students['student_id']==101 ... | 0 | 0 | ['Pandas'] | 0 |
select-data | Super-Easy Python Solution | Beginner friendly | super-easy-python-solution-beginner-frie-v6pm | Code | rajsekhar5161 | NORMAL | 2025-03-30T07:52:34.701524+00:00 | 2025-03-30T07:52:34.701524+00:00 | 4 | false |
# Code
```pythondata []
import pandas as pd
def selectData(students: pd.DataFrame) -> pd.DataFrame:
df=pd.DataFrame(students)
return df.loc[df['student_id']==101,['name','age']]
``` | 0 | 0 | ['Array', 'Python', 'Python3', 'Pandas'] | 0 |
select-data | 1 liner | 1-liner-by-plavak_d10-8web | Code | plavak_d10 | NORMAL | 2025-03-29T18:19:38.418579+00:00 | 2025-03-29T18:19:38.418579+00:00 | 2 | false |
# Code
```pythondata []
import pandas as pd
def selectData(students: pd.DataFrame) -> pd.DataFrame:
return students[students["student_id"]==101][['name','age']]
``` | 0 | 0 | ['Pandas'] | 0 |
select-data | My First Submission | my-first-submission-by-acabato-f79o | Complexity
Time complexity: O(N)
Space complexity: O(N)
Code | ACabato | NORMAL | 2025-03-27T03:07:42.961711+00:00 | 2025-03-27T03:07:42.961711+00:00 | 2 | false | # Complexity
- Time complexity: O(N)
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity: O(N)
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
```pythondata []
import pandas as pd
def selectData(students: pd.DataFrame) -> pd.DataFrame:
# Filtering ulysses' row from students
... | 0 | 0 | ['Pandas'] | 0 |
select-data | Pythonic Solution | pythonic-solution-by-ikfb47ngox-59bc | IntuitionUse the built-in Pandas function for locating a rowApproachUse .loc for label based selectingComplexity
Time complexity:
O(1) for selecting
Space compl | ikFB47NGox | NORMAL | 2025-03-26T19:19:22.246364+00:00 | 2025-03-26T19:19:22.246364+00:00 | 1 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
Use the built-in Pandas function for locating a row
# Approach
<!-- Describe your approach to solving the problem. -->
Use .loc for label based selecting
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -... | 0 | 0 | ['Pandas'] | 0 |
select-data | Easy and Simple solution | easy-and-simple-solution-by-ulrichwolves-ult9 | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | ulrichwolves | NORMAL | 2025-03-26T15:14:45.211758+00:00 | 2025-03-26T15:14:45.211758+00:00 | 3 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
``... | 0 | 0 | ['Pandas'] | 0 |
select-data | select data | select-data-by-kittur_manjunath-61rl | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | kittur_manjunath | NORMAL | 2025-03-26T09:29:53.116329+00:00 | 2025-03-26T09:29:53.116329+00:00 | 1 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | select data | select-data-by-maheshmarathe05-4d4n | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | MaheshMarathe05 | NORMAL | 2025-03-25T17:26:17.093414+00:00 | 2025-03-25T17:26:17.093414+00:00 | 1 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | Select Data | select-data-by-shalinipaidimuddala-jyat | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | ShaliniPaidimuddala | NORMAL | 2025-03-24T08:17:46.321638+00:00 | 2025-03-24T08:17:46.321638+00:00 | 1 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | Solution | solution-by-alinaqwertyuiop-s3cf | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | alinaqwertyuiop | NORMAL | 2025-03-24T01:27:56.387039+00:00 | 2025-03-24T01:27:56.387039+00:00 | 1 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | Select Data | select-data-by-naeem_abd-kyw7 | Understanding the CodeDataFrame Selection: studentsRow Filtering: students['student_id'] == 101students['student_id'] accesses the student_id column of the stud | Naeem_ABD | NORMAL | 2025-03-23T14:29:38.797909+00:00 | 2025-03-23T14:29:38.797909+00:00 | 1 | false |
# Understanding the Code
# DataFrame Selection: students
Row Filtering: students['student_id'] == 101
students['student_id'] accesses the student_id column of the students DataFrame.
students['student_id'] == 101 creates a Boolean Series where each entry is True if the corresponding student_id is 101, and False oth... | 0 | 0 | ['Pandas'] | 0 |
select-data | 📌 Explained solution using loc 📌 | explained-solution-using-loc-by-iazinsch-dywp | 🎯 Selecting a Specific Student's Data in Pandas📌 Problem BreakdownWe are given a Pandas DataFrame named students with three columns:
student_id (integer) → Uniq | iazinschi2005 | NORMAL | 2025-03-22T13:55:48.196283+00:00 | 2025-03-22T13:55:48.196283+00:00 | 2 | false | # 🎯 Selecting a Specific Student's Data in Pandas
## 📌 Problem Breakdown
We are given a **Pandas DataFrame** named `students` with three columns:
- `student_id` (integer) → Unique ID for each student.
- `name` (string) → Name of the student.
- `age` (integer) → Age of the student.
Our goal is to **extract only the ... | 0 | 0 | ['Pandas'] | 0 |
select-data | Select Data using Panda DataFrame | select-data-using-panda-dataframe-by-qpa-2dyr | Code | QPaJdvI7XA | NORMAL | 2025-03-21T11:30:57.188567+00:00 | 2025-03-21T11:30:57.188567+00:00 | 1 | false | # Code
```pythondata []
import pandas as pd
def selectData(students: pd.DataFrame) -> pd.DataFrame:
df = pd.DataFrame(students)
fetch_data = df['student_id'] == 101
return df.loc[fetch_data, ['name', 'age']]
``` | 0 | 0 | ['Python3', 'Pandas'] | 0 |
select-data | leetcode | leetcode-by-shalini_selva02-piyb | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | shalini_selva02 | NORMAL | 2025-03-20T14:09:10.423445+00:00 | 2025-03-20T14:09:10.423445+00:00 | 1 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | 3 EASY WAYS | 3-easy-ways-by-kahkasha_d-oszv | null | kahkasha_D | NORMAL | 2025-03-18T18:36:18.951222+00:00 | 2025-03-18T18:36:18.951222+00:00 | 2 | false |
```pythondata []
import pandas as pd
# USE LOC
def selectData(students: pd.DataFrame) -> pd.DataFrame:
return students.loc[students["student_id"] == 101, ["name", "age"]]
# USE QUERY
def selectData(students: pd.DataFrame) -> pd.DataFrame:
return students.query("student_id == 101")[["name", "age"]]
# USE F... | 0 | 0 | ['Pandas'] | 0 |
select-data | easy | easy-by-macha_pratisha-r5bj | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | macha_pratisha | NORMAL | 2025-03-18T14:45:38.845332+00:00 | 2025-03-18T14:45:38.845332+00:00 | 1 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | Select Data | select-data-by-i3twd28w8n-ehd6 | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | I3Twd28W8N | NORMAL | 2025-03-11T05:10:30.810450+00:00 | 2025-03-11T05:10:30.810450+00:00 | 3 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | select data | select-data-by-bala_bi-bt0r | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | Bala_bi | NORMAL | 2025-03-03T07:03:04.217454+00:00 | 2025-03-03T07:03:04.217454+00:00 | 4 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | Simple and quick solution | simple-and-quick-solution-by-rasikapandi-5usx | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | rasikapandit33 | NORMAL | 2025-03-01T15:47:57.604781+00:00 | 2025-03-01T15:47:57.604781+00:00 | 2 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | Filtering the Columns from Dataframe | filtering-the-columns-from-dataframe-by-5ya0l | Filtering the data from students dataframe by selecting the name and age columns**Breakdown:
**df[df['student_id'] == 101] → Gets the row where student_id = 101 | NavyaYadagiri | NORMAL | 2025-02-27T09:44:26.649353+00:00 | 2025-02-27T09:44:26.649353+00:00 | 4 | false | Filtering the data from students dataframe by selecting the name and age columns
**Breakdown:
**
df[df['student_id'] == 101] → Gets the row where student_id = 101 (This is boolean selection)
[['name', 'age']] → Selects only the name and age columns. (This is selecting the specific columns)
# Code
```pythondata []... | 0 | 0 | ['Pandas'] | 0 |
select-data | using loc of specified row | using-loc-of-specified-row-by-teja_puram-navv | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | Teja_puramshetti | NORMAL | 2025-02-26T10:35:11.552891+00:00 | 2025-02-26T10:35:11.552891+00:00 | 3 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | simple solution | simple-solution-by-faizan_farhad-70ht | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | Faizan_farhad | NORMAL | 2025-02-24T10:37:56.866351+00:00 | 2025-02-24T10:37:56.866351+00:00 | 2 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | 🚀 Python3: Select Rows by Condition | 99.12% Runtime | python3-select-rows-by-condition-9912-ru-xmhi | IntuitionWe need to efficiently filter aDataFrameto select rows wherestudent_id == 101and return only thenameandagecolumns. The naive approach uses.loc[], but w | namebogsecret | NORMAL | 2025-02-23T04:35:57.179543+00:00 | 2025-02-23T04:35:57.179543+00:00 | 2 | false | # Intuition
We need to efficiently filter a `DataFrame` to select rows where `student_id == 101` and return only the `name` and `age` columns. The naive approach uses `.loc[]`, but we can optimize performance by leveraging NumPy's efficient array operations.
# Approach
1. **Use `.values` for Fast Boolean Indexing*... | 0 | 0 | ['Pandas'] | 0 |
select-data | Select Data Based on Specific student_id – Simple & Clean Solution | select-data-based-on-specific-student_id-5r9x | IntuitionApproachComplexity
Time complexity:O(N)
Space complexity:O(N) (linear in terms of the number of rows)
Code | hxHTE2C44x | NORMAL | 2025-02-22T20:55:30.234421+00:00 | 2025-02-22T20:55:30.234421+00:00 | 3 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:O(N)
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:O(N) (linear in terms of the number of rows)
<!-- Add your sp... | 0 | 0 | ['Pandas'] | 0 |
select-data | Select Data Based on Specific student_id – Simple & Clean Solution | select-data-based-on-specific-student_id-ezoc | IntuitionApproachComplexity
Time complexity:O(N)
Space complexity:O(N) (linear in terms of the number of rows)
Code | hxHTE2C44x | NORMAL | 2025-02-22T20:40:44.804497+00:00 | 2025-02-22T20:40:44.804497+00:00 | 2 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:O(N)
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:O(N) (linear in terms of the number of rows)
<!-- Add your sp... | 0 | 0 | ['Pandas'] | 0 |
select-data | My 18th Problem (pd) ;) | my-18th-problem-pd-by-chefcurry4-9zi7 | ApproachUse pandas filtering to extract the row where student_id = 101, then select only the name and age columns.Complexity
Time complexity:O(n)
Space complex | Chefcurry4 | NORMAL | 2025-02-20T00:03:04.222628+00:00 | 2025-02-20T00:03:04.222628+00:00 | 3 | false | # Approach
<!-- Describe your approach to solving the problem. -->
Use pandas filtering to extract the row where student_id = 101, then select only the name and age columns.
# Complexity
- Time complexity: $$O(n)$$
<!-- Add your time complexity here, e.g. c -->
- Space complexity: $$O(1)$$
<!-- Add your space compl... | 0 | 0 | ['Pandas'] | 0 |
select-data | DAY-4 | Pandas | Select Data | Beats 87.85% | day-4-pandas-select-data-beats-8785-by-n-nb10 | Complexity
Time complexity: O(N)
Space complexity: O(1)
Code | Nidhi_Kamal | NORMAL | 2025-02-18T13:13:28.887636+00:00 | 2025-02-18T13:13:28.887636+00:00 | 3 | false | # Complexity
- Time complexity: O(N)
- Space complexity: O(1)
# Code
```pythondata []
import pandas as pd
def selectData(students: pd.DataFrame) -> pd.DataFrame:
return students.loc[students['student_id'] == 101, ['name', 'age']]
``` | 0 | 0 | ['Pandas'] | 0 |
select-data | Pandas Easy Ways Solution | pandas-easy-ways-solution-by-a_nishkumar-hqy7 | IntuitionThe students DataFrame has three columns:
student_id (type: int) - a unique identifier for the student.
name (type: object, which is generally a string | A_nishkumar | NORMAL | 2025-02-11T14:43:53.936138+00:00 | 2025-02-11T14:43:53.936138+00:00 | 4 | false | # Intuition
The students DataFrame has three columns:
1. student_id (type: int) - a unique identifier for the student.
2. name (type: object, which is generally a string in pandas) - the student's name.
3. age (type: int) - the student's age.
# Overview
This problem provides us with a pandas DataFrame and requires us ... | 0 | 0 | ['Pandas'] | 0 |
select-data | Simple and easy solution | simple-and-easy-solution-by-men0enmcx1-ii0d | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | MEN0enMCx1 | NORMAL | 2025-02-06T19:17:37.534094+00:00 | 2025-02-06T19:17:37.534094+00:00 | 3 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | Sql-like solution | sql-like-solution-by-ardipazij-2mga | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | ardipazij | NORMAL | 2025-02-03T08:17:05.223643+00:00 | 2025-02-03T08:17:05.223643+00:00 | 5 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | Best way to solve | best-way-to-solve-by-naincyrohela1927-2ybr | IntuitionPandas DataFrame.loc attribute accesses a group of rows and columns by label(s) or a boolean array in the given Pandas DataFrame.ApproachStudents is th | NaincyRohela1927 | NORMAL | 2025-01-29T08:34:15.347798+00:00 | 2025-01-29T08:34:15.347798+00:00 | 5 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
Pandas DataFrame.loc attribute accesses a group of rows and columns by label(s) or a boolean array in the given Pandas DataFrame.
# Approach
<!-- Describe your approach to solving the problem. -->
Students is the name of the data frame whe... | 0 | 0 | ['Pandas'] | 0 |
select-data | Easy Solution with Explanation | easy-solution-with-explanation-by-aisha_-44w6 | IntuitionThe intuition for this problem is to filter the DataFrame to select the row where student_id is 101, and then select only the 'name' and 'age' columns | Aisha_Hadi | NORMAL | 2025-01-29T06:54:06.440711+00:00 | 2025-01-29T06:54:06.440711+00:00 | 4 | false | # Intuition
The intuition for this problem is to filter the DataFrame to select the row where student_id is 101, and then select only the 'name' and 'age' columns from that row.
# Approach
We use the .loc[] method to filter rows where student_id is 101 and select only the "name" and "age" columns. First, a Boolean mas... | 0 | 0 | ['Pandas'] | 0 |
select-data | Python Bro | python-bro-by-shrijithsm-rye0 | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | shrijithsm | NORMAL | 2025-01-28T17:11:45.491749+00:00 | 2025-01-28T17:11:45.491749+00:00 | 6 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Python', 'Python3', 'Pandas'] | 0 |
select-data | Filtering out the Data | filtering-out-the-data-by-pratyushdas-wckb | Fetch Student DataIntuition
First thoughts: The goal is to extract specific columns (name and age) for a student with a given student_id.
Focus: Filter the Data | PratyushDas | NORMAL | 2025-01-27T10:11:03.072016+00:00 | 2025-01-27T10:11:03.072016+00:00 | 3 | false | # Fetch Student Data
## Intuition
- **First thoughts**: The goal is to extract specific columns (`name` and `age`) for a student with a given `student_id`.
- **Focus**: Filter the DataFrame efficiently to obtain the desired information.
## Approach
- **Library import**: Import the pandas library for data manipulation... | 0 | 0 | ['Pandas'] | 0 |
select-data | BEST SOLUTION | best-solution-by-rhyd3dxa6x-bv52 | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | rhyD3DxA6x | NORMAL | 2025-01-24T11:52:00.420479+00:00 | 2025-01-24T11:52:00.420479+00:00 | 3 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | Follow industry standards by always creating a filter.🚀 | follow-industry-standards-by-always-crea-pmxo | IntuitionFollow industry standards by always creating a filterCode | aayushmaanhooda | NORMAL | 2025-01-23T08:41:49.362671+00:00 | 2025-01-23T08:41:49.362671+00:00 | 3 | false | # Intuition
Follow industry standards by always creating a filter
# Code
```pythondata []
import pandas as pd
def selectData(students: pd.DataFrame) -> pd.DataFrame:
# Create a filter
filt = (students['student_id'] == 101)
# use loc to fetch that row with that filter
return students.loc[filt, ['na... | 0 | 0 | ['Pandas'] | 0 |
select-data | one line solution | one-line-solution-by-prettywired-czrs | IntuitionApproachSince .loc gets the row you want, we can fulfill condition through that however we also dont want the result to show student_id so clarify whic | Prettywired | NORMAL | 2025-01-21T07:42:47.310479+00:00 | 2025-01-21T07:42:47.310479+00:00 | 6 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
Since .loc gets the row you want, we can fulfill condition through that however we also dont want the result to show student_id so clarify which columns to show.
# Complex... | 0 | 0 | ['Pandas'] | 0 |
select-data | Python_EAsy | python_easy-by-prabhat7667-wdw8 | IntuitionApproachComplexity
Time complexity:
o(n)
Space complexity:
o(1)Code | prabhat7667 | NORMAL | 2025-01-18T13:21:38.270991+00:00 | 2025-01-18T13:21:38.270991+00:00 | 6 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
o(n)
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
o(1)
... | 0 | 0 | ['Pandas'] | 0 |
select-data | Select Data | select-data-by-reneematthew-ltva | IntuitionTo Select data from the Table givenApproachComplexity
Time complexity:
547 ms
Beats 23.36%
Space complexity:
Code | ReneeMatthew | NORMAL | 2025-01-17T03:17:56.131612+00:00 | 2025-01-17T03:17:56.131612+00:00 | 3 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
To Select data from the Table given
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
<i>547 ms
Beats 23.36%</i>
- Space complexity:
... | 0 | 0 | ['Pandas'] | 0 |
select-data | we can do this | we-can-do-this-by-gaurav_kumar_borad-qcf4 | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | GAURAV_KUMAR_BORAD | NORMAL | 2025-01-15T19:02:18.745567+00:00 | 2025-01-15T19:02:18.745567+00:00 | 3 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | Easy Solution | easy-solution-by-archana154799-ana0 | Code | Archana154799 | NORMAL | 2025-01-15T09:40:37.524142+00:00 | 2025-01-15T09:40:37.524142+00:00 | 2 | false |
# Code
```pythondata []
import pandas as pd
def selectData(students: pd.DataFrame) -> pd.DataFrame:
df = pd.DataFrame()
df = students[students["student_id"] == 101]
df = df.filter(items=["name","age"])
return df
``` | 0 | 0 | ['Pandas'] | 0 |
select-data | Select data from dataset | select-data-from-dataset-by-prathmesh_52-73ne | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | prathmesh_5214 | NORMAL | 2025-01-09T13:55:18.003231+00:00 | 2025-01-09T13:55:18.003231+00:00 | 5 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | Simple Solution | simple-solution-by-muhammad_saleem-clfw | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | Muhammad_Saleem | NORMAL | 2025-01-09T08:59:11.746380+00:00 | 2025-01-09T08:59:11.746380+00:00 | 5 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | Easy solution | easy-solution-by-koushik_55_koushik-ubyz | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | Koushik_55_Koushik | NORMAL | 2025-01-08T13:05:49.736898+00:00 | 2025-01-08T13:05:49.736898+00:00 | 3 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | 2880. Select Data | 2880-select-data-by-g8xd0qpqty-kdev | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | G8xd0QPqTy | NORMAL | 2025-01-07T03:52:18.514578+00:00 | 2025-01-07T03:52:18.514578+00:00 | 3 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | query() used | query-used-by-rupam_noni-cgqh | null | rupam_noni | NORMAL | 2025-01-06T14:11:57.412349+00:00 | 2025-01-06T14:11:57.412349+00:00 | 2 | false |
```pythondata []
import pandas as pd
def selectData(students: pd.DataFrame) -> pd.DataFrame:
return students.query("student_id == 101")[['name','age']]
``` | 0 | 0 | ['Pandas'] | 0 |
select-data | Easy CODE For Beginner | easy-code-for-beginner-by-mueen_khattak-w524 | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | Mueen_Khattak | NORMAL | 2025-01-05T17:11:09.300751+00:00 | 2025-01-05T17:11:09.300751+00:00 | 0 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | Easy CODE For Beginner | easy-code-for-beginner-by-mueen_khattak-azmr | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | Mueen_Khattak | NORMAL | 2025-01-05T17:11:01.808479+00:00 | 2025-01-05T17:11:01.808479+00:00 | 2 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | 2880. Select Data | 2880-select-data-by-jessica_mangla-cb7s | IntuitionThe goal of the selectData function is to filter a DataFrame to get the data of a specific student with a student_id of 101. Specifically, the function | Jessica_Mangla | NORMAL | 2025-01-04T13:51:52.903539+00:00 | 2025-01-04T13:51:52.903539+00:00 | 4 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
The goal of the selectData function is to filter a DataFrame to get the data of a specific student with a student_id of 101. Specifically, the function is meant to return a subset of the DataFrame containing the name and age of the student ... | 0 | 0 | ['Pandas'] | 0 |
select-data | Selecting Specific Data from a DataFrame Based on a Condition | selecting-specific-data-from-a-dataframe-ij1t | # Intuition
Filter the DataFrame for rows matching the given student_id and select the required columns (name, age).# Approach
Use loc to filter rows based on s | Mohdmustufa | NORMAL | 2024-12-30T16:26:29.570079+00:00 | 2024-12-30T16:26:29.570079+00:00 | 5 | false | **# Intuition**
Filter the DataFrame for rows matching the given `student_id` and select the required columns (`name`, `age`).
**# Approach**
Use `loc` to filter rows based on `student_id` and retrieve only the necessary columns.
**# Complexity**
- **Time complexity**: $$O(n)$$ — Filtering the DataFrame involve... | 0 | 0 | ['Pandas'] | 0 |
select-data | 2880. Select Data | 2880-select-data-by-py_nitin-qls6 | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | py_nitin | NORMAL | 2024-12-25T16:55:33.686454+00:00 | 2024-12-25T16:55:33.686454+00:00 | 8 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Pandas'] | 0 |
select-data | Simplest Solution Python ✅ | Please Upvote 😇 | simplest-solution-python-please-upvote-b-isp8 | IntuitionUsing query function, index or ilocApproachUsing the pandas library, select the name and age of the student with student_id 101 from the given DataFram | varunve | NORMAL | 2024-12-25T05:40:24.793745+00:00 | 2024-12-25T05:40:24.793745+00:00 | 4 | false | # Intuition
Using query function, index or iloc
# Approach
Using the pandas library, select the name and age of the student with student_id 101 from the given DataFrame students.
Return a DataFrame containing the name and age of the student with student_id 101.
The query method is used to select rows from a DataFrame... | 0 | 0 | ['Pandas'] | 0 |
select-data | Using iloc | using-iloc-by-apjs-ob5k | IntuitionIn pandas, loc and iloc are used to access rows and columns in a DataFrame. iloc Accesses rows and columns by integer positions.ApproachSyntax: df.iloc | APJS | NORMAL | 2024-12-25T04:11:54.782176+00:00 | 2024-12-25T04:11:54.782176+00:00 | 4 | false | # Intuition
In pandas, `loc` and `iloc` are used to access rows and columns in a DataFrame. `iloc` Accesses rows and columns by integer positions.
# Approach
Syntax: `df.iloc[row_index, column_index]`
# Code
```pythondata []
import pandas as pd
def selectData(students: pd.DataFrame) -> pd.DataFrame:
result = s... | 0 | 0 | ['Pandas'] | 0 |
select-data | Easy One Line Solution | easy-one-line-solution-by-jagadeesh27-l4uc | IntuitionApproach.loc used to locate the data specified. In this case, it is student_id and [name, age] columns are also passed as parameter.Complexity
Time co | Jagadeesh27 | NORMAL | 2024-12-23T17:41:41.553041+00:00 | 2024-12-23T17:41:41.553041+00:00 | 3 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
.loc used to locate the data specified. In this case, it is student_id and [name, age] columns are also passed as parameter.
# Complexity
- Time complexity:
<!-- Add your... | 0 | 0 | ['Pandas'] | 0 |
bulls-and-cows | One pass Java solution | one-pass-java-solution-by-ruben3-1ynw | The idea is to iterate over the numbers in secret and in guess and count all bulls right away. For cows maintain an array that stores count of the number appear | ruben3 | NORMAL | 2015-10-30T22:17:26+00:00 | 2018-10-23T06:47:47.042945+00:00 | 72,641 | false | The idea is to iterate over the numbers in `secret` and in `guess` and count all bulls right away. For cows maintain an array that stores count of the number appearances in `secret` and in `guess`. Increment cows when either number from `secret` was already seen in `guest` or vice versa.\n\n\n public String getHint(... | 886 | 4 | ['Java'] | 66 |
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