Describe the bug
Docker run failed due to file does not exist

To Reproduce
Steps to reproduce the behavior:

1. Set up the Docker inside Dockerfile and docker-compose.yml
2. Go to the project directory > open the terminal
3. To build the docker image > Run docker build -t streamlitapp:latest . > Successful
   
4. To run the docker image > Run docker run -p 8501:8501 streamlitapp:latest
5. See error

Usage: streamlit run [OPTIONS] TARGET [ARGS]...

Error: Invalid value: File does not exist: main_leah.py

Screenshots

Desktop (please complete the following information):

• Windows 11

Describe the bug
A clear and concise description of what the bug is.

To Reproduce
Steps to reproduce the behavior:

1. Go to '...'
2. Click on '....'
3. Scroll down to '....'
4. See error

Expected behavior
A clear and concise description of what you expected to happen.

Screenshots
If applicable, add screenshots to help explain your problem.

Desktop (please complete the following information):

• OS: [e.g. iOS]
• Browser [e.g. chrome, safari]
• Version [e.g. 22]

Smartphone (please complete the following information):

• Device: [e.g. iPhone6]
• OS: [e.g. iOS8.1]
• Browser [e.g. stock browser, safari]
• Version [e.g. 22]

Additional context
Add any other context about the problem here.

Describe the bug
I'm working on the unit test file for data.py with test_data.py with the purpose of testing my Dataset class methods. There are total 13 tests in my unit test file representing 13 methods in my Dataset class. When I ran the test, the result returned 2 errors related to the get_head() and get_tail() methods.

My defined method in data.py looks like this:

  def get_head(self, n=5):
    """
      Return Pandas Dataframe with top rows of loaded dataset
    """
    return self.df.iloc[:n]

Here is the example of how I run the get_head() test in the test_data.py, the command is exactly the same logic with the get_tail():

class GetHead(unittest.TestCase):
    def test_get_head(self):
        # create sample dataframe
        data = [['tom', 10], ['nick', 15], ['juli', 14], ['annie', 24], ['julie', 20], ['leah', 18],['patrick', 27]]
        test_df = pd.DataFrame(data, columns = ['Name', 'Age'])
        test_file_name = "car_accident.csv"
        test_dataset = Dataset(test_df, test_file_name)
        self.assertEqual(test_dataset.get_head(), test_df.head())

However, the test result return this error:

Traceback (most recent call last):
  File "test_data.py", line 234, in test_get_head
    self.assertEqual(test_dataset.get_head(2), test_df.head(2).any())
  File "C:\Users\LEAH NGUYEN\AppData\Local\Programs\Python\Python38\lib\unittest\case.py", line 912, in assertEqual
    assertion_func(first, second, msg=msg)
  File "C:\Users\LEAH NGUYEN\AppData\Local\Programs\Python\Python38\lib\unittest\case.py", line 902, in _baseAssertEqual
    if not first == second:
  File "C:\Users\LEAH NGUYEN\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\generic.py", line 1537, in __nonzero__
    raise ValueError(
ValueError: The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

I try to look up this issue online but couldn't find a good explaination prior to my test. Any ideas of what is this error and how can I improve it @caijiaping @Laurabayonaf @cartierz ?

To Reproduce
Steps to reproduce the behavior:

1. Go to \src\test
2. Open the terminal > Run python test_data.py
3. See error

Describe the bug
Max rows error if the dataset with more than 5000 rows

Hi @caijiaping ,

I just checked your unit test file and have a question. I saw you only defined 1 class and have several functions inside to run the unit test for the class methods like this

So when you execute the unit test script inside the terminal, how many tests did the result return? For example, {1 test run successfully}, {3 test run successfully, 2 test run failed}

Describe the bug
Streamlit can't display the dataframe including different data type eg: a few numeric columns and string columns in same database

I am having issues running docker under Windows 10; Docker Engine failed to start...

I just open the app and the error is coming up.

• OS: 19042.1288
• Edition: Windows 10 Pro
• Version 20H2
  

Does anyone have suggestions on how to go next?

Describe the bug
Not count of the missing date in Datetime script

To Reproduce
Steps to reproduce the behavior:

1. Go to: Powershell and rund steamlit run main_lean.py
2. Select: the Datetime column name
3. See error

Expected behaviour
Since the test data includes 1 missing data cell, the missing date function should count 1

Screenshots

Desktop (please complete the following information):

• OS: Window 10
• Browser Chrome
• Version: 95.0

Describe the bug
There is an error message before the user selects date column (in overall information section).

To Reproduce
Steps to reproduce the behavior:
1.Go to project directory terminal > run streamlit run main_leah.py
2. See error in below screenshot

Expected behavior
It should show a message to inform the user in "4. Information on datetime columns"

Screenshots

Desktop (please complete the following information):

• OS: Windows 10
• Browser: Chrome

Describe the bug
In Overall information section, there is a part where we can convert those columns with DateTime data but under string or object64 format to be converted to `DateTime format like this:

Before converting string columns to datetime format, however, if we scroll down to Datetime Information section, an error will be displayed as follows:

This error will be disappeared once we converted the column to the DateTime format above but this still creates a bad practice for the program UI

To Reproduce
Steps to reproduce the behavior:

1. run the program
2. Scroll down to the Datetime section
3. See errors

Hi team,

As I did some researches related to other public projects and also take references to our Python individual assignment, I notice that in other project's main script, the practitioners always construct their code logic by creating several functions representing each section they want to specify (which in our assignment are 4 sections including 1. Overall Info; 2. Numeric; 3. Text; 4.DateTime) and the main function called def main(): to consolidate all the contents within just a few lines. This can be illustrated as follows:

Thus, I think we can improve our code readability by constructing the code following this method. This is also beneficial for us while creating the flowchart as we have grouped each section as a function.

Let me know what you guys think?

Describe the bug
import errors caused by use of hyphens in file directory folders and test csv file

Describe the bug
I have a problem when importing the modules from src folder to the streamlit_app.py (where we connect all the modules together and run our program).

My first assumption is that the streamlit_app.py file is not in the same folder with my module script (data.py), not to do with the parent folder

To Reproduce
Steps to reproduce the behavior:

1. Go to project directory terminal > run streamlit run main_leah.py
2. See error

Expected behavior
The successful should return the app interface as stated in the assessment brief

Screenshots

Desktop (please complete the following information):

• Windows 11
• Browser Chrome

Additional context
N/A

Describe the bug
import error due to the same naming of datetime.py and datetime package

To Reproduce
run test_datetime.py with datetime.py (import date_time from DateColumn)

Expected behavior

Traceback (most recent call last):
File "src/test/test_datetime.py", line 9, in
from datetime import DateColumn
ImportError: cannot import name 'DateColumn' from 'datetime' (/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.8/lib/python3.8/datetime.py)

Describe the bug
When I run the test inside the terminal with the command streamlit run main_leah.py, the program worker fine. However, when I run the program with Docker container and accessing it with the address http://localhost:8501/, it gave an error while loading the csv file as Error: Request failed with status code 400

To Reproduce
Steps to reproduce the behavior:

1. run docker-compose up inside the project terminal
2. Go to 'http://localhost:8501/'
3. Click on 'Upload csv file button' > choose csv file
4. See error

Screenshots

Describe the bug
Error when I select the number of row more than total DF rows

To Reproduce
Steps to reproduce the behavior:

1. Go to: Powershell and run the commend: streamlit run main_leah.py
2. Used the slider to select rows
3. See error

Expected behavior
The max side of slider bar shows the max of total row number.
Prevent the user to select the number over total DF rows

Screenshots

Desktop (please complete the following information):

• OS: Window 10
• Browser chrome