update the docstring

Author: hvdthong

data/raw/f_2505_junda_james.py

@@ -55,18 +55,16 @@ def f_2505(image_path, kernel_size):
 import numpy as np
 
 class TestCases(unittest.TestCase):
-    @classmethod
-    def setUpClass(cls):
+    def setUp(self):
         # Create a dummy image for testing
-        cls.dummy_img_path = "test_image.jpg"
+        self.dummy_img_path = "test_image.jpg"
         np.random.seed(42)
         dummy_img = np.random.randint(0, 255, (20, 20, 3), dtype=np.uint8)
-        cv2.imwrite(cls.dummy_img_path, dummy_img)
+        cv2.imwrite(self.dummy_img_path, dummy_img)
 
-    @classmethod
-    def tearDownClass(cls):
+    def tearDown(self):
         # Cleanup the dummy image
-        os.remove(cls.dummy_img_path)
+        os.remove(self.dummy_img_path)
 
     def test_valid_input(self):
         blurred_image, ax_original, ax_blurred = f_2505(self.dummy_img_path, 3)

data/raw/f_3043_junda_james.py

@@ -14,7 +14,7 @@ def f_3043(file_location, sheet_name):
 
     Returns:
     - dict: A dictionary with mean and standard deviation of each column.
-    - matplotlib.figure.Figure: The figure object containing the bar chart.
+    - matplotlib.figure.Figure: The figure object containing the bar chart. The figure is titled 'Mean and Standard Deviation', the X-axis is labeled 'Columns', and the Y-axis is labeled 'Values'.
 
     Raises:
     - FileNotFoundError: If the Excel file does not exist at the specified path.

data/raw/f_3345_junda_james.py

@@ -6,6 +6,8 @@ def f_3345(image_path='image.jpg', histogram_path='histogram.png'):
     """
     Read an image, create a histogram of the image pixel intensities, save the histogram as a PNG file, 
     and return the histogram plot object. The function also displays the original image and its histogram.
+    The limit to the size of the image depends on the hardware capabilities of the system you are working on. 
+    A possible size of an image is 20x20. 
 
     Parameters:
     - image_path (str): Path to the image file. Defaults to 'image.jpg'.

data/raw/f_3747_junda_james.py

@@ -3,11 +3,11 @@
 
 def f_3747(data, date_format, country, country_codes=None):
     """ 
-    Draw a histogram of the data from a DataFrame column of the pandas after converting the data into a specific format and locale,
+    Draw a histogram of the data from a DataFrame column of the pandas after converting the data into a specific format,
     and return the matplotlib Axes object.
 
     Parameters:
-    data (DataFrame): The pandas DataFrame containing date strings.
+    data (DataFrame): The pandas DataFrame containing date strings. The DataFrame has a column named 'dates' with the format '%d/%m/%Y'
     date_format (str): The date format string.
     country (str): The country name.
     country_codes (dict, optional): A dictionary mapping country names. Defaults to a predefined dictionary, where default is: