Update README.md

Author: abdullahalzubaer

README.md

@@ -420,3 +420,139 @@ data = read_excel_sheets(file_path='Data_complete_Can_GPT_Replace_Human_Examiner
 data.head(6)
 
 ```
+
+
+### save dictionary as json
+```python
+def save_dict_as_json(d, filename):
+ """
+ Saves a dictionary as a JSON file, but only if the file does not already exist.
+
+ Parameters:
+ d (dict): The dictionary to save.
+ filename (str): The path and name of the file to save the dictionary to.
+
+ Raises:
+ FileExistsError: If a file with the specified name alre exists.
+ """
+
+ # Check if the file already exists
+ if os.path.exists(filename):
+ raise FileExistsError(f"File '{filename}' already exists.")
+
+ # Create the directory if it does not exist
+ os.makedirs(os.path.dirname(filename), exist_ok=True)
+
+ # Save the dictionary as a JSON file
+ with open(filename, "w") as file:
+ json.dump(d, file, indent=4)
+
+ # print_in_box(f"Result saved successfully at\n{filename}")
+```
+
+
+### Read excel sheets
+
+```python
+def read_excel_sheets(file_path, sheets=None, return_type="single"):
+ """
+ Reads specified sheets from an Excel file using pandas.
+
+ :param file_path: str, path to the Excel file.
+ :param sheets: str, int, or list, names or indices of the sheets to read.
+ :param return_type: str, 'single' to return a single DataFrame (if one sheet is specified),
+ 'dict' to return a dictionary of DataFrames (if multiple sheets are specified).
+ :return: DataFrame or dict of DataFrames depending on return_type and sheets.
+ """
+ # Read the sheets based on the provided 'sheets' argument
+ try:
+ data = pd.read_excel(file_path, sheet_name=sheets)
+ except Exception as e:
+ print(f"Failed to read the file: {e}")
+ return None
+
+ # If multiple sheets are read into a dictionary
+ if isinstance(data, dict):
+ if return_type == "single":
+ # If user wants a single DataFrame but multiple sheets were requested, raise an error
+ raise ValueError(
+ "Multiple sheets found but 'single' DataFrame requested. Specify correct 'return_type'."
+ )
+ return data
+ else:
+ if return_type == "dict":
+ # If user expects a dictionary but only one sheet was read, adjust the return structure
+ return {sheets: data}
+ return data
+```
+### drop columns from padnas
+
+```python
+def drop_columns_from(df, start_column):
+ """
+ Drop all columns from the specified start_column to the end of the DataFrame (inclusive).
+
+ Parameters:
+ df (pd.DataFrame): The DataFrame from which to drop columns.
+ start_column (str): The column name from which to start dropping.
+
+ Returns:
+ pd.DataFrame: A DataFrame with the specified columns removed.
+ """
+ # Get the index of the start column
+ start_index = df.columns.get_loc(start_column)
+
+ # Get the column names to drop from start_index to the end
+ columns_to_drop = df.columns[start_index:]
+
+ # Drop the columns
+ df = df.drop(columns=columns_to_drop)
+ 
+ return df
+```
+
+### read csv with fallback
+
+```python
+def read_csv_with_fallback(primary_file, fallback_file):
+ """
+ Reads a CSV file into a DataFrame. If the primary file does not exist, it reads the fallback file.
+
+ Parameters:
+ primary_file (str): The path to the primary CSV file.
+ fallback_file (str): The path to the fallback CSV file.
+
+ Returns:
+ pandas.DataFrame: DataFrame created from the read CSV file.
+ """
+ # Check if the primary file exists, if not, use the fallback file
+ file_to_read = primary_file if os.path.exists(primary_file) else fallback_file
+
+ # Read the CSV file
+ df = pd.read_csv(file_to_read)
+
+ return df
+```
+
+### Convert to three decimal place
+
+```python
+import ipywidgets as widgets
+from IPython.display import display
+
+def round_to_three_decimals(number):
+ rounded_number = round(number, 3)
+ return rounded_number
+
+def on_click(btn):
+ number = float(input_text.value)
+ output_label.value = f"{round_to_three_decimals(number)}"
+
+input_text = widgets.FloatText(description="Number:")
+submit_btn = widgets.Button(description="Convert")
+submit_btn.on_click(on_click)
+output_label = widgets.Label()
+
+display(input_text, submit_btn, output_label)
+****
+```