Showing posts with the label error logic

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How to Check Column Nulls and Replace: Pandas

Here is a post that shows how to count Nulls and replace them with the value you want in the Pandas Dataframe. We have explained the process in two steps - Counting and Replacing the Null values. Count null values (column-wise) in Pandas ## count null values column-wise null_counts = df.isnull(). sum() print(null_counts) ``` Output: ``` Column1    1 Column2    1 Column3    5 dtype: int64 ``` In the above code, we first create a sample Pandas DataFrame `df` with some null values. Then, we use the `isnull()` function to create a DataFrame of the same shape as `df`, where each element is a boolean value indicating whether that element is null or not. Finally, we use the `sum()` function to count the number of null values in each column of the resulting DataFrame. The output shows the count of null values column-wise. to count null values column-wise: ``` df.isnull().sum() ``` ##Code snippet to count null values row-wise: ``` df.isnull().sum(axis=1) ``` In the above code, `df` is the Panda

Python Function: How to Write Error Logic

Here's an example python user-defined function. Here, you'll know how to write error conditions. The best examples is if and else. I have shared the logic here for your reference. Python is one of the top programming languages. Python does support Functions . While writing functions you also need to consider some errors. Those are called exceptions. I am explaining how to give error logic in a function of Python. Exception-handling means to have logic for error scenarios. Writing exception I will show in a simple Function. In this post I will give you syntax for writing function and exception.  Here is my simple Function that multiplies two numbers. Logic to write Function in Python to Multiply Two Numbers  def product (num1,num2): prod=num1*num2 print( ' The product of the numbers is \t: '+str(prod) Parameters used the Python Function The 'def' means you are defining function with a name of 'product'. In the parameters of 'product', you can s