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How to Check Column Nulls and Replace: Pandas

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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

How to Initialize Class Variables? The Purpose of Init Method in Python

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The init method is like a constructor in Java. But the usage is different in Python.  Here's the best example to write Class in Python using init method.  The init executes by default and it will initialize all the variable. The dog_1 is an instantiation of dog class. When you print the dog_1, it prints as "I am in the init method", which is from the "init" method. The self means this class. It is mandatory. Not only self, but you can also give any name in that place. Instead of "self" you can give as "This_is_Python_Self". It also will work. How to use init method class dog:    def __init__(self):          print("I am in init method") Now, instantiating the class dog_1=dog() print(dog_1) The output from the above display is as below: I am in init method <__main__.dog object at 0x7fe7b5875be0> Related posts The best Python Interview Questions