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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
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Python Default Argument is Self Why do We Need it

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Python self as default argument, here is the reason. Below, you will find an example and the importance of self-argument. Structure of a class The default argument is self. The self-argument states the function belongs to the class that we refer to here. Access to class members' details of one member to another is possible through self-argument. So self-argument is mandatory. class <name of the class>: def <function name>(<arguments>): ... <members> Self Argument A python class consists of methods these also called functions. The default self-argument you need to supply in all the class methods . Python class with self argument class employee:      def getdata(self):           self.name=input('Enter name\t:')           self.age=input('Enter age\t:')     def putdata(self):           print('Name\t:',self.name)          print('Age\t:',self.age)  e1=employee()  e1.getdata()  e1.putdata() Output from python class Here,  I have I
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