Showing posts with the label self object

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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 Default Argument is Self Why do We Need it

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): 'Enter name\t:')           self.age=input('Enter age\t:')     def putdata(self):           print('Name\t:',          print('Age\t:',self.age)  e1=employee()  e1.getdata()  e1.putdata() Output from python class Here,  I have I