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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 String Comparison Top Ideas

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Python String Comparison Top Ideas

In Python, you can compare two strings how you would do on numbers. Python is stricter on string comparison. It identifies any small differences in strings. So Python is case sensitive while comparing it checks for identical ones.

  
Python follow-suite other languages. It compares strings for exact equals. Else, treat them as different strings.

Python String Comparison 

  • Extra spaces
  • Uppercase or Lowercase

#1 Example

>>> a = "Virginia"
>>> b = "virginia"
>>> a == b False 

The strings a and b are looking similar. But there is case sensitive difference. Python checks for extra white spaces as well as Upper or Lowe case letters.

#2 Example

>>> greet1 = "Hello "
>>> greet2 = "Hello"
>>> greet1  == greet2 False

The greet1 has space at the end whereas greet2 does not. Python looks at whitespace when comparing strings, so the two aren’t considered equal.

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