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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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2 Best Ways to Concatenate Strings in Python

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Concatenation of strings in Python is possible by using the plus and join method. You can also do it in other ways. But in my point of view, these two are the best methods.


best ways concatenate string python

What are Strings?


A string represents in quotes. Let us see the data. It can have all kinds of data. A lot you can do by manipulating strings. Concatenation is one.


Example for strings 

Stringa='Uncle'
Stringb='is'
Stringc='Married'


Above example, you can see three strings. To make all these strings into a single, you need the concept of concatenation.

What is string concatenation?


String concatenation is a frequent activity in data science. Knowing this concept is helpful in your project and interviews as well.

You can do it using the two best methods. One is you can use plus operator. For the other one, you can use the join method.


#1: Using the plus operator


Stringa='Uncle'
Stringb='is'
Stringc='Married'
print(Stringa + ' ' + Stringb + ' ' + Stringc)


Result:

Uncle is Married


#2: Using the join method with separator.


Stringa='Uncle'
Stringb='is'
Stringc='Married'
a=' '.join([Stringa, Stringb, Stringc])
print(a)


Result:

Uncle is Married


Reference books


Reference links

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