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Top Questions People Ask About Pandas, NumPy, Matplotlib & Scikit-learn — Answered!

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 Whether you're a beginner or brushing up on your skills, these are the real-world questions Python learners ask most about key libraries in data science. Let’s dive in! 🐍 🐼 Pandas: Data Manipulation Made Easy 1. How do I handle missing data in a DataFrame? df.fillna( 0 ) # Replace NaNs with 0 df.dropna() # Remove rows with NaNs df.isna(). sum () # Count missing values per column 2. How can I merge or join two DataFrames? pd.merge(df1, df2, on= 'id' , how= 'inner' ) # inner, left, right, outer 3. What is the difference between loc[] and iloc[] ? loc[] uses labels (e.g., column names) iloc[] uses integer positions df.loc[ 0 , 'name' ] # label-based df.iloc[ 0 , 1 ] # index-based 4. How do I group data and perform aggregation? df.groupby( 'category' )[ 'sales' ]. sum () 5. How can I convert a column to datetime format? df[ 'date' ] = pd.to_datetime(df[ 'date' ]) ...
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Python: Store Multiple Values in a Variable

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In Python, you can assign values to the variables. This post tells you how to assign values to multiple variables. It is common assigning values in any programming language. But Python simplifies your job by introducing this technic. Here is Python For Loop Tricky Example.

Python Assigning the Values At once.

a = 1
b = 1
c = 1
d = 1
or, you can assign simultaneously as;
a=b=c=d=1


Python Assigning Multiple Values at Once

Python Assigning Multiple Values at Once


The other way you can assign as;

a, b, c, d = 10, 1, 3.5, 'Srini'

From the above, you can understand as below:

The '10' assigns to a.
The '1' assigns to b.
The '3.5' assigns to c.
Then 'Srini' to d.

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