Posts

Showing posts with the label Array Types

Featured Post

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

Image
 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' ]) ...

How to Create an Array and Its Types in Python

Image
Python supports various array types. Here is a list of arrays and how to create examples for your reference.  What is an array? A  Python array  is a class that mimics the array type of other languages and offers efficiency in storage, exchanging that for flexibility. How to create an array Here is the syntax to create an array: data = array('f', [12.8, 5.4, 8.0, 8.0, 9.21, 3.14]) It creates an array of 6 floating point numbers; the type is indicated by the 'f' as the first parameter to the constructor. This concept is unlike the Python norm of types being dynamic and malleable. An array is an array of one kind of thing, and an array can only hold a restricted set of types. Types of arrays Here is a list of arrays: 'b' A C++ char type 'B' A C++ unsigned char type 'i': A C++ int type 'l': A C++ long type 'f': A C++ float type 'd': A C++ double type What is an array type? Arrays are class objects and are provided in the buil...