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3 | Pandas Numpy Matplotlib

Python supports n-dimensional arrays with Numpy. For data in 2-dimensions, Pandas is the best library for analysis. You can use other tools but tools have drag-and-drop features and have limitations. Pandas can be customized as per the need as we can code depending upon the real-life problem.

Numpy

  • Vectors, Matrix
  • Operations on Matrix
  • Mean, Variance, and Standard Deviation
  • Reshaping Arrays
  • Transpose and Determinant of Matrix
  • Diagonal Operations, Trace
  • Add, Subtract, Multiply, Dot, and Cross Product.

Pandas

  • Series and DataFrames
  • Slicing, Rows, and Columns
  • Operations on DataFrame
  • Different ways to create DataFrame
  • Read, Write Operations with CSV files
  • Handling Missing values, replace values, and Regular Expression
  • GroupBy and Concatenation

Matplotlib

  • Graph Basics
  • Format Strings in Plots
  • Label Parameters, Legend
  • Bar Chart, Pie Chart, Histogram, Scatter Plot

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