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pandas Series: Values with Labels

Lesson 9 of 20 Lab 🔒 Locked

Lessons in this course

  1. Lists vs NumPy Arrays: Element-wise MathsLabFree
  2. Creating Arrays: arange, linspace, zeros and shapeLab Locked
  3. Indexing and Slicing 1-D ArraysLab Locked
  4. 2-D Arrays: Rows, Columns and the axis ArgumentLab Locked
  5. Vectorised Maths and BroadcastingLab Locked
  6. Boolean Masks and np.whereLab Locked
  7. Aggregations: median, std, argmax and cumsumLab Locked
  8. dtypes, Floor Division and ModuloLab Locked
  9. pandas Series: Values with LabelsLab Locked
  10. DataFrame Anatomy: shape, head, tail and NaNLab Locked
  11. Selecting Data with loc and ilocLab Locked
  12. Filtering Rows with ConditionsLab Locked
  13. Sorting, Top N and rank()Lab Locked
  14. New Columns with Vectorised ArithmeticLab Locked
  15. describe(): std, Quartiles and the IQRLab Locked
  16. value_counts, unique and nuniqueLab Locked
  17. groupby: Split, Apply, CombineLab Locked
  18. Missing Data: isna, dropna and fillnaLab Locked
  19. Reading and Writing CSV FilesLab Locked
  20. Final Project: The Weekly Store ReportLab Locked