/Df_Intro_pd

Primary LanguageJupyter Notebook

Pandas_1

In this section we learn:

  1. How to load a pandas DataFrame
  2. Saving a DataFrame to a Commma Separated File (CSV)
  3. Create or turn other data types into a DataFrame
  4. Examine DataFrame data
  5. Indexing and selecting segments/slicing of our Data Frame
  6. Slicing using iloc
  7. Numeric Operations on Series
  8. Pandas DataFrames
  9. Descriptive Stats on series
  10. Descriptive Stats on DataFrames
  11. Filtering using Boolean Operations
  12. Finding empty cells using isnull()
  13. Combining Boolean Filtering