6. Pandas

• 6.1. Series: Introduction
  • 6.1.1. Introduction
  • 6.1.2. 6.1.1.0 Installing and Importing Pandas
  • 6.1.3. 6.1.1.1 Creating and Copying Series
  • 6.1.4. 6.1.1.2 Examining Series
  • 6.1.5. 6.1.1.3 Selecting Data Using the Index
  • 6.1.6. 6.1.1.4 Updating Values and Labels
  • 6.1.7. 6.1.1.5 Basic Operations with Series
  • 6.1.8. 6.1.1.6 Sorting Series by Index and Value
  • 6.1.9. 6.1.1.7 Some Examples of Working with Series
• 6.2. Series: String Methods
  • 6.2.1. Introduction
  • 6.2.2. 06.1.2.0 The .str accessor
  • 6.2.3. 06.1.2.1 Commonly Used String Methods
  • 6.2.4. 06.1.2.2 Other Handy Methods
  • 6.2.5. 06.1.2.3 Some Demonstrations
• 6.3. Series: Grouping Methods, .groupby()
  • 6.3.1. 06.1.3.0 Introduction
  • 6.3.2. 06.1.3.1 Using .groupby()
  • 6.3.3. 06.1.3.2 Getting Groups within a Groupby Object
  • 6.3.4. 06.1.3.3 .groupby() Examples
• 6.4. Dataframes: Introduction
  • 6.4.1. Introduction
  • 6.4.2. 6.2.1.1 Creating and Copying Dataframes
  • 6.4.3. 6.2.1.2 Examining the Dataframe
  • 6.4.4. 6.2.1.3 Working with the Index and Columns
  • 6.4.5. 6.2.1.9 An Example
• 6.5. Dataframes: Working with Data in a Dataframe
  • 6.5.1. Introduction
  • 6.5.2. 6.2.2.1 Selecting Data Using the Index and Columns
  • 6.5.3. 6.2.2.2 Modifying Rows and Columns
  • 6.5.4. 6.2.2.3 Basic Operations with Dataframes
  • 6.5.5. 6.2.2.9 Some Examples
• 6.6. # More Boolean Methods with Dataframes
• 6.7. Author: Brad Sheese
• 6.8. 06.2.3.1 Combining Booleans
  • 6.8.1. Combining booleans with &
  • 6.8.2. Combining Boolean with |
  • 6.8.3. Simple Examples of & and |
• 6.9. 06.2.3.2 Negating Booleans with ~
• 6.10. 06.2.3.9 Some Examples of Combination and Negations
  • 6.10.1. The Sad Story of the Palssons
• 6.11. Dataframes: Grouping Methods
  • 6.11.1. 06.2.4.0 Introduction
  • 6.11.2. 06.2.4.1 Using .groupby() with a Dataframe
  • 6.11.3. 06.2.4.2 Using pd.cut() to Create Groups from Continuous Data
  • 6.11.4. 06.2.4.3 Making Cross Tabs with pd.crosstab()
• 6.12. Data Cleaning Tools
  • 6.12.1. 06.3.0 Introduction
  • 6.12.2. 06.3.1 Examining the dataframe for errors
  • 6.12.3. 06.3.2 Missing or Null Values
  • 6.12.4. 06.3.3 Duplicate Entries
  • 6.12.5. 06.3.4 Converting Columns to Numeric
  • 6.12.6. 06.3.5 Dealing with Whitespace in Strings
  • 6.12.7. 06.3.6 Data Cleaning Example with ‘hangout’