Pandas illustrates the abstract to concrete data pattern touchable

Course Catalog:
│ ├─ Chapter 1 Pandas Profile
│ │ 1- Courses
│ │ 2- learning Pandas pre-knowledge
│ │ 3-pandas what is?
│ │ 4- Why pandas
│ │ the exercises 5-
│ │      
│ ├─ Chapter 2 environment set
│ │ 1- pandas like using install pip library
│ │ 2- mounted IPython
│ │ 3- Environment Program 2: Installation Anaconda
4- tools │ │
│ │      
│ ├─ Chapter Series data structure. 3
│ │ 1-Pandas Architectural Overview
│ │ 2- appreciated Series data structure
│ │ 3- Series create objects
│ │ 4-Series label position difference
│ │ 5- standard Series access the data through
│ │ 6- Series access data slice
│ │ 7- Boolean array data access Series
│ │ 8- Series standard data access by the fancy
│ │ 9- the exercises
│ │      
│ Chapter 4 DataFrame ├─ data structure
│ │ 1- appreciated DataFrame data structure
│ │ 2- DataFrame create objects
│ │ 3-DataFrame tag differs from the position
│ │ 4- single labels subscripting DataFrame column
│ │ plurality 5- tags subscripting DataFrame column
│ │ 6 - access DataFrame line by slicing
│ │ 7- Boolean array row access DataFrame
│ │ 8- DataFrame line access by query method
│ │ 9- accessed via head and tail DataFrame method
│ │ 10- use DataFrame accessor LOC []
│ use DataFrame │ 11- accessor iLoc []
│ │ used DataFrame accessor AT 12- [] and IAT
│ │-DataFrame line 13 is added
│ │ 14-DataFrame delete rows
│ │ added 15-DataFrame column
│ │ 16- DataFrame column deletion
│ │ 17- change the column headings
│ │ 18- the exercises
│ │      
│ ├─ Chapter 5 index
│ │ 1- one index index object
│ │ 2- index object created
│ │ 3- reindexing
│ │ 4- create multilevel index object
│ │ 5- multilevel indexing ranks converter
│ │ 6- multilevel indexing data access
│ │ 7- Exercises in
│ │      
│ ├─ data Chapter 6 read and write operations
│ │ 1- Excel file data read
│ │ 2- example: reading of the total population data from the Excel file
│ │ 3- to write data to an Excel file
│ │ 4- example: writing data to an Excel file fruit
│ │ 5- to read CSV file data
│ │ 6- example: reading of the total population of data from a CSV file
│ │ 7- to write data to a CSV file
│ │ 8- example: fruits write data to a CSV file
│ │      
│ Chapter 7 ├─ data operation
│ │ 1- arithmetic operators
│ │ 2- arithmetic operation method using
│ │ 3- descriptive statistics
│ │ 4- function application methods apply
│ │ 5- applymap function application method
│ │ 6 - function on the map method
│ │ 7- sorted by label
│ │ 8- element values are sorted by
│ │      
│ └─ Chapter 8 project combat: Sohu Securities stock data analysis
│ 1- Guizhou Maotai shares acquired historical data
│ 2- get a specific time period stock data
│ 4- to share information [date] string into a date type
│ 5 - follow [turnover] ordering
draw a line chart stock [volume] │ 6-

 

Download: Pandas illustrates the abstract to concrete data pattern touchable

Guess you like

Origin www.cnblogs.com/cycy0068/p/12052151.html