pandas练习手册_20201119
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2021-01-29 09:53:33
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Essential Pandas for Machine Learning
Agenda
- Introduction to Pandas
- Understanding Series & DataFrames
- Loading CSV,JSON
- Connecting databases
- Descriptive Statistics
- Accessing subsets of data - Rows, Columns, Filters
- Handling Missing Data
- Dropping rows & columns
- Handling Duplicates
- Function Application - map, apply, groupby, rolling, str
- Merge, Join & Concatenate
- Pivot-tables
- Normalizing JSON
1. Introduction to Pandas
- High Performance, Easy-to-use open source library for Data Analysis
- Creates tabular format of data from different sources like csv, json, database.
- Have utilities for descriptive statistics, aggregation, handling missing data
- Database utilities like merge, join a
转载自blog.csdn.net/a18829292719/article/details/109813627