Python Pandas Tutorial 4: Reading and Writing Excel and CSV Files

This tutorial covers how to read/write excel and csv files in pandas. We will cover,
1) Different options on cleaning up messy data while reading csv/excel files
2) Use convertors to transform data read from excel file
3) Export only portion of dataframe to excel file

Topics that are covered in this Python Pandas Video:
0:00 Introduction
1:26 Read CSV file using read_csv() method
2:39 Skip rows in dataframe using "skiprows"
4:44 Import data from CSV file with "null header"
6:28 Read limited data from CSV file
7:19 Clean up messy data from file "not available" and "n.a." replace with "na_values"
9:01 Supply dictionary for replace with "na_values"
11:40 Write dataframe into "csv" file with "to_csv() method"
15:27 Read excel file using read_excel() method
18:03 Converters argument in read_excel() method
20:17 Write dataframe into "excel" file with "to_excel() method"
22:56 Use ExcelWritter() class
25:13 All properties for Read Write Excel CSV File

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Next Video:
Python Pandas Tutorial 5: Handle Missing Data: fillna, dropna, interpolate: https://www.youtube.com/watch?v=EaGbS7eWSs0&list=PLeo1K3hjS3uuASpe-1LjfG5f14Bnozjwy&index=5

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