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PYTHON CATEGORIES▼
PYTHON VIDEOS▼
- Python Part 1 - Getting started with Python
- Python Part 2 - Installing and customising Visual Studio Code
- Python Part 3 - Ranges, loops and formatting
- Python Part 4 - Virtual Environments
- Python Part 5 - Modules
- Python Part 6 - Debugging
- Python Part 7a - Sequences: iterating using for loops
- Python Part 7b - Sequences: slicing
- Python Part 7c - Sequences: other techniques
- Python Part 8 - List Comprehensions
- Python Part 9 - Files and Folders
- Python Part 10 - Sets
- Python Part 11 - Dictionaries
- Python Part 12a - Functions
- Python Part 12b - Advanced Functions
- Python Part 13 - Error-trapping
- Python Part 14a - Working with numbers
- Python Part 14b - Working with Booleans
- Python Part 14c - Working with dates/times
- Python Part 14d - Working with strings
- Python Part 15 - Scraping websites
- Python Part 16a - Linking to SQL Server
- Python Part 16b - Linking to CSV files
- Python Part 16c - Linking to JSON files
- Python Part 17a- Excel using openpyxl
- Python Part 17b - VBA using pywin32
- Python Part 18 - NumPy
- Python Part 19 - Pandas
- Python Part 20 - Working with Power BI Desktop
Python videos | Python Part 19 - Pandas
Posted by Andy Brown on 12 November 2021
This tutorial explains what pandas is and does, including creating dataframes, importing data into them from CSV files, Excel workbooks and SQL Server tables, indexing dataframes, showing statistics and much more besides!
If you're not a channel member, don't worry - the video will be released publicly after a short period of member exclusivity.
This video has the following accompanying files:
| File name | Type | Description |
|---|---|---|
| Example dataframe.png | Image | Picture of example dataframe |
| A - Getting started.py | Python code | Creating dataframes and series |
| B - Showing dataframe info.py | Python code | Showing information about dataframes |
| C - read and write CSV.py | Python code | Reading to and writing from CSV files |
| films.csv | CSV file | The CSV files created |
| D - read and write Excel.py | Python code | Reading to and writing from Excel workbooks |
| films.xlsx | Excel workbook | The Excel workbook created |
| E - read and write SQL Server.py | Python code | Reading to and writing from SQL Server tables |
| F - slicing and indexing.py | Python code | Slicing and indexing dataframes |
| G - Sort and filter.py | Python code | Sorting and filtering dataframes |
| H - statistics and grouping.py | Python code | Statistics and grouping |
| I - column operations.py | Python code | Creating new columns |
| J - other operations.py | Python code | Renaming columns |
| J - other operations (2).py | Python code | Joining or merging dataframes |
| Films and directors.xlsx | Excel workbook | Workbook containing data to join |
| J - other operations (3).py | Python code | Removing duplicate rows |
| K - matplotlib.py | Python code | Using matplotlib |
| Useful links.txt | Text file | Useful links |
Click to download a zipped copy of the above files.
After watching this video, you may like to test your understanding by doing one or more of the following exercises:
| Exercise | Level |
|---|---|
| Read an Excel workbook into a Pandas dataframe, then perform various operations | Standard |
You can also download the answers to each exercise from the links above.
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