Python-Snippets
Helpful snippets to work with Python
Motivation
These are snippets of code I frequently use in my day-to-day work and figured might be helpful to others.
What are these snippets?
These snippets are helpful tools that I've developed to aid my own workflow. I'll try to include some use cases wherever needed/possible.
Snippets
Clipboard2Dict.py
This snippet takes your clipboard (from a tabular format (e.g., Excel)) and turns it into a dictionary. The resulting dictionary is returned to your clipboard.
For example, this table:
| col1 | col2 |
|---|---|
| a | 1 |
| b | 2 |
Then running clipboard2dict() would add the following dictionary: {'a':1, 'b':2} to your clipboard.
Dummy_Data.py
This snippet relies on the product method from itertools, which generates a dot product of all possible combinations of multiple lists. The product is then applied to a dataframe.
For example:
countries = ['Germany', 'Canada', 'USA']
years = [2018, 2019, 2020]
print(dummy_dataframe(['Country', 'Year', 'Type'], countries, years))
| Country | Year | |
|---|---|---|
| 0 | Germany | 2018 |
| 1 | Germany | 2019 |
| 2 | Germany | 2020 |
| 3 | Canada | 2018 |
| 4 | Canada | 2019 |
| 5 | Canada | 2020 |
| 6 | USA | 2018 |
| 7 | USA | 2019 |
| 8 | USA | 2020 |
FindEncoding.py
This snippet is useful to determine the type of encoding used in a file when bringing it into Pandas. It requires the encodings library, which the script imports.
Assign the script to a variable a list of encodings is returned.
For example:
encodings = find_encoding(file_path)
print(encodings)
Will return a list of encodings. Alternatively, you could write print(find_encoding(file_path)).