Tag: Python
-
Python float to percentage: Format with % in an f-string
Have a Python float, and want to show it as a percentage? Use % in an f-string
-
Formatting floats in Python f-strings: The .nf specifier
Want to display a Python float with a limited number of decimals? Use .nf as an f-string’s format specifier. n is the number of digits to show after the decimal: Note: It rounds the final digit!
-
Python f-string format specifiers: Padding and aligning columns
Use Python f-strings and format specifiers to make quick-and-dirty tables: Output: a…….10bcd……2e…..3456
-
Python f-string format specifiers: Aligning and padding text
A Python f-string can have a “format specifier,” one or more characters after : that dictate the format. For example, you can use < ^ and > with an integer to justify the text:
-
Python f-string debugging: Printing expressions with =
Want to print a Python expression and its value? The modern way: All expressions work:
-
Python f-strings are just strings: Use them anywhere
Remember, Python f-strings are strings: 1. Use f-strings anywhere you’d use strings, e.g., filenames and URLs2. You don’t have to print an f-string; you can store it.3. Don’t overuse them! I see people writing when they can say
-
Python f-strings: Embedding expressions inside strings
Python f-strings are the best: – Put an f before the opening ‘ or “– Creates a regular string– Expressions in {} are evaluated/interpolated
-
Pandas datetime rounding: dt.floor, dt.ceil, and dt.round
Want to round Python Pandas datetimes? You have 3 options: – dt.floor — earlier– dt.ceil – later– dt.round — nearest For example:
-
Pandas dt.normalize: Setting datetime times to midnight
Want to set the time on a Python Pandas series of datetimes to midnight? Use dt.normalize: You get back series of datetime values, but all times are 00:00:00.
-
Pandas datetime to Unix time with astype(‘int64’)
Want to convert a Python Pandas datetime column to Unix time (seconds since 1970)? That’s it! No division needed.