How to Set the Axis Range in Matplotlib (ylim, xlim, set_ylim)

How to set the axis range in Matplotlib with ylim, xlim and set_ylim: automatic range compared with a fixed 0 to 100 range

To set the axis range in Matplotlib, use plt.ylim(bottom, top) and plt.xlim(left, right), or ax.set_ylim() and ax.set_xlim() when you work with an Axes object. ax.axis([xmin, xmax, ymin, ymax]) sets both at once. This guide shows each method with its output, plus how to set only one limit, keep subplots on the same range, and set … Read more >>

How to Invert the Y-Axis in Matplotlib (invert_yaxis, ylim, imshow, twinx)

How to invert the y-axis in Matplotlib: normal and inverted y-axis compared, with invert_yaxis, ylim, imshow, twinx and barh

To invert the y-axis in Matplotlib, call ax.invert_yaxis() on your axes, or plt.gca().invert_yaxis() if you use the pyplot interface. On an inverted y-axis the values grow downward instead of upward, so the smallest value is at the top. That’s what you want for rankings (1 at the top), depth, screen/pixel coordinates and horizontal bar charts … Read more >>

How to Format Decimal Places in Python Using f-Strings?

Format Decimal Places in Python Using f-Strings

As a developer working on numerous projects across the USA, I recently faced an issue where I needed to format currency values with a specific number of decimal places for our financial reports. After researching various string formatting techniques, I found that using f-strings is an efficient and readable way to format decimal places. I … Read more >>

How to Validate User Input in Python Tkinter?

Validate User Input in Python Tkinter

Recently in a webinar, someone asked me how to validate user input in Python Tkinter applications. Input validation is important to ensure that users enter the correct data format and prevent errors in the application. Tkinter provides several ways to validate user input Let us learn some important methods with suitable examples. Python Tkinter Validation … Read more >>