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When I first started using Matplotlib in Python, I loved how easy it was to create scatter plots. But as my data projects became more complex, I realized that plain scatter plots often failed to highlight patterns effectively. That’s when I discovered the power of colormaps and outlines in Matplotlib scatter plots. These two simple … Read more >>
Recently, while working on a data visualization project in Python, I had to highlight a specific date on a time series chart. The dataset contained daily stock prices for a U.S.-based company, and I needed to mark the date when a major event occurred, for example, a product launch or policy change. At first, I … Read more >>
I was working on a time-series visualization project in Python, where I needed to plot daily sales data for a retail store in the USA. The challenge I faced was controlling how the dates appeared on the X-axis in my Matplotlib charts. If you’ve ever plotted dates using plot_date() in Matplotlib, you might have noticed … Read more >>
Recently, I was working on a data visualization project for a US-based retail company where I had to plot sales data over time using Python. Everything looked great, except the date format on the x-axis. The default date format in Matplotlib didn’t match the standard US format (MM/DD/YYYY), and I needed to fix it. If … Read more >>
While working on a Python data visualization project, I had to customize time-series plots using Matplotlib’s plot_date() function. The default line style and color looked too generic, and I wanted a more professional, visually appealing plot that matched the client’s brand theme. If you’ve ever tried to adjust the appearance of date-based plots in Matplotlib, … Read more >>
Recently, I was working on a project where I needed to visualize sales data across different dates for multiple stores in the USA. I wanted to see how sales trends changed over time and also highlight specific points on those dates. At first, I tried using the regular plt.plot() function, but I quickly realized that … Read more >>
On a Matplotlib log scale the minor ticks between the powers of ten often vanish. The fix is a LogLocator with a subs argument: That subs list is what places a tick at 2, 3, 4 and so on inside every decade. Without it you get one tick per power of ten and nothing between. … Read more >>
In Python, for i in range(5) runs the loop body five times, with i counting 0, 1, 2, 3, 4: Two details trip people up. The number you pass is where the counting stops, and it is never itself included. And range does not give you a list, which is why printing it shows range(0, … Read more >>
I was working on a project where I needed to create several custom classes in Python. As I was building these classes, I realized how crucial the __init__ method is for proper object initialization. The __init__ method is one of Python’s special methods that plays a fundamental role in object-oriented programming. In this article, I’ll … Read more >>
While I was reviewing some code for a data analysis project when I noticed a fellow developer using the // operator in Python. While it may look like a comment syntax to beginners, it’s actually a powerful arithmetic operator called floor division. In this article, I’ll explain exactly what the // operator does in Python, … Read more >>
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