Bijay Kumar 
Recently, while working on a data visualization project for a U.S.-based retail company, I needed to create a pie chart in Python using Matplotlib that clearly displayed sales distribution across states. The chart looked great, but the title font size was too small; it didn’t stand out in presentations or reports. I realized that many … Read more >>
Working on a data visualization project for a retail company, I had to create weekly sales charts using Python. The client wanted the charts in PNG format so they could easily include them in PowerPoint presentations and reports. If you’ve ever used Matplotlib in Python, you probably know how easy it is to display charts … Read more >>
While working on a data visualization project in Python, I needed to save only one specific chart (axis) from a Matplotlib figure as a PNG file. At first, I thought it would be simple, just use plt.savefig(), right? But I realized that saving a single axis instead of the entire figure needed a bit more … Read more >>
I was working on a Python project where I had to generate hundreds of visual charts using Matplotlib for a data dashboard. The challenge? Every saved PNG image had unwanted white borders around it. If you’ve ever tried saving a Matplotlib figure as a PNG, you might have noticed those pesky white spaces or frames … Read more >>
Recently, while working on a data visualization project, I needed to save a NumPy array as a PNG image in Python. At first, it seemed simple, but I quickly realized that there are a few details that can make or break the output quality. As someone who’s been coding in Python, I’ve often used Matplotlib … Read more >>
Getting URL parameters is a fundamental skill every web developer needs. Whether you’re building dynamic web applications or need to pass data between pages, extracting query parameters from URLs is essential. This comprehensive guide will show you multiple methods to get URL parameters using jQuery and plain JavaScript. What Are URL Parameters? URL parameters (also … Read more >>
Working on a Python data visualization project, I needed to save a Matplotlib plot with a transparent background. I was preparing a presentation for a U.S.-based client, and the slides had a dark theme. When I added my regular Matplotlib chart, it looked odd with a white background. That’s when I realized, Matplotlib actually makes … Read more >>
Recently, while working on a data visualization project for a client in New York, I needed to save several charts created using Matplotlib as high-quality PNG files. At first, I assumed it would be as simple as clicking a “Save” button. But when I looked closer, I realized that saving Matplotlib graphs as PNG images … Read more >>
When I first started working with Matplotlib in Python, I often wanted to label my plots with quick notes, maybe to show the dataset source, highlight a key metric, or display a company name in the corner. But here’s the thing, while Matplotlib gives us powerful tools for visualization, positioning text exactly where we want … Read more >>
I first started working with Matplotlib in Python, and I often created bar and scatter plots to visualize data. However, I quickly realized that adding text annotations made my charts much more meaningful. Whether you’re labeling bars with values or marking specific points in a scatter plot, text helps your audience understand your insights instantly. … Read more >>
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