Seaborn is Python’s premier statistical visualization library, built on matplotlib with a high-level, dataset-oriented API that makes complex statistical plots accessible in just a few lines of code; install with pip install seaborn, load data into pandas DataFrame, use functions like sns.heatmap(), sns.pairplot(), and sns.boxplot() with built-in themes and color palettes for publication-ready graphics that Continue reading
How to Use Seaborn in Python: A Fast, Practical Guide
Seaborn is a high‑level statistical visualization library built on matplotlib, designed to turn tidy data into clear, publication‑quality charts with minimal code; install Seaborn, pick a plot function like scatterplot/histplot/catplot, pass a pandas DataFrame and column names, then theme with set_theme() and color palettes for consistent, attractive output.
How to change plotly figure size
Plotly allows you to create interactive, publication-quality figures in Python. You can customize the width and height of your figures through multiple approaches: using update_layout, Plotly Express parameters, default templates, or configuration options when exporting. This guide covers each method with code examples.
Understanding Plotly Traces in Python
In Plotly, a trace represents a single dataset or graphical element within a chart. Each trace is an object that defines how data is displayed—such as lines, bars, markers, or other shapes. You can use multiple traces to layer and customize complex plots.
Understanding fill in Tkinter
In Tkinter, the fill option is commonly used with the pack() geometry manager. It controls how a widget expands to fill the space allocated to it. This helps you build responsive and adaptive layouts by controlling expansion in horizontal, vertical, or both directions.
Creating Round Buttons in Tkinter
Tkinter doesn’t natively support round buttons, but with a few creative techniques you can still design buttons with a circular shape. This is useful when building more modern or custom-styled interfaces.
Resolving TypeError: ufunc isnan not supported for the input types
When working with Seaborn heatmaps, encountering the error “TypeError: ufunc ‘isnan’ not supported for the input types” is frustrating but easily resolved. This error occurs when your DataFrame contains non-numeric data that Seaborn attempts to process as numbers. The solution requires identifying the problematic columns and converting them to appropriate numeric types.
Profiling Python Code for Performance Optimization
Performance profiling is essential for optimizing Python applications. It helps identify bottlenecks and areas that consume the most resources. I will show you several tools and techniques for profiling Python code to enhance its performance.
Saving Plotly Plots to Local Files
Plotly is renowned for its interactive web-based plots, but you often need to save these plots as static image files (PNG, JPEG, SVG) or as interactive HTML files for sharing or embedding. See how to save your Plotly figures to local files.
How to Set Same Scale for X and Y Axis in Plotly
When creating plots, especially scatter plots or scientific visualizations, it’s often crucial to ensure that the x and y axes have the same scale. This means that a unit of distance on the x-axis represents the same magnitude as a unit of distance on the y-axis. In Plotly, this is achieved by setting the aspect Continue reading
Setting Background Color to Transparent in Plotly Plots
Plotly is a versatile charting library that allows for extensive customization. One common requirement is to make the background of a plot transparent, which is particularly useful when embedding plots on websites with custom backgrounds or when layering plots. See how to set both the plot area and the overall figure background to transparent in Continue reading
How to remove space between subplots in Plotly
Plotly’s subplot functionality is incredibly useful for displaying multiple related plots in a single figure. By default, make_subplots adds a certain amount of spacing between these plots for readability. However, there are many cases where you might want to reduce or completely remove this space to create a more compact or visually continuous layout. See Continue reading
Tkinter Grid Layout: Understanding Sticky
The Tkinter grid layout manager is a powerful tool for arranging widgets in a table-like structure of rows and columns. One of its most important options is sticky, which controls how a widget is aligned and stretched within its grid cell. Understanding sticky is crucial for creating responsive and well-aligned Tkinter GUIs.
Adding Vertical Lines in Plotly
Vertical lines (vlines) are a great way to highlight specific x-values on a Plotly chart—whether it’s a threshold, a special event, or a point of interest. Learn how to use Plotly to create vertical lines in both Plotly Express and Graph Objects.
Tkinter OptionMenu Widget
The Tkinter OptionMenu widget provides a dropdown list from which the user can select a single item. It’s a convenient way to offer a predefined set of choices without taking up too much space in your graphical user interface (GUI). See how to create and use the OptionMenu widget.