subdirectory files

100%

subdirectory files

✓ Published0🌍 Public

Last edited Oct 28, 2023

Created on Oct 28, 2023

This example demonstrates how to recursively traverse a directory structure using Python’s `os.walk` API to collect all file paths into a set, then prints the count and the set of relative paths. The visualization shows the logical hierarchy of files and folders, with the code relying on `os.path.relpath` to generate clean, relative file locations from the root directory. The rendering approach is text-based output rather than a graphical chart, emphasizing the data collection and enumeration process. The script’s behavior is limited to listing files, with no sorting, filtering, or graphical mapping applied.

AI-generated description

Similar vizzes

Loading thumbnail…

Gist 1ba2e157aea3eefadc42

This example shows how a large synthetic file hierarchy is created on a local file system, visualized as a tree-like directory structure. The code uses Python’s `os` module to programmatically create 50 top-level directories, each containing 1,000 subdirectories, and each subdirectory containing 1,000 text files, for a total of 50 million files. The file contents are identical placeholder text, and the visualization likely represents the nested structure using a tree or treemap layout, though the code itself only generates the data, not the graphic. No external visualization libraries are used in the provided script.

JJonasHeylen

63% match

Loading thumbnail…

search and read

This example demonstrates a file-searching utility that locates every `target.txt` file within a directory tree and prints its contents to the console. The code uses the `os.walk` API to traverse directories recursively, collecting paths where the target file exists, then opens and reads each matching file with Python’s built-in `open` function. The rendering approach is purely text-based, with output delivered as sequential lines from each located file. No external visualization libraries are employed; instead, the focus is on demonstrating filesystem traversal and conditional file matching through standard library functions.

CCameron-Grams

62% match

Loading thumbnail…

Gist 133cb61af931a08bbe20

This example demonstrates recursive directory traversal as a streaming pipeline in Haskell, yielding each file path as a producer. The code uses the `Pipes` library, with `getRecursiveContents` recursively descending into subdirectories via `getDirectoryContents` and filtering out `.` and `..`. Each file path is then piped through `P.map` to prefix `"Found file "` and sent to `P.stdoutLn` for output. The main function takes a starting path from command-line arguments via `getArgs`, illustrating a functional, lazy approach to filesystem enumeration.

FFranklin Chen

54% match

Loading thumbnail…

A convenient path-lookup script for python dictionaries

This example demonstrates a Python utility for accessing and modifying nested dictionary structures using colon-delimited string paths. The script defines a test dictionary with multi-level nesting and uses the `path_get` and `path_set` functions to retrieve and assign values at specified locations. The `path_get` function splits the path string on the delimiter and applies `reduce` to traverse the nested keys, while `path_set` uses `rsplit` to separate the final key and recursively updates the target. The code validates its behavior through a `main` function with assertions, including error handling for inappropriate paths.

BBBischof

50% match

Loading thumbnail…

File Listing Script

A 3D interactive visualization displays hierarchical file system structures as a branching tree of nodes. Each node represents a file or directory, with color and size mapping to file type and relative size. The visualization uses React for the user interface and WebGL for rendering, enabling smooth animation of the expanding and collapsing tree. Data is sourced from JSON files generated by a Node.js script that recursively walks a directory, capturing each file's metadata including size, last modification date, and extension.

CCurran Kelleher

49% match

Loading thumbnail…

another iteration on the path-like dictionary access. This makes it into a class and uses getters and setters, a much more elegant solution

This example demonstrates a Python class that provides path-like access to nested dictionaries, using lists of keys as paths to retrieve or set values. It defines a `path_lookup` class with `__getitem__` and `__setitem__` methods that rely on `reduce` to traverse dictionary levels, handling both lookups and assignments, including error messages for invalid paths. The code includes a sample nested dictionary and several test paths, showing how to access values like `d[P1.split(":")]`, and it uses standard Python libraries only (`sys`, `json`).

BBBischof

49% match

Loading thumbnail…

Displaying directory sizes (e.g. .git, node_modules, etc)

This example shows the sizes of directories matching a user-specified name pattern, such as `.git` or `node_modules`, across a directory tree. It visualizes the disk usage of each matching folder, highlighting how much space different project dependencies or version-control data occupy. The implementation uses a simple shell function that combines `find` with `-prune` to locate matching directories and `du -sh` to report their human-readable sizes. The output is a plain list of sizes and paths, as seen in the included example output, and no external visualization library is required—the result is meant for terminal display or further processing.

AAnsonT

48% match

Loading thumbnail…

Working drives

This visualization maps the process of mounting and managing external drives on a Linux system, using a flowchart-style layout. It shows the sequence from identifying a drive (via `lsblk` or `sudo fdisk -l`) through creating a mount point, mounting the partition, and updating `/etc/fstab` for persistence, ending with optional symbolic links in `Documents`. The code uses D3.js (`d3.forceSimulation` or similar layout) to arrange nodes and links, with text labels for each terminal command and file path. Data comes from the author’s collected notes and cited tutorials, rendered as a directed graph where each step branches into sub-actions like `sudo chown` for permissions.

CCameron-Grams

47% match