If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. - Source: Reddit / 5 days ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... - Source: Reddit / 20 days ago
I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. - Source: Reddit / 2 months ago
Data helps organizations make better decisions. With a programming language like Python to analyze your data and transform data into visual representations, you can effortlessly tell the story of your business. One way to create customized visuals from your data would be to use data visualization libraries in Python like Matplotlib, Seaborn, Ggplot2, Plotly, or Pandas. When you want to accomplish this task with... - Source: dev.to / 11 months ago
If you are using template engine, you can use Plotly on the backend to generate a chart, convert it to an HTML div to plugged into the rendered template. Then introduce plotly.js to allow the browser to render the generated chart on the frontend. See an example. - Source: Reddit / about 1 year ago
To plot some sensor data I use Plotly or Matplotlib. - Source: Reddit / about 1 year ago
Wouldn't plotly and nbviewer work for your use case? - Source: Reddit / about 1 year ago
Python package manager (pip) consists of over 300,000 packages. You can use libraries like SciPy, which contains various modules for optimization, linear algebra, integration, and statistics, or Plotly, which you can use for scientific-quality graphing. The scope of problems that Python libraries address is vast. Rarely will you struggle to find the right library that will help you solve the problem. - Source: dev.to / about 1 year ago
Check out Plotly. It's very easy to make interactive plots. - Source: Reddit / over 1 year ago
Now, it's time to populate these plots with data. Luckily, these plots are not specific to Anvil, but are good old Plotly graphs. So, we can simply use the go functions from the plotly.graph_objects module. - Source: dev.to / over 1 year ago
A while ago, I built a data-intensive application that collects, analyzes, and visualizes data using Django, Plotly, and Django templating language. However, an upgrade was recently requested which made me tend to re-develop the application from the ground up. A pivotal aspect of the app is Authentication and Authorization system since the data are confidential and only authorized personnel should be allowed... - Source: dev.to / over 1 year ago
Plotly The Plotly library is an online platform for data visualization and it can be used in making interactive plots that are not possible using other Python libraries. Few such plots include dendrograms, contour plots, and 3D charts. Other than these graphics, some basic visualization graphs such as area charts, bar charts, box plots, histograms, polar charts, and bubble charts can also be created using the... - Source: dev.to / over 1 year ago
Plotly | Full-time | REMOTE, (CA or US) | https://plotly.com/ Looking for a senior backend engineer. We're building Dash Enterprise, a web app that lets data scientists quickly and easily spin up and scale data science and ML apps. We do this using Kubernetes. Cool, right? * You won't work overtime. - Source: Hacker News / over 1 year ago
Curran Kelleher's Data Visualization With React and D3 is probably the most comprehensive course on D3 on the Internet. For some time I have been curious about D3 and data visualization in general. While I have worked with Python libraries like Matplotlib , Seaborn and Plotly and they are fantastic for most kinds of exploratory and scientifc plots they have limitations on the web particularly in terms of... - Source: dev.to / over 1 year ago
Then came seaborn and plotly, which can make stunning visualizations in Python with just a few commands… a giant leap again. - Source: Reddit / over 1 year ago
Plotly? I don't think neither Django nor Flask are akin to Shiny. Not saying it's not possible, just that imo it's not really a direct comparison. - Source: Reddit / over 1 year ago
Use plotly. Its a commonly used library for producing interactive plots. - Source: Reddit / almost 2 years ago
Plotly -- Plotly is Python package for visualizations -- it provides dynamic charts that you can get used to in spreadsheets -- it builds upon some of the basic features of plotting packages like Matplotlib. - Source: Reddit / almost 2 years ago
There are lots of other visualization packages in python if your issue is with matplotlib. There’s ggplot, bokeh, plotly, holoviews, Altair (based on Vega / Vega-lite), and others! - Source: Reddit / almost 2 years ago
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