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I'm using Python to process CSV files filled with data that I want to run calculations on, and then graph. I'm looking for a library to use that I can send processed CSV information to, or a dict of some sort, and then choose different graphing styles with.
Does anyone have any recommendations?
I'm personally using matplotlib and am very happy with it.
Matplotlib and Gnuplot.py are popular choices. I've used both.
For client-side charts Open Flash Chart or Google Charts Tools.
I've been using matplotlib for about 3 years now to plot experimental data. Before I was using Excel and that was just a pain. I've been happy with matplotlib ever since. It's great and very powerful.
There is pychart or PyCha, both of which I have not used but have been considering myself.
It depends on the kind of graph you want,
most of the time, i'm using matplotlib but sometimespydot is good.
The various layout algorithms are good for me when dealing with huge graphs
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I have to make two data analysis reports using descriptive statistics, making plenty of informative plots etc.
Problem is, I'm not sure what tools should I use? I started preparing one report in Jupyter Notebook using pandas, scipy.stats and matplotlib with intention to convert it somehow to pdf later on, so I can have report without code. After hour or two I realized it might not be the best idea. I even had problem with making good description of categorical data, since pandas describe() had limited functionality on this type of data.
Could you suggest me some tools that would be best in this case? I want to prepare aesthetic, informative report. It's my first time doing data analysis including preparing report.
Your report doesn't require code, as you said. So why not just type up your report on Word and include the relevant tables and plots? You can produce plots on python using matplotlib (seaborn for aesthetic plots). And as for the statistics, you do not only have to use what pandas offers. Depending on the kind of data, for example, you can use scipy and apply those functions on columns of your dataframe to generate insights.
Also check out this data analysis and visualization software called Tableau. You can quickly create some beautiful and insightful plots using this; however, there is a learning curve.
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Using python I'm traying to monitor a small network, I did this using zabbix before and it work perfectly, zabbix is much bigger than what i want to do.
just ping every device in a text file.
I want to graphically visualize the results, opengl, matplotlib.. are very strong but are bigger than what I want to do.
Is there a python module that can do like this result:
example of graphical representation of results (map)
I just want to keep things very simple.
Try to use graph-tool if you're looking for a tool to analyze a network.
Graph-tool is an efficient Python module for manipulation and statistical analysis of graphs (a.k.a. networks). Conveniently draw your graphs, using a variety of algorithms and output formats (including to the screen).
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I've been slowly learning Python over the past couple months and I'm currently building some scripts for work that I'd like to turn into an application at some point.
What I need to do is import something that will build graphics. For example, I need to build geometric shapes, fill them with color, and draw within them, possibly even load PNG files on top of them. It's for an icon set, but it would potentially build 20,000 or so icons, based on variables. Then it would save the generated graphic to an external file.
If anybody is familiar with MIL-STD-2525C, I'm trying to build a python-based generator for the SIDC symbols. So, suggestions for what libraries, native or third-party, to import? Please, no turtle. :)
Take a look at Cairo.
It's a 2d graphic library with an easy-to-use API. It supports SVG documents and PostScript. So it should be ideal for icons and pictograms.
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I'm pretty new to the whole idea of data visualization, so I was hoping people could point me in the direction of efficient tools to use for a problem I have:
I've got a lot of numerical data (they are counts) that are tied to specific countries with a two-letter country code. Ideally, I'd like to be able to represent these counts using a sort of world heat map. In other words, if the count for India is 20 and the count for China is 5, I'd want China to be colored light red and India to be colored dark red.
What tools would be best to do something like this? I do my data manipulation and analysis using pandas and Python, so I'd love to keep things in the Python family, but I'd love any suggestions at all.
Matplotlib has something called basemap
Vincent
Databench is a tool that connects your Python analysis with an html frontend where you can use tables and interactive elements to navigate your data. You can also use d3.js or higher level JavaScript libraries that use d3.js to visualize your counts on a map.
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I want to visualize track on geographic map. I don't need thousands of layers, 3d and other GIS functionality. I just want to visualize my (latitude, longitude, altitude, time) tuples on map background as simple as possible. Animation should also be supported.
Could anyone recommend good Python library?
There's something called basemap which is an addon for matplotlib to do maps.
See the gallery or cookbook example.
Matplotlib has it's own animation support and I don't know any reason it shouldn't work with basemap (although as that page notes, it's not the fastest thing around).
There is a YouTube video series which covers basemap and matplotlib called 'Geographical Plotting with Python' posted by Sentdex.
Part 1 -
http://www.youtube.com/watch?v=E6gvtfQHJUs
Incidentally he has a number of other interesting Python projects on his channel:
http://www.youtube.com/user/sentdex