Differences

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--- features [2011/11/01 21:29] – [Features highlight] Change data import line arnaud
+++ features [2015/01/11 21:43] (current) – external edit 127.0.0.1
@@ Line 1: / Line 1: @@
 ====== Features highlight ======
-Oscopy is an interactive oscilloscope written in python designed to simplify the electrical design workflow. It allow to read, view and post-process signals with support for automatic dependency tracking.\\
+**IOscopy** together with **Oscopy** form plotting program for electrical simulation data.
-File re-reading (updates) can be triggered by external applications like gEDA suite through D-Bus messaging system, and then Oscopy can call netlist generator and electrical simulator programs automatically.
-As oscopy is built on top of IPython, post-processing include as well as simple arithmetic operations as complex functions like FFT.
+**IOscopy** is a front-end application built on top of IPython. The combination of Python, IPython and oscopy back-end make IOscopy a powerful tool for data viewing and post-processing.
+Support for simple arithmetic operations as complex functions like FFT is included.
+Input file re-reading (updates) can be triggered by external applications like gEDA suite through D-Bus messaging system, and then IOscopy can call netlist generator and electrical simulator programs automatically.
+IOscopy uses oscopy as back-end to manage files, signals, plots.
+**Oscopy** is a back-end written in python designed to simplify the electrical design workflow. It allow to read, view and post-process signals with support for automatic dependency tracking.\\
 Oscopy can be easily extended to a multi-purpose viewer, as adding new data file formats and new types of plots is really easy.
-Note: oscopy executable is called ''ioscopy'' to show it is built on top of IPython, and to prepare the separation between the framework (which manages Signals, Figures and Graphs) and the application (which manages the user interface).
+The mains features of IOscopy are:
-  * Post-processing: math expressions (through numpy ufuncs, numpy.fft)
+  * **Post-processing**: math expressions (arithmetic, trigonometric, boolean, fft)
-  * View, examine: multiple windows, cursors
+  * **View**, examine: multiple windows, cursors, zoom with mouse wheel, span
-  * Data import: see below
+  * Data import: see [[features#Supported input formats|below]]
   * Data export: gnucap, pictures
-  * Dependency tracking during file updates
+  * **Dependency tracking** of Signals during input file updates
   * Scripting
+  * **Integration** with other tools: Run netlister and simulator from oscopy, run ioscopy from gEDA's gschem
   * D-Bus support: update recursively Signals by sending events from external program (e.g. gschem)
-  * Run netlister and simulator from oscopy
+  * [[features#Drag and drop|Drag and drop]] of signals between windows
-  * Integration with gschem
+====== Data examination ======
+Zoom with the mouse wheel
+Move similar plots with scrolls bars
+Select span with mouse when function enabled
 ====== Supported input formats ======
@@ Line 33: / Line 44: @@
 Support for mathematic with signals is implemented. Supported functions:\\
-[[http://docs.scipy.org/doc/numpy/reference/ufuncs.html#available-ufuncs|numpy.ufuncs]] and [[http://docs.scipy.org/doc/numpy/reference/routines.fft.html|numpy.fft]]
+  * Arithmetic functions: +, -, *, /, ...
+  * Trigonometric functions: sin, cos, asin, ...
+  * Booleans
+  * FFT: fft, ifft...
+Complete list reported in [[http://docs.scipy.org/doc/numpy/reference/ufuncs.html#available-ufuncs|numpy.ufuncs]] and [[http://docs.scipy.org/doc/numpy/reference/routines.fft.html|numpy.fft]]
 ====== Cursors ======
@@ Line 40: / Line 57: @@
 ====== Drag and drop ======
-You can drag'n drop signals from the signal list window to each graphs.\\
+Drop a file into the main window to open it and then drag signals to figures to insert them.