Updated plot names and tweaked alpha function.

.gitignore

@@ -1,5 +1,6 @@
 # Figures directory
 figures*
+fromMat
 
 # Byte-compiled / optimized / DLL files
 __pycache__/

README.md

@@ -1,35 +1,36 @@
 # What is this?
 This whole tool is a basic front end for using Python's `matplotlib` in a
-moderately interactive and robust manner to do MATLAB-like number crunching and
-(more critically) plot generation for papers.
+moderately interactive and robust manner to do MATLAB-like number crunching
+and (more critically) plot generation for papers.
 
 ## MATLAB Soapbox Explanation
-While MATLAB has routines to save figures, the graphics back-end routinely runs
-into issues with NVIDIA GPU based systems, and I'm sick and tired of being tied
-to a tool that has a heavy resource footprint and only moderate documentation.
-The licensing restrictions (though not fundamentally debilitating) are a
-secondary reason I'm moving away from MATLAB. Finally, as I expect to graduate
-soon, the $50 (or $130 for my toolboxes) annual cost is going to rise to a
-debilitating point for things as mundane as personal projects. So I might as
-well kick an expensive habit while it's easy to fall back when needed.
+While MATLAB has routines to save figures, the graphics back-end routinely
+runs into issues with NVIDIA GPU based systems, and I'm sick and tired of
+being tied to a tool that has a heavy resource footprint and only moderate
+documentation. The licensing restrictions (though not fundamentally
+debilitating) are a secondary reason I'm moving away from MATLAB. Finally,
+as I expect to graduate soon, the $50 (or $130 for my toolboxes) annual
+cost is going to rise to a debilitating point for things as mundane as
+personal projects. So I might as well kick an expensive habit while it's
+easy to fall back when needed.
 
 # Resources
 There are a few tricks to help configuring `matplotlib`. I'll update this
-document to describe the commands and tools to help decipher the information
-required to produce plots in a repeatable and tidy way.
+document to describe the commands and tools to help decipher the
+information required to produce plots in a repeatable and tidy way.
 
 ## 1. Plot Defaults
 Plot defaults are managed by the `matplotlib`
 
 ## 2. Font Selection
 ```python
-import `matplotlib`.font_manager
+import matplotlib.font_manager
 print(matplotlib.font_manager.fontManager.afmlist)
 print(matplotlib.font_manager.fontManager.ttflist)
 ```
 
 I search for fonts using the following method:
-```
+```python
 import matplotlib.font_manager as FM
 import re
 
@@ -45,7 +46,6 @@ fontsAvailable = set([FM.FontProperties(fname=fcFont).get_name()\
 
 [matplotlib docs](https://matplotlib.org/api/font_manager_api.html)
 
-## 3. 
 
 # TODO
 * make pySmithPlot a git sub-module

TankGlobals.py

@@ -100,11 +100,14 @@ class ampSystem:
 	@property
 	def alpha_swp(self):
 		range_partial = np.ceil(self.gamma_len/2)
-		lhs = np.linspace(np.sqrt(self.alpha_min),1, range_partial)
-		rhs = np.flip(lhs,0)
+		rhs = np.power(np.linspace(0,1,range_partial),2)*(self.alpha_min-1)+1
+		lhs = np.flip(rhs,0)
+		#lhs = np.linspace(np.sqrt(self.alpha_min),1, range_partial)
+		#rhs = np.flip(lhs,0)
 		swp = np.concatenate((lhs,rhs[1:])) if np.mod(self.gamma_len,2) == 1 \
 												else np.concatenate((lhs,rhs))
-		return np.power(swp,2)
+		#return np.power(swp,2)
+		return swp
 
 	def set_gamma_swp(self, gamma_swp_function):
 		self._gamma_map_function = gamma_swp_function

tankPlot.py

@@ -179,9 +179,9 @@ if 1 in plot_list or 11 in plot_list:
 	ax1[0].plot(f.hz,dB20(tf))
 	ax1[1].plot(f.hz,ang_unwrap(tf))
 
-	ax1[0].set_title('TF Gain')
+	ax1[0].set_title('Stage Gain Response')
 	ax1[0].set_ylabel('Gain (dB)')
-	ax1[1].set_title('TF Phase')
+	ax1[1].set_title('Stage Phase Response')
 	ax1[1].set_ylabel('Phase (deg)')
 
 	for axT in ax1: