From 12cbb21077bd6de997bf91974d6ea95e8d318083 Mon Sep 17 00:00:00 2001
From: Dev Singh <dev@singhk.dev>
Date: Fri, 6 Mar 2020 12:43:01 -0600
Subject: [PATCH] super ultra working

---
 .../__pycache__/analysis.cpython-37.pyc       | Bin 26717 -> 26640 bytes
 data analysis/analysis/analysis.py            |  27 ++++++------------
 2 files changed, 9 insertions(+), 18 deletions(-)

diff --git a/data analysis/analysis/__pycache__/analysis.cpython-37.pyc b/data analysis/analysis/__pycache__/analysis.cpython-37.pyc
index ab9a7c01e220b38919996687c9d3e81ba2f539cd..9cd8c993cb9cf52831a77cadf81e97fcd49a7364 100644
GIT binary patch
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diff --git a/data analysis/analysis/analysis.py b/data analysis/analysis/analysis.py
index 4d077276..01262f96 100644
--- a/data analysis/analysis/analysis.py	
+++ b/data analysis/analysis/analysis.py	
@@ -348,17 +348,17 @@ def histo_analysis(hist_data):
 
 def regression(inputs, outputs, args): # inputs, outputs expects N-D array 
 
-    inputs = inputs[~np.isnan(inputs)]
-    outputs = outputs[~np.isnan(outputs)]
+    inputs = np.array(inputs)
+    outputs = np.array(outputs)
+
+    inputs = inputs[np.isfinite(inputs)]
+    outputs = outputs[np.isfinite(outputs)]
     regressions = []
 
     if 'lin' in args: # formula: ax + b
 
         try:
 
-            X = np.array(inputs)
-            y = np.array(outputs)
-
             def func(x, a, b):
 
                 return a * x + b
@@ -375,9 +375,6 @@ def regression(inputs, outputs, args): # inputs, outputs expects N-D array
 
         try:
 
-            X = np.array(inputs)
-            y = np.array(outputs)
-
             def func(x, a, b, c, d):
 
                 return a * np.log(b*(x + c)) + d
@@ -392,10 +389,7 @@ def regression(inputs, outputs, args): # inputs, outputs expects N-D array
 
     if 'exp' in args: # formula: a e ^ (b(x + c)) + d
 
-        try:
-
-            X = np.array(inputs)
-            y = np.array(outputs)
+        try:        
 
             def func(x, a, b, c, d):
 
@@ -411,8 +405,8 @@ def regression(inputs, outputs, args): # inputs, outputs expects N-D array
 
     if 'ply' in args: # formula: a + bx^1 + cx^2 + dx^3 + ...
         
-        inputs = [inputs]
-        outputs = [outputs]
+        inputs = np.array([inputs])
+        outputs = np.array([outputs])
 
         plys = []
         limit = len(outputs[0])
@@ -434,10 +428,7 @@ def regression(inputs, outputs, args): # inputs, outputs expects N-D array
 
     if 'sig' in args: # formula: a tanh (b(x + c)) + d
 
-        try:
-
-            X = np.array(inputs)
-            y = np.array(outputs)
+        try:        
 
             def func(x, a, b, c, d):