move to wsl

.gitignore

@@ -5,22 +5,16 @@
 *.json
 *.png
 *.txt
-2016Q3D/
+data/
 result/
 !requirements.txt
 
-# env
-venv/
-
 # build cache
 __pycache__
 
 # config
 .vscode
-.vs
 
 # dev
 *.ipynb
 test*
-
-*.code-workspace

qdx/bind.py

@@ -219,7 +219,7 @@ class Bind(object):
         plt.ylabel("Output - Right (Y) / (channel)")
 
         ax.legend()
-        fig.savefig(title, facecolor="w", transparent=False, bbox_inches='tight')
+        fig.savefig(title, facecolor="w", transparent=False, bbox_inches="tight")
         plt.close()
 
     def draw_peak(self, title):

qdx/calibration.py

@@ -4,7 +4,7 @@ import numpy as np
 from tqdm import tqdm
 from matplotlib import pyplot as plt
 
-from .Bind import Bind
+from .bind import Bind
 from .utils import readBlockData, get_hist
 
 
@@ -39,10 +39,10 @@ class Calibration(object):
         pbar = tqdm(desc="Read Data E1", total=len(open(file1, "r").readlines()))
         for row in file_list:
             pn = int(row[1])
-            ldata, rdata = readBlockData(row[0], int(row[5]), pn, m)
+            ldata, rdata = readBlockData(row[0], int(row[3]), pn, m)
             for i in range(m):
                 bind = self.binds[pn][i]
-                bind.add_data(0, ldata[i], rdata[i], float(row[4]))
+                bind.add_data(0, ldata[i], rdata[i], float(row[2]))
             pbar.update(1)
         pbar.close()
 
@@ -50,10 +50,10 @@ class Calibration(object):
         pbar = tqdm(desc="Read Data E2", total=len(open(file2, "r").readlines()))
         for row in file_list:
             pn = int(row[1])
-            ldata, rdata = readBlockData(row[0], int(row[5]), pn, m)
+            ldata, rdata = readBlockData(row[0], int(row[3]), pn, m)
             for i in range(m):
                 bind = self.binds[pn][i]
-                bind.add_data(1, ldata[i], rdata[i], float(row[4]))
+                bind.add_data(1, ldata[i], rdata[i], float(row[2]))
             pbar.update(1)
         pbar.close()
 

qdx/process.py

@@ -3,7 +3,7 @@ import numpy as np
 from tqdm import tqdm
 from matplotlib import pyplot as plt
 
-from .Bind import Bind
+from .bind import Bind
 from .fit import fit_line
 from .model import Linear1D
 from .utils import readFileData, get_hist