added codes

doc/Programs/ProjectsData/dataprep.py

@@ -0,0 +1,31 @@
+import numpy as np
+import pickle
+from matplotlib import pyplot as plt
+from sklearn.linear_model import LogisticRegression
+
+"""
+Download https://physics.bu.edu/~pankajm/ML-Review-Datasets/isingMC/IsingData.zip
+Unzip files in the same folder as this script.
+Run script
+"""
+
+def read_t(t=0.25,root="./"):
+    if t > 0.:
+        data = pickle.load(open(root+'Ising2DFM_reSample_L40_T=%.2f.pkl'%t,'rb'))
+    return np.unpackbits(data).astype(int).reshape(-1,1600)
+
+stack = []
+for i,t in enumerate(np.arange(0.25,4.01,0.25)):
+    y = np.ones(10000,dtype=int)
+    if t > 2.25:
+        y*=0
+    stack.extend(list(y))
+
+y = np.array(stack)
+
+stack = []
+for t in np.arange(0.25,4.01,0.25):
+    stack.append(read_t(t))
+
+X = np.vstack(stack)
+