mise a jour

scripts/data-generation.py

@@ -0,0 +1,22 @@
+# iport PAndas
+import pandas as pd
+
+# data generation
+x=np.linspace(0,5)
+y1 = np.power(x,0.5)
+y2 = np.power(x,0.25)
+
+# Pandas series
+sx = pd.Series(x)
+sy1 = pd.Series(y1)
+sy2 = pd.Series(y2)
+
+# Concat data in columns
+nd = pd.concat([sx,sy1,sy2],axis=1)
+
+# Write data
+nd.to_csv("test.csv")
+
+# Read data
+d = pd.read_csv("test.csv",delimiter=",")
+print(d)

scripts/exp-imp.py

@@ -6,9 +6,9 @@ y= np.sin(x)
 
 # implicity
 plt.plot(x,y,label="sin")
-plt.xlabel('x label')
-plt.ylabel('y label')
-plt.title("Simple Plot")
+plt.xlabel('x')
+plt.ylabel('y')
+plt.title("Plot")
 plt.legend()
 plt.show()
 
@@ -18,5 +18,5 @@ ax = plt.subplot(aspect=1)
 ax.plot(x,y,label="sin") 
 ax.set_xlabel('x')  # Add an x-label to the axes.
 ax.set_ylabel('y')  # Add a y-label to the axes.
-ax.set_title("Simple Plot")  # Add a title to the axes.
+ax.set_title("Plot")  # Add a title to the axes.
 ax.legend() # Add a legend.

source/data.csv

@@ -0,0 +1,6 @@
+x;y;er
+1;1;0.2
+2;4;0.2
+3;8;0.3
+4;17;0.4
+5;24;0.2

source/data.raw

@@ -0,0 +1,3 @@
+1 1 0.2
+2 4 0.2
+3 8 0.3

source/data.txt

@@ -0,0 +1,4 @@
+x y er
+1 1 0.2
+2 4 0.2
+3 8 0.3

source/expe.dat

@@ -0,0 +1,11 @@
+   0.000000  0.894520
+ 100.000000  0.849616
+ 200.000000  0.806313
+ 300.000000  0.763861
+ 400.000000  0.722299
+ 500.000000  0.681680
+ 600.000000  0.642211
+ 700.000000  0.603411
+ 800.000000  0.565199
+ 900.000000  0.528873
+1000.000000  0.492817

source/power.dat

@@ -0,0 +1,49 @@
+0.102 0.319 0.565
+0.204 0.452 0.672
+0.306 0.553 0.744
+0.408 0.639 0.799
+0.510 0.714 0.845
+0.612 0.782 0.885
+0.714 0.845 0.919
+0.816 0.904 0.951
+0.918 0.958 0.979
+1.020 1.010 1.005
+1.122 1.059 1.029
+1.224 1.107 1.052
+1.327 1.152 1.073
+1.429 1.195 1.093
+1.531 1.237 1.112
+1.633 1.278 1.130
+1.735 1.317 1.148
+1.837 1.355 1.164
+1.939 1.392 1.180
+2.041 1.429 1.195
+2.143 1.464 1.210
+2.245 1.498 1.224
+2.347 1.532 1.238
+2.449 1.565 1.251
+2.551 1.597 1.264
+2.653 1.629 1.276
+2.755 1.660 1.288
+2.857 1.690 1.300
+2.959 1.720 1.312
+3.061 1.750 1.323
+3.163 1.779 1.334
+3.265 1.807 1.344
+3.367 1.835 1.355
+3.469 1.863 1.365
+3.571 1.890 1.375
+3.673 1.917 1.384
+3.776 1.943 1.394
+3.878 1.969 1.403
+3.980 1.995 1.412
+4.082 2.020 1.421
+4.184 2.045 1.430
+4.286 2.070 1.439
+4.388 2.095 1.447
+4.490 2.119 1.456
+4.592 2.143 1.464
+4.694 2.167 1.472
+4.796 2.190 1.480
+4.898 2.213 1.488
+5.000 2.236 1.495

source/test.csv

@@ -0,0 +1,51 @@
+,0,1,2
+0,0.0,0.0,0.0
+1,0.10204081632653061,0.31943828249996997,0.5651887140592688
+2,0.20408163265306123,0.45175395145262565,0.672126440078521
+3,0.30612244897959184,0.5532833351724882,0.7438301789874407
+4,0.40816326530612246,0.6388765649999399,0.7992975447228272
+5,0.5102040816326531,0.7142857142857143,0.8451542547285166
+6,0.6122448979591837,0.7824607964359516,0.884568141205612
+7,0.7142857142857143,0.8451542547285166,0.9193227152249185
+8,0.8163265306122449,0.9035079029052513,0.9505303271885918
+9,0.9183673469387755,0.9583148474999099,0.9789355686151718
+10,1.0204081632653061,1.0101525445522108,1.005063452997974
+11,1.1224489795918369,1.0594569267279519,1.029299240613706
+12,1.2244897959183674,1.1065666703449764,1.0519347272264454
+13,1.3265306122448979,1.1517511068997928,1.0731966767092567
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+49,5.0,2.23606797749979,1.4953487812212205