implemented dictionary creation

data/dispersion csv files/juninho.csv

@@ -0,0 +1,23 @@
+;;value;standard deviation;;;;;value;standard deviation;;;;;value;standard deviation;;;;;value;standard deviation
+Rocket Parameters:;;;;;;Motor Parameters:;;;;;;Launch and Environment;;;;;;Recuperation and eletronics;;;
+;rocketMass;12.96;0.648;;;;impulse;3053.198;305.3198;;;;inclination;86;1.18;;;;CdSDrogue;0.37;0.037
+;inertiaI;7.73;0.3867;;;;burnOut;4.488;0.8976;;;;heading;0;1.18;;;;CdSMain;1.06;0.106
+;inertiaZ;0.0279;0.001395;;;;nozzleRadius;0.02222;0.002222;;;;railLength;4.2;0.042;;;;lag_rec;1;0.5
+;radius;0.0529;0.000529;;;;throatRadius;0.00875;0.000875;;;;radiusRailPosition;0;2.5;;;;lag_se;0;0
+;distanceRocketNozzle;-0.91591;-0.0457955;;;;grainSeparation;0.006;0.0006;;;;ensambleMember;[0,1,2,3,4,5];;;;;;;
+;distanceRocketProppelant;-0.571773;-0.02858865;;;;grainDensity;1641.5;164.15;;;;windU;[3,4,5,6];;;;;;;
+;powerOffDrag;1;0.2;;;;grainOuterRadius;0.03596;0.003596;;;;windV;[3,4,5,6];;;;;;;
+;powerOnDrag;1;0.2;;;;grainInitialInnerRadius;0.01596;0.001596;;;;time;[6,12,18];;;;;;;
+nose;noseLength;0.41533;0.0041533;;;;grainInitialHeight;0.124;0.0124;;;;day;[23,24,25,26,27,28,29,30,31];;;;;;;
+;noseDistanceToCM;1.19467;0.0597335;;;;;;;;;;thetaRailPosition;[0,1,2,3,4,5,6,7,8,9,10];;;;;;;
+fins;finSpan;0.13;0.00065;;;;;;;;;;;;;;;;;;
+;finRootChord;0.12;0.0006;;;;;;;;;;;;;;;;;;
+;finDistanceToCM;-0.72911;0.00364555;;;;;;;;;;;;;;;;;;
+tail;tailDistanceToCM;-0.869;0.04345;;;;;;;;;;;;;;;;;;
+;tailTopRadius;0.0529;0.000529;;;;;;;;;;;;;;;;;;
+;tailbottomRadius;0.043296;0.00043296;;;;;;;;;;;;;;;;;;
+;tailLength;0.057;0.00057;;;;;;;;;;;;;;;;;;
+canard;canardSpan;0.062;0.00031;;;;;;;;;;;;;;;;;;
+;canardRootChord;0.062;0.00031;;;;;;;;;;;;;;;;;;
+;canardTipChord;0.062;0.00031;;;;;;;;;;;;;;;;;;
+;canardDistanceToCM;0.431771;0.02158855;;;;;;;;;;;;;;;;;;

rocketpy/utilities.py

@@ -4,6 +4,7 @@
 __license__ = "MIT"
 
 import numpy as np
+import pandas as pd
 from scipy.integrate import solve_ivp
 
 from .Environment import Environment
@@ -197,3 +198,64 @@ def du(z, u):
         velocityFunction()
 
     return altitudeFunction, velocityFunction, final_sol
+
+def create_dispersion_dictionary(dic):
+    dataframe = pd.read_csv(dic,sep = ';', skiprows=[0,1], header = None)
+
+
+    rocketKeys = list(dataframe[1].dropna())
+    rocketValues = list(dataframe[2].dropna())
+    rocketSD = list(dataframe[3])
+
+    motorKeys = list(dataframe[7].dropna())
+    motorValues = list(dataframe[8].dropna())
+    motorSD = list(dataframe[9])
+
+    launchKeys = list(dataframe[13].dropna())
+    launchValues = list(dataframe[14].dropna())
+    launchSD = list(dataframe[15])
+
+    parachuteKeys = list(dataframe[19].dropna())
+    parachuteValues = list(dataframe[20].dropna())
+    parachuteSD = list(dataframe[21])
+
+
+    allValues = []
+    # crating the dictionary
+
+    for i in range(0,len(rocketKeys)):
+
+        if pd.isnull(rocketSD[i]):
+            allValues.append(rocketValues[i])
+        else:
+            allValues.append(((rocketValues[i]), (rocketSD[i]))) 
+
+    for j in range(0,len(motorKeys)):
+
+        if pd.isnull(motorSD[j]):
+            allValues.append(motorValues[j])
+        else:
+            allValues.append(((motorValues[j]), (motorSD[j]))) 
+
+    for k in range(0,len(parachuteKeys)):
+
+        if pd.isnull(parachuteSD[k]):
+            allValues.append(parachuteValues[k])
+        else:
+            allValues.append(((parachuteValues[k]), (parachuteSD[k]))) 
+
+    for l in range(0,len(launchKeys)):
+
+        if pd.isnull(launchSD[l]):
+            allValues.append(launchValues[l])
+        else:
+            allValues.append(((launchValues[l]), (launchSD[l]))) 
+
+
+    allKeys = rocketKeys + motorKeys + parachuteKeys + launchKeys
+
+    analysis_parameters = dict(zip(allKeys,allValues))
+    return analysis_parameters
+
+
+