update large.xlsx with new data
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Niloofarafoolin
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analysis.ipynb
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analysis.ipynb
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@ -1,5 +1,601 @@
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Excel file 'all_data_with_delta.xlsx' created with 570 rows.\n",
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" Trial SoakingTime Condition Bag Measurement Sample \\\n",
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"0 1 0 Initial Moisture (Trial1) 1 1 1 \n",
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"1 1 0 Initial Moisture (Trial1) 1 1 2 \n",
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"2 1 0 Initial Moisture (Trial1) 1 2 1 \n",
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"3 1 0 Initial Moisture (Trial1) 1 2 2 \n",
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"4 1 0 Initial Moisture (Trial1) 1 3 1 \n",
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"5 1 0 Initial Moisture (Trial1) 1 3 2 \n",
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"6 1 0 Initial Moisture (Trial1) 1 4 1 \n",
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"7 1 0 Initial Moisture (Trial1) 1 4 2 \n",
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"8 1 0 Initial Moisture (Trial1) 1 5 1 \n",
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"9 1 0 Initial Moisture (Trial1) 1 5 2 \n",
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"10 1 0 Initial Moisture (Trial1) 2 1 1 \n",
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"11 1 0 Initial Moisture (Trial1) 2 1 2 \n",
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"12 1 0 Initial Moisture (Trial1) 2 2 1 \n",
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"13 1 0 Initial Moisture (Trial1) 2 2 2 \n",
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"14 1 0 Initial Moisture (Trial1) 2 3 1 \n",
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"15 1 0 Initial Moisture (Trial1) 2 3 2 \n",
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"16 1 0 Initial Moisture (Trial1) 2 4 1 \n",
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"17 1 0 Initial Moisture (Trial1) 2 4 2 \n",
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"18 1 0 Initial Moisture (Trial1) 2 5 1 \n",
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"19 1 0 Initial Moisture (Trial1) 2 5 2 \n",
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"\n",
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" InitialTemp Temp DeltaTemp InitialMC MC% DeltaMC \n",
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"0 65.2 65 -0.2 3.28 3.3 0.02 \n",
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"1 65.2 66 0.8 3.28 3.3 0.02 \n",
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"2 65.2 65 -0.2 3.28 3.1 -0.18 \n",
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"3 65.2 65 -0.2 3.28 3.3 0.02 \n",
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"4 65.2 65 -0.2 3.28 3.3 0.02 \n",
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"5 65.2 64 -1.2 3.28 3.4 0.12 \n",
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"6 65.2 66 0.8 3.28 3.3 0.02 \n",
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"7 65.2 64 -1.2 3.28 3.5 0.22 \n",
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"8 65.2 67 1.8 3.28 3.0 -0.28 \n",
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"9 65.2 65 -0.2 3.28 3.3 0.02 \n",
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"10 65.7 67 1.3 3.27 3.2 -0.07 \n",
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"11 65.7 66 0.3 3.27 3.1 -0.17 \n",
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"12 65.7 67 1.3 3.27 3.3 0.03 \n",
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"13 65.7 63 -2.7 3.27 3.4 0.13 \n",
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"14 65.7 66 0.3 3.27 3.2 -0.07 \n",
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"15 65.7 63 -2.7 3.27 3.3 0.03 \n",
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"16 65.7 67 1.3 3.27 3.3 0.03 \n",
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"17 65.7 66 0.3 3.27 3.3 0.03 \n",
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"18 65.7 65 -0.7 3.27 3.4 0.13 \n",
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"19 65.7 67 1.3 3.27 3.2 -0.07 \n"
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]
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}
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],
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"source": [
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"import pandas as pd\n",
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"\n",
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"# ------------------------------------------------------------------\n",
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"# 1. Manually define the data in a nested dictionary.\n",
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"# Each key is a condition block.\n",
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"# For each block, we have data for each bag (keys 1, 2, 3).\n",
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"# Each bag’s value is a list of 5 measurement rows.\n",
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"# In each measurement row, there are 2 sample readings as tuples: (Temp, MC%).\n",
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"# ------------------------------------------------------------------\n",
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"data = {\n",
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" \"Initial Moisture (Trial1)\": {\n",
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" 1: [\n",
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" [(65, 3.30), (66, 3.30)],\n",
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" [(65, 3.10), (65, 3.30)],\n",
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" [(65, 3.30), (64, 3.40)],\n",
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" [(66, 3.30), (64, 3.50)],\n",
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" [(67, 3.00), (65, 3.30)],\n",
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" ],\n",
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" 2: [\n",
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" [(67, 3.20), (66, 3.10)],\n",
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" [(67, 3.30), (63, 3.40)],\n",
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" [(66, 3.20), (63, 3.30)],\n",
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" [(67, 3.30), (66, 3.30)],\n",
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" [(65, 3.40), (67, 3.20)],\n",
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" ],\n",
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" 3: [\n",
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" [(71, 3.00), (68, 3.40)],\n",
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" [(68, 3.20), (69, 3.20)],\n",
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" [(68, 3.30), (70, 3.20)],\n",
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" [(69, 3.20), (70, 3.40)],\n",
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" [(68, 3.20), (70, 3.20)],\n",
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" ],\n",
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" },\n",
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" \"6 hours\": {\n",
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" 1: [\n",
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" [(69, 4.30), (68, 4.40)],\n",
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" [(69, 4.20), (67, 4.70)],\n",
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" [(69, 4.20), (67, 4.50)],\n",
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" [(68, 4.30), (68, 4.40)],\n",
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" [(68, 4.20), (67, 4.30)],\n",
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" ],\n",
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" 2: [\n",
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" [(71, 4.30), (69, 4.20)],\n",
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" [(69, 4.60), (69, 4.30)],\n",
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" [(69, 4.30), (69, 4.50)],\n",
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" [(68, 4.50), (69, 4.40)],\n",
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" [(68, 4.60), (68, 4.40)],\n",
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" ],\n",
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" 3: [\n",
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" [(69, 4.40), (69, 4.60)],\n",
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" [(69, 4.50), (69, 4.70)],\n",
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" [(70, 4.30), (69, 5.00)],\n",
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" [(69, 4.40), (69, 4.50)],\n",
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" [(68, 4.50), (69, 4.50)],\n",
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" ],\n",
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" },\n",
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" \"7 hours\": {\n",
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" 1: [\n",
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" [(69, 4.50), (69, 4.50)],\n",
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" [(68, 4.60), (69, 4.60)],\n",
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" [(68, 4.50), (69, 4.50)],\n",
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" [(68, 4.60), (68, 4.80)],\n",
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" [(69, 4.40), (68, 4.60)],\n",
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" ],\n",
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" 2: [\n",
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" [(69, 4.70), (69, 4.90)],\n",
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" [(69, 4.70), (69, 5.10)],\n",
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" [(68, 4.70), (69, 4.80)],\n",
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" [(68, 4.70), (69, 5.00)],\n",
|
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" [(68, 4.80), (68, 4.60)],\n",
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" ],\n",
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" 3: [\n",
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" [(70, 4.50), (70, 4.80)],\n",
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" [(69, 4.50), (68, 4.80)],\n",
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" [(69, 4.60), (67, 4.90)],\n",
|
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" [(69, 4.50), (69, 4.80)],\n",
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" [(69, 4.90), (68, 4.80)],\n",
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" ],\n",
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" },\n",
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" \"8 hours\": {\n",
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" 1: [\n",
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" [(68, 5.20), (67, 4.80)],\n",
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" [(69, 4.90), (67, 4.60)],\n",
|
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" [(69, 5.00), (68, 4.60)],\n",
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" [(68, 5.20), (68, 4.70)],\n",
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" [(68, 5.00), (68, 4.80)],\n",
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" ],\n",
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" 2: [\n",
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" [(69, 4.90), (68, 4.70)],\n",
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" [(68, 5.00), (68, 4.80)],\n",
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" [(68, 5.10), (68, 5.10)],\n",
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" [(67, 5.00), (68, 4.60)],\n",
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" [(68, 5.10), (68, 5.00)],\n",
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" ],\n",
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" 3: [\n",
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" [(70, 5.30), (69, 5.20)],\n",
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" [(69, 5.40), (67, 5.20)],\n",
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" [(69, 5.00), (69, 4.80)],\n",
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" [(69, 4.90), (69, 4.90)],\n",
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" [(68, 5.10), (68, 4.90)],\n",
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" ],\n",
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" },\n",
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" \"9 hours\": {\n",
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" 1: [\n",
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" [(68, 5.30), (68, 5.00)],\n",
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" [(68, 5.60), (68, 5.30)],\n",
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" [(68, 5.20), (68, 5.10)],\n",
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" [(68, 5.30), (68, 4.90)],\n",
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" [(68, 5.10), (68, 5.00)],\n",
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" ],\n",
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" 2: [\n",
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" [(71, 5.20), (69, 5.30)],\n",
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" [(70, 5.40), (69, 5.10)],\n",
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" [(70, 5.30), (69, 5.00)],\n",
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" [(70, 5.10), (69, 5.10)],\n",
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" [(69, 5.20), (68, 5.00)],\n",
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" ],\n",
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" 3: [\n",
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" [(71, 5.30), (68, 5.30)],\n",
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" [(71, 5.40), (69, 5.20)],\n",
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" [(70, 5.50), (68, 5.40)],\n",
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" [(68, 5.70), (68, 5.20)],\n",
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" [(68, 5.40), (68, 5.40)],\n",
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" ],\n",
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" },\n",
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" \"10 hours\": {\n",
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" 1: [\n",
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" [(68, 5.30), (68, 5.00)],\n",
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" [(68, 5.60), (68, 5.30)],\n",
|
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" [(68, 5.20), (68, 5.10)],\n",
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" [(68, 5.30), (68, 4.90)],\n",
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" [(68, 5.10), (68, 5.00)],\n",
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" ],\n",
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" 2: [\n",
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" [(71, 5.20), (69, 5.30)],\n",
|
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" [(70, 5.40), (69, 5.10)],\n",
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" [(70, 5.30), (69, 5.00)],\n",
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" [(70, 5.10), (69, 5.10)],\n",
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" [(69, 5.20), (68, 5.00)],\n",
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" ],\n",
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" 3: [\n",
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" [(71, 5.30), (68, 5.30)],\n",
|
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" [(71, 5.40), (69, 5.20)],\n",
|
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" [(70, 5.50), (68, 5.40)],\n",
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" [(68, 5.70), (68, 5.20)],\n",
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" [(68, 5.40), (68, 5.40)],\n",
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" ],\n",
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" },\n",
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" \"Initial Moisture (Trial2)\": {\n",
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" 1: [\n",
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" [(67, 3.20), (66, 3.50)],\n",
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" [(65, 3.30), (63, 3.50)],\n",
|
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" [(67, 3.10), (63, 3.50)],\n",
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" [(67, 3.20), (65, 3.50)],\n",
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" [(68, 3.30), (64, 3.40)],\n",
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" ],\n",
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" 2: [\n",
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" [(68, 3.20), (68, 3.30)],\n",
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" [(69, 3.30), (68, 3.30)],\n",
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" [(68, 3.40), (68, 3.30)],\n",
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" [(68, 3.30), (68, 3.30)],\n",
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" [(67, 3.30), (67, 3.30)],\n",
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" ],\n",
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" 3: [\n",
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" [(67, 3.30), (68, 3.30)],\n",
|
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" [(66, 3.40), (68, 3.30)],\n",
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" [(67, 3.40), (69, 3.30)],\n",
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" [(67, 3.50), (69, 3.40)],\n",
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" [(68, 3.30), (68, 3.00)],\n",
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" ],\n",
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" },\n",
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" \"14 hours\": {\n",
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" 1: [\n",
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" [(69, 6.80), (68, 6.70)],\n",
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" [(67, 7.00), (68, 6.60)],\n",
|
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" [(68, 6.80), (68, 6.70)],\n",
|
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" [(67, 6.70), (68, 6.40)],\n",
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" [(67, 6.90), (67, 6.60)],\n",
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" ],\n",
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" 2: [\n",
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" [(68, 6.10), (68, 6.60)],\n",
|
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" [(67, 6.00), (67, 6.70)],\n",
|
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" [(66, 6.40), (67, 6.90)],\n",
|
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" [(67, 6.30), (67, 6.70)],\n",
|
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" [(67, 6.00), (68, 6.40)],\n",
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" ],\n",
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" 3: [\n",
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" [(70, 5.70), (70, 6.50)],\n",
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" [(70, 6.00), (69, 6.30)],\n",
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" [(70, 5.90), (68, 6.40)],\n",
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" [(70, 5.60), (68, 6.70)],\n",
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" [(69, 5.80), (68, 6.60)],\n",
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" ],\n",
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" },\n",
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" \"15 hours\": {\n",
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" 1: [\n",
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" [(68, 7.20), (69, 7.30)],\n",
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" [(68, 7.20), (69, 6.80)],\n",
|
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" [(67, 7.10), (68, 7.00)],\n",
|
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" [(68, 7.50), (68, 6.90)],\n",
|
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" [(68, 7.10), (68, 7.20)],\n",
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" ],\n",
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" 2: [\n",
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" [(70, 6.60), (68, 6.60)],\n",
|
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" [(68, 6.70), (67, 6.60)],\n",
|
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" [(67, 6.70), (67, 6.80)],\n",
|
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" [(68, 6.50), (68, 6.70)],\n",
|
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" [(68, 6.80), (68, 6.60)],\n",
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" ],\n",
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" 3: [\n",
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" [(69, 5.90), (69, 6.30)],\n",
|
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" [(67, 6.10), (69, 6.20)],\n",
|
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" [(68, 6.10), (68, 6.40)],\n",
|
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" [(68, 5.90), (69, 6.40)],\n",
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" [(68, 6.20), (69, 6.30)],\n",
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" ],\n",
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" },\n",
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" \"16 hours\": {\n",
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" 1: [\n",
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" [(68, 6.90), (69, 6.90)],\n",
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" [(68, 6.70), (69, 6.90)],\n",
|
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" [(68, 7.00), (68, 6.70)],\n",
|
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" [(68, 6.80), (68, 7.00)],\n",
|
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" [(68, 6.80), (67, 7.20)],\n",
|
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" ],\n",
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" 2: [\n",
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" [(67, 6.60), (68, 7.00)],\n",
|
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" [(67, 6.80), (68, 6.90)],\n",
|
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" [(69, 6.40), (68, 7.30)],\n",
|
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" [(68, 6.60), (68, 7.50)],\n",
|
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" [(68, 6.60), (67, 7.40)],\n",
|
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" ],\n",
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" 3: [\n",
|
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" [(67, 6.30), (68, 6.70)],\n",
|
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" [(68, 6.20), (68, 6.80)],\n",
|
||||
" [(67, 6.30), (68, 6.90)],\n",
|
||||
" [(68, 6.20), (68, 6.80)],\n",
|
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" [(68, 6.20), (68, 6.70)],\n",
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" ],\n",
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" },\n",
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" \"17 hours\": {\n",
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" 1: [\n",
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" [(70, 6.90), (68, 7.00)],\n",
|
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" [(68, 7.20), (68, 7.10)],\n",
|
||||
" [(67, 6.90), (68, 7.00)],\n",
|
||||
" [(68, 7.30), (68, 7.00)],\n",
|
||||
" [(67, 6.90), (68, 7.00)],\n",
|
||||
" ],\n",
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||||
" 2: [\n",
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||||
" [(70, 7.00), (69, 7.00)],\n",
|
||||
" [(69, 6.90), (69, 6.90)],\n",
|
||||
" [(69, 7.10), (68, 7.00)],\n",
|
||||
" [(69, 7.00), (69, 7.00)],\n",
|
||||
" [(68, 7.00), (68, 7.00)],\n",
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" ],\n",
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" 3: [\n",
|
||||
" [(71, 6.70), (70, 6.50)],\n",
|
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" [(70, 7.00), (68, 6.50)],\n",
|
||||
" [(68, 7.00), (67, 6.60)],\n",
|
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" [(67, 7.10), (68, 6.60)],\n",
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" [(68, 7.00), (67, 6.60)],\n",
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" ],\n",
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" },\n",
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" \"18 hours\": {\n",
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" 1: [\n",
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" [(69, 7.40), (68, 7.10)],\n",
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" [(69, 7.10), (68, 7.10)],\n",
|
||||
" [(68, 7.20), (68, 7.20)],\n",
|
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" [(67, 7.40), (67, 7.10)],\n",
|
||||
" [(68, 7.30), (67, 7.20)],\n",
|
||||
" ],\n",
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||||
" 2: [\n",
|
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" [(70, 7.40), (71, 7.20)],\n",
|
||||
" [(70, 7.10), (70, 7.70)],\n",
|
||||
" [(70, 7.10), (68, 7.80)],\n",
|
||||
" [(69, 7.30), (68, 7.50)],\n",
|
||||
" [(69, 7.20), (68, 7.40)],\n",
|
||||
" ],\n",
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||||
" 3: [\n",
|
||||
" [(67, 7.00), (68, 7.00)],\n",
|
||||
" [(67, 6.80), (68, 6.90)],\n",
|
||||
" [(67, 6.70), (67, 7.10)],\n",
|
||||
" [(68, 6.60), (67, 6.90)],\n",
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||||
" [(68, 6.70), (67, 6.90)],\n",
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" ],\n",
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" },\n",
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" \"Initial Moisture (Trial3)\": {\n",
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||||
" 1: [\n",
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||||
" [(66, 2.90), (68, 2.90)],\n",
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||||
" [(66, 3.00), (68, 2.90)],\n",
|
||||
" [(64, 3.10), (69, 2.90)],\n",
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||||
" [(65, 2.90), (69, 3.00)],\n",
|
||||
" [(65, 3.00), (69, 2.80)],\n",
|
||||
" ],\n",
|
||||
" 2: [\n",
|
||||
" [(70, 2.90), (70, 2.90)],\n",
|
||||
" [(70, 3.00), (70, 3.00)],\n",
|
||||
" [(68, 2.90), (69, 2.90)],\n",
|
||||
" [(69, 2.90), (70, 3.00)],\n",
|
||||
" [(68, 3.00), (70, 3.00)],\n",
|
||||
" ],\n",
|
||||
" 3: [\n",
|
||||
" [(69, 2.80), (70, 2.90)],\n",
|
||||
" [(70, 2.90), (68, 3.00)],\n",
|
||||
" [(70, 2.90), (70, 3.00)],\n",
|
||||
" [(67, 3.00), (68, 3.00)],\n",
|
||||
" [(67, 3.00), (69, 3.00)],\n",
|
||||
" ],\n",
|
||||
" },\n",
|
||||
" \"26 hours\": {\n",
|
||||
" 1: [\n",
|
||||
" [(69, 7.80), (68, 8.70)],\n",
|
||||
" [(68, 8.00), (67, 8.80)],\n",
|
||||
" [(68, 7.70), (67, 8.40)],\n",
|
||||
" [(68, 7.80), (67, 8.80)],\n",
|
||||
" [(68, 7.80), (67, 8.40)],\n",
|
||||
" ],\n",
|
||||
" 2: [\n",
|
||||
" [(77, 7.80), (70, 8.10)],\n",
|
||||
" [(77, 7.80), (69, 8.00)],\n",
|
||||
" [(69, 7.70), (69, 8.30)],\n",
|
||||
" [(68, 7.70), (69, 8.00)],\n",
|
||||
" [(68, 7.90), (68, 8.00)],\n",
|
||||
" ],\n",
|
||||
" 3: [\n",
|
||||
" [(69, 8.40), (68, 8.30)],\n",
|
||||
" [(68, 8.10), (68, 8.00)],\n",
|
||||
" [(68, 8.60), (69, 8.10)],\n",
|
||||
" [(68, 8.20), (69, 8.10)],\n",
|
||||
" [(68, 8.40), (69, 8.00)],\n",
|
||||
" ],\n",
|
||||
" },\n",
|
||||
" \"27 hours\": {\n",
|
||||
" 1: [\n",
|
||||
" [(69, 8.10), (69, 8.80)],\n",
|
||||
" [(68, 8.10), (68, 8.30)],\n",
|
||||
" [(67, 8.60), (68, 8.60)],\n",
|
||||
" [(68, 8.50), (68, 8.40)],\n",
|
||||
" [(68, 8.10), (67, 8.70)],\n",
|
||||
" ],\n",
|
||||
" 2: [\n",
|
||||
" [(70, 8.10), (68, 8.30)],\n",
|
||||
" [(68, 8.00), (68, 8.60)],\n",
|
||||
" [(69, 8.30), (68, 8.60)],\n",
|
||||
" [(68, 8.20), (69, 8.50)],\n",
|
||||
" [(68, 8.60), (68, 8.50)],\n",
|
||||
" ],\n",
|
||||
" 3: [\n",
|
||||
" [(70, 8.20), (69, 8.50)],\n",
|
||||
" [(70, 8.20), (69, 8.50)],\n",
|
||||
" [(70, 8.20), (69, 8.60)],\n",
|
||||
" [(70, 8.20), (69, 8.50)],\n",
|
||||
" [(70, 8.30), (69, 8.10)],\n",
|
||||
" ],\n",
|
||||
" },\n",
|
||||
" \"28 hours\": {\n",
|
||||
" 1: [\n",
|
||||
" [(69, 8.60), (68, 8.80)],\n",
|
||||
" [(68, 8.50), (68, 9.20)],\n",
|
||||
" [(68, 8.50), (69, 8.90)],\n",
|
||||
" [(68, 8.70), (69, 8.90)],\n",
|
||||
" [(69, 8.30), (69, 8.90)],\n",
|
||||
" ],\n",
|
||||
" 2: [\n",
|
||||
" [(70, 8.00), (68, 9.40)],\n",
|
||||
" [(69, 8.90), (69, 8.50)],\n",
|
||||
" [(69, 8.00), (69, 9.30)],\n",
|
||||
" [(69, 9.20), (68, 8.30)],\n",
|
||||
" [(68, 8.30), (69, 9.20)],\n",
|
||||
" ],\n",
|
||||
" 3: [\n",
|
||||
" [(68, 8.40), (68, 8.70)],\n",
|
||||
" [(69, 8.50), (68, 8.80)],\n",
|
||||
" [(69, 8.00), (68, 8.20)],\n",
|
||||
" [(69, 8.30), (67, 8.80)],\n",
|
||||
" [(68, 8.20), (68, 8.70)],\n",
|
||||
" ],\n",
|
||||
" },\n",
|
||||
" \"29 hours\": {\n",
|
||||
" 1: [\n",
|
||||
" [(70, 8.40), (69, 8.80)],\n",
|
||||
" [(68, 8.50), (68, 9.00)],\n",
|
||||
" [(68, 8.60), (68, 8.50)],\n",
|
||||
" [(68, 8.30), (68, 8.70)],\n",
|
||||
" [(69, 8.60), (68, 8.80)],\n",
|
||||
" ],\n",
|
||||
" 2: [\n",
|
||||
" [(70, 8.70), (67, 9.10)],\n",
|
||||
" [(69, 8.90), (68, 8.70)],\n",
|
||||
" [(69, 8.10), (68, 8.60)],\n",
|
||||
" [(70, 8.10), (68, 8.70)],\n",
|
||||
" [(69, 8.10), (68, 8.60)],\n",
|
||||
" ],\n",
|
||||
" 3: [\n",
|
||||
" [(70, 8.70), (67, 9.00)],\n",
|
||||
" [(69, 8.90), (68, 8.80)],\n",
|
||||
" [(68, 8.10), (69, 8.80)],\n",
|
||||
" [(67, 8.80), (68, 8.80)],\n",
|
||||
" [(68, 8.10), (69, 8.80)],\n",
|
||||
" ],\n",
|
||||
" },\n",
|
||||
" \"30 hours\": {\n",
|
||||
" 1: [\n",
|
||||
" [(68, 9.20), (68, 8.90)],\n",
|
||||
" [(68, 9.40), (68, 9.30)],\n",
|
||||
" [(67, 9.30), (68, 8.80)],\n",
|
||||
" [(68, 9.40), (67, 8.50)],\n",
|
||||
" [(68, 9.40), (66, 8.90)],\n",
|
||||
" ],\n",
|
||||
" 2: [\n",
|
||||
" [(69, 9.80), (68, 9.60)],\n",
|
||||
" [(68, 9.40), (67, 9.50)],\n",
|
||||
" [(68, 9.60), (68, 9.30)],\n",
|
||||
" [(68, 9.60), (67, 9.40)],\n",
|
||||
" [(68, 9.30), (68, 9.50)],\n",
|
||||
" ],\n",
|
||||
" 3: [\n",
|
||||
" [(69, 8.50), (68, 8.70)],\n",
|
||||
" [(69, 8.50), (68, 8.60)],\n",
|
||||
" [(68, 9.80), (68, 9.60)],\n",
|
||||
" [(69, 8.50), (68, 8.60)],\n",
|
||||
" [(67, 8.20), (67, 8.50)],\n",
|
||||
" ],\n",
|
||||
" },\n",
|
||||
" \"31 hours\": {\n",
|
||||
" 1: [\n",
|
||||
" [(69, 9.30), (67, 9.30)],\n",
|
||||
" [(66, 9.50), (66, 9.30)],\n",
|
||||
" [(67, 9.30), (66, 9.10)],\n",
|
||||
" [(67, 9.50), (67, 9.30)],\n",
|
||||
" [(67, 9.50), (67, 9.30)],\n",
|
||||
" ],\n",
|
||||
" 2: [\n",
|
||||
" [(67, 8.50), (68, 9.00)],\n",
|
||||
" [(67, 8.70), (67, 9.00)],\n",
|
||||
" [(67, 9.20), (67, 9.20)],\n",
|
||||
" [(68, 9.10), (68, 8.60)],\n",
|
||||
" [(67, 8.90), (67, 8.90)],\n",
|
||||
" ],\n",
|
||||
" 3: [\n",
|
||||
" [(68, 8.90), (69, 8.80)],\n",
|
||||
" [(68, 8.80), (67, 8.90)],\n",
|
||||
" [(68, 8.60), (67, 8.90)],\n",
|
||||
" [(68, 8.60), (66, 8.70)],\n",
|
||||
" [(67, 8.90), (67, 8.70)],\n",
|
||||
" ],\n",
|
||||
" },\n",
|
||||
"}\n",
|
||||
"\n",
|
||||
"# ------------------------------------------------------------------\n",
|
||||
"# 2. Convert the nested dictionary into a list of tidy rows.\n",
|
||||
"# Here each row will contain:\n",
|
||||
"# Condition, SoakingTime, Trial, Bag, Measurement, Sample, Temp, MC%\n",
|
||||
"# ------------------------------------------------------------------\n",
|
||||
"rows = []\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"def get_trial(condition):\n",
|
||||
" # Determine trial based on the condition key\n",
|
||||
" if \"Trial1\" in condition or condition in [\"6 hours\", \"7 hours\", \"8 hours\", \"9 hours\", \"10 hours\"]:\n",
|
||||
" return 1\n",
|
||||
" elif \"Trial2\" in condition or condition in [\"14 hours\", \"15 hours\", \"16 hours\", \"17 hours\", \"18 hours\"]:\n",
|
||||
" return 2\n",
|
||||
" elif \"Trial3\" in condition or condition in [\"26 hours\", \"27 hours\", \"28 hours\", \"29 hours\", \"30 hours\", \"31 hours\"] or \"Initial Moisture (Trial3)\" in condition:\n",
|
||||
" return 3\n",
|
||||
" else:\n",
|
||||
" return None\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"def get_soaking_time(condition):\n",
|
||||
" # For initial measurements, use 0; otherwise, extract the first token as the numeric time\n",
|
||||
" if \"Initial Moisture\" in condition:\n",
|
||||
" return 0\n",
|
||||
" try:\n",
|
||||
" return int(condition.split()[0])\n",
|
||||
" except:\n",
|
||||
" return None\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"for condition, bags in data.items():\n",
|
||||
" trial = get_trial(condition)\n",
|
||||
" soaking_time = get_soaking_time(condition)\n",
|
||||
" for bag, meas_list in bags.items():\n",
|
||||
" for m_idx, meas in enumerate(meas_list, start=1):\n",
|
||||
" # We assume each measurement row has 2 sample readings (for that bag)\n",
|
||||
" for s_idx, (temp, mc) in enumerate(meas, start=1):\n",
|
||||
" rows.append({\"Condition\": condition, \"Trial\": trial, \"SoakingTime\": soaking_time, \"Bag\": bag, \"Measurement\": m_idx, \"Sample\": s_idx, \"Temp\": temp, \"MC%\": mc})\n",
|
||||
"\n",
|
||||
"# Create a DataFrame from the collected rows.\n",
|
||||
"df = pd.DataFrame(rows)\n",
|
||||
"\n",
|
||||
"# ------------------------------------------------------------------\n",
|
||||
"# 3. Compute baseline values (initial measurements) for each trial and bag.\n",
|
||||
"# For each trial, use the rows where Condition contains \"Initial Moisture\" to get the baseline.\n",
|
||||
"# ------------------------------------------------------------------\n",
|
||||
"baseline = {} # structure: { trial: { bag: { \"InitialTemp\": value, \"InitialMC\": value } } }\n",
|
||||
"\n",
|
||||
"for trial in df[\"Trial\"].unique():\n",
|
||||
" trial = int(trial)\n",
|
||||
" # Filter for initial measurements for this trial.\n",
|
||||
" init_df = df[df[\"Condition\"].str.contains(\"Initial Moisture\") & (df[\"Trial\"] == trial)]\n",
|
||||
" # Compute the average baseline for each bag.\n",
|
||||
" for bag in sorted(init_df[\"Bag\"].unique()):\n",
|
||||
" bag_df = init_df[init_df[\"Bag\"] == bag]\n",
|
||||
" baseline.setdefault(trial, {})[bag] = {\"InitialTemp\": bag_df[\"Temp\"].mean(), \"InitialMC\": bag_df[\"MC%\"].mean()}\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"# ------------------------------------------------------------------\n",
|
||||
"# 4. For each non-initial measurement row, add the baseline values and compute deltas.\n",
|
||||
"# (For initial rows, delta will be zero.)\n",
|
||||
"# ------------------------------------------------------------------\n",
|
||||
"def assign_baseline(row):\n",
|
||||
" trial = int(row[\"Trial\"])\n",
|
||||
" bag = row[\"Bag\"]\n",
|
||||
" base = baseline.get(trial, {}).get(bag, {\"InitialTemp\": None, \"InitialMC\": None})\n",
|
||||
" return pd.Series({\"InitialTemp\": base[\"InitialTemp\"], \"InitialMC\": base[\"InitialMC\"]})\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"df_baseline = df.apply(assign_baseline, axis=1)\n",
|
||||
"df = pd.concat([df, df_baseline], axis=1)\n",
|
||||
"\n",
|
||||
"# Compute delta columns.\n",
|
||||
"df[\"DeltaTemp\"] = df[\"Temp\"] - df[\"InitialTemp\"]\n",
|
||||
"df[\"DeltaMC\"] = df[\"MC%\"] - df[\"InitialMC\"]\n",
|
||||
"\n",
|
||||
"# ------------------------------------------------------------------\n",
|
||||
"# 5. Rearrange columns for clarity.\n",
|
||||
"# ------------------------------------------------------------------\n",
|
||||
"df = df[[\"Trial\", \"SoakingTime\", \"Condition\", \"Bag\", \"Measurement\", \"Sample\", \"InitialTemp\", \"Temp\", \"DeltaTemp\", \"InitialMC\", \"MC%\", \"DeltaMC\"]]\n",
|
||||
"\n",
|
||||
"# ------------------------------------------------------------------\n",
|
||||
"# 6. Save the tidy data to an Excel file.\n",
|
||||
"# ------------------------------------------------------------------\n",
|
||||
"output_filename = \"all_data_with_delta.xlsx\"\n",
|
||||
"df.to_excel(output_filename, index=False)\n",
|
||||
"print(f\"Excel file '{output_filename}' created with {len(df)} rows.\")\n",
|
||||
"print(df.head(20))"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
|
|
@ -15,7 +611,15 @@
|
|||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.12.4"
|
||||
}
|
||||
},
|
||||
|
|
|
|||
BIN
data/large.xlsx
BIN
data/large.xlsx
Binary file not shown.
Loading…
Reference in New Issue