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Commit b09f376c authored by markn92's avatar markn92
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evaluation/Query Cycles.ipynb 0 → 100644
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View file @ b09f376c
%% Cell type:code id: tags:
``` python
from pathlib import Path
from collections import defaultdict
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import rc
plt.rc('text', usetex=True)
plt.rc('font', family='serif', size=14)
```
%% Cell type:markdown id: tags:
# Random Query Data
%% Cell type:code id: tags:
``` python
query_tag = 'saved/2020-05-25T18:07:55.704835'
query_conf_name ='query_cycles'
algorithms = ['charge']
```
%% Cell type:code id: tags:
``` python
def get_query_data(tag, conf_name, algorithms):
# Paths to Benchmark Results
result_dir = Path('./results').joinpath(tag, conf_name)
data = {}
for alg in algorithms:
path = result_dir.joinpath(f'{alg}.csv')
data[alg] = pd.read_csv(path,dtype={'start_node': str, 'target_node': str})
return data
query_data = get_query_data(query_tag, query_conf_name, algorithms)['charge']
```
%% Cell type:code id: tags:
``` python
query_data.head()
```
%% Output
start_node target_node query_time trip_time nodes edges \
0 1818192324 563891042 4.347978 1516.057241 53509 117187
1 866359483 954303979 0.097798 111.054868 53509 117187
2 672963211 6535929547 22.595656 1706.709976 53509 117187
3 322879733 3143348032 209.955545 6027.668864 53509 117187
4 6254090150 267734888 6.295368 664.992671 53509 117187
charging_stations charging_stops charging_time dominance_checks \
0 40 0 0 134752
1 40 0 0 90
2 40 0 0 612399
3 40 0 0 5732090
4 40 0 0 171115
tweak_on tweak_depth
0 on 0
1 on 0
2 on 0
3 on 0
4 on 0
%% Cell type:code id: tags:
``` python
def plot_query_cycle_alt(query_data):
def rel_diff(x):
return (x[0] - x[1]) / x[0]
query_data = query_data.sort_values(by=['start_node', 'target_node', 'tweak_depth'])
query_data['diff_checks'] = query_data['dominance_checks'].rolling(window=2).apply(rel_diff, raw=True)
query_data['diff_time'] = query_data['query_time'].rolling(window=2).apply(rel_diff, raw=True)
fig, ax = plt.subplots(figsize=(4.5,4))
y = query_data.groupby('tweak_depth').mean()
std = query_data.groupby('tweak_depth').std()
ax.errorbar(x=y.index[1:] + 1,
y=y['diff_checks'].iloc[1:],
yerr=std['diff_checks'].iloc[1:],
marker='o',
capsize=4
)
print(y['diff_checks'].iloc[1:])
print(std['diff_checks'].iloc[1:])
ax.set_xticks(y.index[1:] + 1)
ax.set_yscale('log')
ax.set_xlabel('Maximallänge der ausgschlossenen Kreise')
ax.set_ylabel('$\Delta$ Labelvergleiche')
fig.tight_layout()
fig.savefig('img/kreise.pdf', bbox='tight')
fig, ax = plt.subplots(figsize=(4.5,4))
ax.errorbar(x=y.index[1:] + 1,
y=y['diff_time'].iloc[1:] * 100,
yerr=std['diff_time'].iloc[1:] * 100,
marker='o',
capsize=4
)
ax.set_xticks(y.index[1:] + 1)
#ax.set_yscale('log')
ax.set_xlabel('Maximallänge der ausgschlossenen Kreise')
ax.set_ylabel('$\Delta$ Laufzeit in \%')
fig.tight_layout()
fig.savefig('img/kreise_zeit.pdf', bbox='tight')
```
%% Cell type:code id: tags:
``` python
plot_query_cycle_alt(query_data)
```
%% Output
tweak_depth
1 0.514315
2 0.002519
3 0.001752
4 0.001282
5 0.000426
Name: diff_checks, dtype: float64
tweak_depth
1 0.146701
2 0.001500
3 0.001046
4 0.000972
5 0.000287
Name: diff_checks, dtype: float64
%% Cell type:code id: tags:
``` python
```
evaluation/results/saved/2020-05-25T18:07:55.704835/query_cycles/charge.csv 0 → 100644
+ 31
− 0
View file @ b09f376c
start_node,target_node,query_time,trip_time,nodes,edges,charging_stations,charging_stops,charging_time,dominance_checks,tweak_on,tweak_depth
1818192324,563891042,4.34797792500467,1516.0572408010794,53509,117187,40,0,0,134752,on,0
866359483,954303979,0.09779810399777489,111.0548675416733,53509,117187,40,0,0,90,on,0
672963211,6535929547,22.595656324003357,1706.7099762165788,53509,117187,40,0,0,612399,on,0
322879733,3143348032,209.9555447330058,6027.668864131489,53509,117187,40,0,0,5732090,on,0
6254090150,267734888,6.295368361999863,664.9926708182333,53509,117187,40,0,0,171115,on,0
1818192324,563891042,2.827268250002817,1516.0572408010794,53509,117187,40,0,0,76536,on,1
866359483,954303979,0.09801150499697542,111.0548675416733,53509,117187,40,0,0,21,on,1
672963211,6535929547,11.750118348005344,1706.7099762165788,53509,117187,40,0,0,352970,on,1
322879733,3143348032,125.3608258480017,6027.668864131489,53509,117187,40,0,0,3275921,on,1
6254090150,267734888,3.7869395109955803,664.9926708182333,53509,117187,40,0,0,82005,on,1
1818192324,563891042,2.8512904809977044,1516.0572408010794,53509,117187,40,0,0,76242,on,2
866359483,954303979,0.09465720899606822,111.0548675416733,53509,117187,40,0,0,21,on,2
672963211,6535929547,12.317480808000255,1706.7099762165788,53509,117187,40,0,0,351765,on,2
322879733,3143348032,128.14251153200166,6027.668864131489,53509,117187,40,0,0,3266582,on,2
6254090150,267734888,3.7291627480008174,664.9926708182333,53509,117187,40,0,0,81801,on,2
1818192324,563891042,2.7880056200010586,1516.0572408010794,53509,117187,40,0,0,76097,on,3
866359483,954303979,0.09524358599446714,111.0548675416733,53509,117187,40,0,0,21,on,3
672963211,6535929547,11.664137986001151,1706.7099762165788,53509,117187,40,0,0,351081,on,3
322879733,3143348032,127.67275409599824,6027.668864131489,53509,117187,40,0,0,3259716,on,3
6254090150,267734888,3.870156176999444,664.9926708182333,53509,117187,40,0,0,81571,on,3
1818192324,563891042,2.9493768800020916,1516.0572408010794,53509,117187,40,0,0,76003,on,4
866359483,954303979,0.09723945899895625,111.0548675416733,53509,117187,40,0,0,21,on,4
672963211,6535929547,12.100756392996118,1706.7099762165788,53509,117187,40,0,0,350620,on,4
322879733,3143348032,127.23750017300335,6027.668864131489,53509,117187,40,0,0,3256044,on,4
6254090150,267734888,3.9760891659971094,664.9926708182333,53509,117187,40,0,0,81348,on,4
1818192324,563891042,3.0014626030024374,1516.0572408010794,53509,117187,40,0,0,75975,on,5
866359483,954303979,0.11375107200001366,111.0548675416733,53509,117187,40,0,0,21,on,5
672963211,6535929547,12.251272342000448,1706.7099762165788,53509,117187,40,0,0,350348,on,5
322879733,3143348032,126.36792082899774,6027.668864131489,53509,117187,40,0,0,3254715,on,5
6254090150,267734888,3.778053379006451,664.9926708182333,53509,117187,40,0,0,81301,on,5
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