lore/Tesi-Magistrale
1
0
Fork 0
mirror of https://github.com/Lore09/Tesi-Magistrale.git synced 2025-12-19 04:14:35 +00:00
Code Issues Packages Projects Releases Wiki Activity

added bar graph

Browse Source
This commit is contained in:
Lorenzo Venerandi
2025-03-03 20:08:11 +01:00
parent 52e085e918
commit 179998f8e5
1 changed files with 25 additions and 7 deletions
Download Patch File Download Diff File Expand all files Collapse all files

32
plot_metrics.py
View File

@@ -15,7 +15,7 @@ def read_metrics(file_path):
file_path = 'project/metrics.yaml' # Replace with your file path
runs = read_metrics(file_path)
#Flatten data into a list of dictionaries
# Flatten data into a list of dictionaries
data = []
for run in runs:
if 'build' in run:
@@ -23,7 +23,7 @@ for run in runs:
if 'code_gen' in run:
data.append({'Task': run['n_task'], 'Type': 'Generation Time', 'Time': float(run['code_gen']['gen_time'])})
if 'deploy' in run:
data.append({'Task': run['n_task'], 'Type': 'Deployment Time', 'Time': float(run['deploy']['components_deploy_time'])})
@@ -43,9 +43,9 @@ def plot_boxplot(metric, filename, color):
medians = subset.groupby('Task')['Time'].median()
for i, task in enumerate(medians.index):
median_value = medians[task]
plt.text(i, median_value, f'{median_value:.3f}', ha='center', va='center', fontsize=10, color='white',
plt.text(i, median_value, f'{median_value:.3f}', ha='center', va='center', fontsize=10, color='white',
bbox=dict(facecolor='black', alpha=0.6, boxstyle='round,pad=0.3'))
plt.ylabel('Time (seconds)')
plt.grid(True, linestyle='--', alpha=0.7)
plt.tight_layout()
@@ -58,13 +58,11 @@ def plot_lineplot(metric, filename, color):
plt.figure(figsize=(10, 6))
sns.lineplot(x='Task', y='Time', data=subset, errorbar=('ci', 95), color=color, linewidth=2, marker='o')
# Fill missing x-axis values
min_task = subset['Task'].min()
max_task = subset['Task'].max()
all_tasks = np.arange(min_task, max_task + 1)
plt.xticks(all_tasks)
# Label points
for i, row in subset.groupby('Task')['Time'].median().reset_index().iterrows():
plt.text(row['Task'], row['Time'], f'{row["Time"]:.3f}', ha='center', va='bottom', fontsize=10)
@@ -75,14 +73,34 @@ def plot_lineplot(metric, filename, color):
plt.savefig(f'benchmark/{filename}')
plt.close()
# Function to plot bar plot with confidence intervals
def plot_barplot(metric, filename, color):
subset = df[df['Type'] == metric]
plt.figure(figsize=(10, 6))
sns.barplot(x='Task', y='Time', data=subset, color=color, errorbar=('ci', 95))
means = subset.groupby('Task')['Time'].mean()
for i, task in enumerate(means.index):
mean_value = means[task]
plt.text(i, 0, f'{mean_value:.3f}', ha='center', va='bottom', fontsize=10, alpha=0.7)
plt.ylabel('Time (seconds)')
plt.grid(True, linestyle='--', alpha=0.7)
plt.tight_layout()
plt.savefig(f'benchmark/{filename}')
plt.close()
# Plot each metric separately
plot_boxplot('Build Time', 'build_time_boxplot.png', 'skyblue')
plot_lineplot('Build Time', 'build_time_lineplot.png', 'skyblue')
plot_barplot('Build Time', 'build_time_barplot.png', 'skyblue')
plot_boxplot('Generation Time', 'gen_time_boxplot.png', 'lightgreen')
plot_lineplot('Generation Time', 'gen_time_lineplot.png', 'lightgreen')
plot_barplot('Generation Time', 'gen_time_barplot.png', 'lightgreen')
plot_boxplot('Deployment Time', 'deploy_time_boxplot.png', 'salmon')
plot_lineplot('Deployment Time', 'deploy_time_lineplot.png', 'salmon')
plot_barplot('Deployment Time', 'deploy_time_barplot.png', 'salmon')
print('Plots saved successfully in "benchmark" directory!')
print('Plots saved successfully in "benchmark" directory!')