Comparación Rendimiento Cython vs. Python

import numpy as np import pandas as pd import matplotlib.pyplot as plt import plotly.express as px

df_10000 = pd.read_csv('/work/sort_10000.csv') df_10000.head()

plt.figure(figsize=(7,7)) plt.plot(df_10000.time_python_bubble,'D-') plt.plot(df_10000.time_cython_bubble,'X-') plt.plot(df_10000.time_python_selection,'D-') plt.plot(df_10000.time_cython_selection,'X-') plt.legend(['python_bubble','cython_bubble','python_selection','cython_selection']) plt.ylabel('Tiempo segundos') plt.xlabel('Numero datos')

median_df_10000 = pd.DataFrame(df_10000.apply(lambda x: x.median()), columns=['median_time']) median_df_10000

fig = px.bar(median_df_10000, x=median_df_10000.median_time, color=median_df_10000.index.values,title='Promedio Tiempo', text_auto=True) fig.show()

print(f'SELECTION SORT: Cython es {median_df_10000.median_time[0]/median_df_10000.median_time[1]} veces mas rapido que Python') print(f'BUBBLE SORT: Cython es {median_df_10000.median_time[2]/median_df_10000.median_time[3]} veces mas rapido que Python')

df_20000 = pd.read_csv('/work/sort_30000.csv') df_20000.head()

plt.figure(figsize=(7,7)) plt.plot(df_20000.time_python_bubble,'D-') plt.plot(df_20000.time_cython_bubble,'X-') plt.plot(df_20000.time_python_selection,'D-') plt.plot(df_20000.time_cython_selection,'X-') plt.legend(['python_bubble','cython_bubble','python_selection','cython_selection']) plt.ylabel('Tiempo segundos') plt.xlabel('Numero datos')

median_df_20000 = pd.DataFrame(df_20000.apply(lambda x: x.median()), columns=['median_time']) median_df_20000

fig = px.bar(median_df_20000, x=median_df_20000.median_time, color=median_df_20000.index.values,title='Promedio Tiempo', text_auto=True) fig.show()

print(f'SELECTION SORT: Cython es {median_df_20000.median_time[0]/median_df_20000.median_time[1]} veces mas rapido que Python') print(f'BUBBLE SORT: Cython es {median_df_20000.median_time[2]/median_df_20000.median_time[3]} veces mas rapido que Python')

df_30000 = pd.read_csv('/work/sort_30000.csv') df_30000.head()

plt.figure(figsize=(7,7)) plt.plot(df_30000.time_python_bubble,'D-') plt.plot(df_30000.time_cython_bubble,'X-') plt.plot(df_30000.time_python_selection,'D-') plt.plot(df_30000.time_cython_selection,'X-') plt.legend(['python_bubble','cython_bubble','python_selection','cython_selection']) plt.ylabel('Tiempo segundos') plt.xlabel('Numero datos')

median_df_30000 = pd.DataFrame(df_30000.apply(lambda x: x.median()), columns=['median_time']) median_df_30000

fig = px.bar(median_df_30000, x=median_df_30000.median_time, color=median_df_30000.index.values,title='Promedio Tiempo', text_auto=True) fig.show()

print(f'SELECTION SORT: Cython es {median_df_30000.median_time[0]/median_df_30000.median_time[1]} veces mas rapido que Python') print(f'BUBBLE SORT: Cython es {median_df_30000.median_time[2]/median_df_30000.median_time[3]} veces mas rapido que Python')