Created
November 18, 2018 12:03
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Bar plot of the break down of my deep learning box
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import pandas as pd | |
import matplotlib.pylab as plt | |
import seaborn as sns | |
# In the clipboard | |
# piece,price | |
# gpu,869 | |
# ssd,140 | |
# power,113 | |
# cooling,60 | |
# cpu,317 | |
# ram,200 | |
# motherboard,200 | |
# hard_drive,93 | |
# case,110 | |
sns.set(font_scale=2) | |
deep_meaning_df = pd.read_clipboard(sep=',') | |
deep_meaning_df['fraction'] = 100 * deep_meaning_df['price'] / deep_meaning_df['price'].sum() | |
ax = deep_meaning_df.sort_values('fraction').plot(y='fraction', x='piece', kind='barh') | |
ax.set_xlabel("% of total budget") | |
ax.set_ylabel("Piece type") | |
ax.set_title("Deep meaning's budget breakdown") | |
plt.savefig('path/to/img.png') |
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