Matplotlib - plot problem - Graph configuratuion

Question

I'm having trouble making my graphic more attractive for a publication, I'm not a programmer, but I found an easy way to make the graphic below. The bars are too thick and I'm not able to put the label on the left side. Also, the legend of the bars are superimposed, could someone help me?

from matplotlib.ticker import PercentFormatter

df = pd.DataFrame({'country': [40.91, 23.68, 21.53, 55.77, 47.50,
62.59]}) 
df.index = ['Linha de Produção – 1', 'Linha de Produção – 2', 'Linha de Produção – 3', 'Linha de Produção – 4', 'Linha de Produção – 5', 'Linha de Produção – 6'] 
df = df.sort_values(by='country',ascending=False) df["cumpercentage"] = 
df["country"].cumsum()/df["country"].sum()*100

fig, ax = plt.subplots() 
ax.bar(df.index, df["country"], color="C0") 
ax2 = ax.twinx() 
ax2.plot(df.index, df["cumpercentage"], color="C1", marker="D", ms=7) 
ax2.yaxis.set_major_formatter(PercentFormatter())

plt.ylabel('NOME DO EIXO Y') 
plt.grid(True)

ax.tick_params(axis="y", colors="C0")    
ax2.tick_params(axis="y", colors="C1")
plt.show()

Thanks. Now I have to figure out how to change the Y-axis label.. — Marcelo João
– Marcelo João, Commented Apr 17, 2020 at 17:15

MarcusRenshaw · Accepted Answer · 2020-04-17 17:12:58Z

2

Use width = 0.1 for bar width:

ax.bar(df.index, df["country"], color="C0", width = 0.1)

answered Apr 17, 2020 at 17:12

MarcusRenshaw

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