CODEWITHSUNDEEP
pythonmatplotlib
Marcelo João
Marcelo João

Reputation: 61

Matplotlib - plot problem - Graph configuratuion

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()

Jupyter plot

Upvotes: 1

Views: 35

Answers (1)

MarcusRenshaw
MarcusRenshaw

Reputation: 186

Use width = 0.1 for bar width:

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

Upvotes: 2

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