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Python+matplotlib实现折线图的美化(五)
2023-07-25 21:28:15 】 浏览:89
Tags:Python matplotlib
for, va
= 'center', ha = 'left', size = 6.5 ) # -- Add the xG conceded label ag_label_ = ax.text( x = X_.iloc[-1] + 0.75, y = Y_ag_last, s = f'{Y_ag_last:,.1f} xGA', color = color_ag, va = 'center', ha = 'left', size = 6.5 )

6.测试函数

file_id = '1yM_F93NY4QkxjlKL3GzdcCQEnBiA2ltB'
url = f'https://drive.google.com/uc?id={file_id}'
df = pd.read_csv(url, index_col=0)

 

 

 

 

 

再设置更加丰富的颜色:

 
fig = plt.figure(figsize=(5, 8), dpi = 200, facecolor = "#EFE9E6")

ax1 = plt.subplot(411, facecolor = "#EFE9E6")
ax2 = plt.subplot(412, facecolor = "#EFE9E6")
ax3 = plt.subplot(413, facecolor = "#EFE9E6")
ax4 = plt.subplot(414, facecolor = "#EFE9E6")

plot_xG_rolling("Sassuolo", ax1, color_for = "#00A752", color_ag = "black", data = df)
plot_xG_rolling("Lazio", ax2, color_for = "#87D8F7", color_ag = "#15366F", data = df)
plot_xG_rolling("Hellas Verona", ax3, color_for = "#153aab", color_ag = "#fdcf41", data = df)
plot_xG_rolling("Empoli", ax4, color_for = "#00579C", color_ag = "black", data = df)

plt.tight_layout()

 

 

 

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