python发散型条形图代码

以下是使用Python绘制发散型条形图的代码示例：

# 导入所需的库
import pandas as pd
import matplotlib.pyplot as plt

# 准备数据
df = pd.read_csv("https://github.com/selva86/datasets/raw/master/mtcars.csv")
x = df.loc\[:, \['mpg'\]\]
df\['mpg_z'\] = (x - x.mean()) / x.std()
df\['colors'\] = \['red' if x < 0 else 'green' for x in df\['mpg_z'\]\]
df.sort_values('mpg_z', inplace=True)
df.reset_index(inplace=True)

# 绘制图形
plt.figure(figsize=(14, 10), dpi=80)
plt.hlines(y=df.index, xmin=0, xmax=df.mpg_z, color=df.colors, alpha=0.4, linewidth=5)

# 图形装饰
plt.gca().set(ylabel='$Model$', xlabel='$Mileage$')
plt.yticks(df.index, df.cars, fontsize=12)
plt.title('Diverging Bars of Car Mileage', fontdict={'size': 20})
plt.grid(linestyle='--', alpha=0.5)
plt.show()

这段代码使用了matplotlib库来绘制发散型条形图。首先，我们导入所需的库，然后准备数据。数据来自于mtcars数据集，我们计算了每个汽车型号的mpg_z值，并根据mpg_z的正负值给条形图上色。然后，我们按照mpg_z的大小对数据进行排序，并重置索引。最后，我们使用plt.hlines函数绘制发散型条形图，并进行图形装饰，包括添加标签、标题和网格线。最终，使用plt.show()函数显示图形。
#### 引用[.reference_title]
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