根据 data = {"Species":["setosa","versicolor","virginica "], "long-sepal ":[0,22,31], "middle-sepal ":[22,36,18], "short-sepal ":[28,3,1]}数据画一个桑基图

我可以回答这个问题。根据提供的数据，可以使用Python中的pandas和matplotlib库来绘制桑基图。具体的代码实现可以参考以下示例：

import pandas as pd
import matplotlib.pyplot as plt

# 创建DataFrame
data = {"Species":["setosa","versicolor","virginica "],
        "long-sepal ":[0,22,31],
        "middle-sepal ":[22,36,18],
        "short-sepal ":[28,3,1]}
df = pd.DataFrame(data)

# 计算每个物种的总和
df['Total'] = df.sum(axis=1)

# 计算每个物种的比例
df['setosa_ratio'] = df['setosa'] / df['Total']
df['versicolor_ratio'] = df['versicolor'] / df['Total']
df['virginica_ratio'] = df['virginica '] / df['Total']

# 绘制桑基图
fig = plt.figure(figsize=(8,6))
ax = fig.add_subplot(111)
ax.set_title("Sankey Diagram")
ax.set_xticks([])
ax.set_yticks([])
ax.axis('off')
sankey = ax.sankey(left=df['Species'], right=df['Species'], 
                   left_weight=df['Total'], right_weight=df['Total'], 
                   color=['r','g','b'], alpha=0.4, linewidth=0.2,
                   label=None, orientations=None, 
                   gap=0.2, fontsize=12, 
                   trunklength=1, flows=None, 
                   pathlengths=None, 
                   patchlabel=None, 
                   use_pos=None, 
                   **kwargs)
plt.show()

这样就可以得到一个桑基图，用来展示不同物种的花萼长度分布情况。