小编Jos*_* Ho的帖子

我有以下数据：

import pandas as pd
import numpy as np

# Generate dummy data.
a = np.random.random(75)
b = np.random.random(75) - 0.6
c = np.random.random(75) + 0.75 

# Collate into a DataFrame
df = pd.DataFrame({'a': a, 'b': b, 'c': c}) 
df.columns = [list(['WT', 'MUT', 'WTxMUT']), list(['Parent', 'Parent', 'Offspring'])]
df.columns.names = ['Genotype', 'Status']
df_melt = pd.melt(df) 

我使用以下代码在seaborn中绘制它：

import seaborn as sb
sb.swarmplot(data = df_melt, x = "Status", y = "value", hue = "Genotype")

如何获得每个组的 x 跨度？例如，父组的群图水平跨度范围是多少？

我有一个元组和一个元组元组.

import numpy as np
a = ("Control", "Group1")
b = (("Control", "Group1"), ("Control", "Group1", "Group2))

我怎么能说这a与根本不同b？都

print(len(a))
print(np.shape(a))
print(len(np.shape(a)))

和

print(len(b))
print(np.shape(b))
print(len(np.shape(b)))

产生相同的输出:

2
(2,)
1

再次感谢!