与Pandas相处有困难吗

Question

我使用熊猫融化器有点困难。我试着用我的数据集来遵循iris的例子，但是我最终得到了一个我无法解释的数据帧。这也不是我希望得到的。你知道吗

我的数据集如下所示：

        Type         Airline  Count
0    neutral  Virgin America    171
1   positive  Virgin America    152
2   negative  Virgin America    181
3   positive          United    492
4   negative          United   2633
5    neutral          United    697
6   negative       Southwest   1186
7    neutral       Southwest    664
8   positive       Southwest    570
9   positive           Delta    544
10   neutral           Delta    723
11  negative           Delta    955
12  negative      US Airways   2263
13   neutral      US Airways    381
14  positive      US Airways    269
15  negative        American   1960
16   neutral        American    463
17  positive        American    336

但我得到的结果是：

   Type  Airline           value
0    neutral  Airline  Virgin America
1   positive  Airline  Virgin America
2   negative  Airline  Virgin America
3   positive  Airline          United
4   negative  Airline          United
5    neutral  Airline          United
6   negative  Airline       Southwest
7    neutral  Airline       Southwest
8   positive  Airline       Southwest
9   positive  Airline           Delta
10   neutral  Airline           Delta
11  negative  Airline           Delta
12  negative  Airline      US Airways
13   neutral  Airline      US Airways
14  positive  Airline      US Airways
15  negative  Airline        American
16   neutral  Airline        American
17  positive  Airline        American
18   neutral    Count             171
19  positive    Count             152
20  negative    Count             181
21  positive    Count             492
22  negative    Count            2633
23   neutral    Count             697
24  negative    Count            1186
25   neutral    Count             664
26  positive    Count             570
27  positive    Count             544
28   neutral    Count             723
29  negative    Count             955
30  negative    Count            2263
31   neutral    Count             381
32  positive    Count             269
33  negative    Count            1960
34   neutral    Count             463
35  positive    Count             336

所以当我尝试使用swarmlot时，我得到了一个错误。你知道吗

ValueError: Could not interpret input 'Count'

下面是我使用的代码

airline_data = pd.melt(airline_data, "Type", var_name="Airline")
print(airline_data)

# Draw a categorical scatterplot to show each observation
sns.swarmplot(x="Airline", y="Count", hue="Type",
              palette=["r", "c", "y"], data=airline_data)

我期望的结果是创建一个类似iris数据集的swarmlot。你知道吗