使用 swarmplot 生成的 beeswarm plot 中的数据点没有分散？

Question

在下面的代码中，当使用 swarmplot function 绘制 beeswarm plot 时，我观察到数据点并没有分散在数据集 2 中。但是如果我将数据集更改为数据集 1，数据点会变得非常分散出色地。 我需要即使使用数据集 2，点也应该很好地分散。 我什至尝试通过更改散点大小但没有结果。 有人可以帮助解决这个问题吗？

import matplotlib.pyplot as plt
import numpy as np
import seaborn

# Making beeswarm plot
A=np.array([0.02,0.02,0.02,0.04,0.04,0.05,0.05,0.05,0.05,0.05,0.09,0.09,0.09,0.09,0.09,0.1,0.1,0.1,0.1,0.8,0.8,0.8,0.8])  # data set 1
#A=np.array([20,20,20,20,50,50,50,35,35,35,45,45,58,58,58,58,69,69,69,63,63,63,36,63,77,78,80,80,80,80])    # data set 2
data = A

x_labels = " Depth (Microns)"
y_labels = " Diameter (Microns)"

seaborn.set(color_codes=True)
fig = plt.figure(figsize=(16, 16))
axes = fig.add_subplot(1, 1, 1, aspect=1)
 
# add title to plot
plt.title("Beeswarm Distribution Plots of Swept Droplet Diameters")
 
# plot data on swarmplot
seaborn.swarmplot(data=data, color="blue", size=8)
 
# y-axis label
axes.set(ylabel=y_labels)
axes.set(xlabel=x_labels)
axes.set_xticklabels(['200'])

plt.show()

我附上了使用数据集 1 和数据集 2 生成的蜂群图的图像 在此处输入图像描述

在此处输入图像描述

Answer 1

去掉axes的aspect=1标志，以便行读取

axes = fig.add_subplot(1, 1, 1)

或者，您可以完全避免使用子图行话，除非您打算在此图中添加更多子图。

import matplotlib.pyplot as plt
import numpy as np
import seaborn

# Making beeswarm plot
# A=np.array([0.02,0.02,0.02,0.04,0.04,0.05,0.05,0.05,0.05,0.05,0.09,0.09,0.09,0.09,0.09,0.1,0.1,0.1,0.1,0.8,0.8,0.8,0.8])  # data set 1
A=np.array([20,20,20,20,50,50,50,35,35,35,45,45,58,58,58,58,69,69,69,63,63,63,36,63,77,78,80,80,80,80])    # data set 2
data = A

x_labels = " Depth (Microns)"
y_labels = " Diameter (Microns)"

seaborn.set(color_codes=True)
fig = plt.figure(figsize=(16, 16))
 
# add title to plot
plt.title("Beeswarm Distribution Plots of Swept Droplet Diameters")
 
# plot data on swarmplot
seaborn.swarmplot(data=data, color="blue", size=8)
 
# y-axis label
plt.ylabel(y_labels)
plt.xlabel(x_labels)
plt.xticks(labels=['200'], ticks=[0])

plt.show()