Seaborn X轴分类数据

Question

我有一个海本情节，我想有35个等距类别。我的问题是，类别是不是均匀分布的数字。注意，它们的数据类型设置为“类别”

Categories = [8.01, 8.02, 8.03, 8.04, 8.05, 8.11, 8.12, 8.13, 8.14, 8.15, 8.16, 9.01, 9.02, 9.03, 9.04, 9.05, 9.06, 9.1, 9.11, 9.12, 9.13, 9.14, 9.15, 10.01, 10.02, 10.03, 10.04, 10.05, 10.06, 10.11, 10.12, 10.13, 10.14, 10.15, 10.16]

如果我尝试设置我的xticks=Categories，我会让它们像这样聚集起来：

这是我的代码，我尝试将类别中的值转换为字符串，但这似乎并不能解决我的问题。欢迎提出任何建议

fig, ax = plt.subplots(figsize = (16,8))
ax.set_title("Avg Kills Comparions Per Patch")
ax.set_ylabel("Avg Kills")
ax.set_xlabel("Patch")
ax.set_xticks(Categories)

p1 = sns.lineplot(ax=ax, x='patch', y='avg_kills', data=stat_data, hue='player')

我基本上想在这里扩展数据集群，但我还没有弄清楚如何做到这一点

编辑：以下是一些示例数据：

patch,player,avg_kills
8.01,Solo,0.5000
8.02,Solo,1.5000
8.03,Solo,2.7500
8.04,Solo,0.5000
8.05,Solo,1.4375
8.11,Solo,1.0000
8.12,Solo,2.5000
8.13,Solo,1.7500
8.14,Solo,1.7500
8.15,Solo,2.5000
9.01,Solo,2.5000
9.02,Solo,2.5000
9.03,Solo,1.7500
9.04,Solo,1.0000
9.05,Solo,3.5000
9.06,Solo,2.7500
9.1,Solo,3.0000
9.11,Solo,3.2500
9.12,Solo,1.0000
9.13,Solo,1.5000
9.14,Solo,1.5000
10.05,Solo,2.0000
10.06,Solo,2.2632
10.11,Solo,3.0000
10.12,Solo,2.0000
10.13,Solo,1.7500
10.14,Solo,1.7500
10.15,Solo,3.7500
10.16,Solo,3.2000
8.01,TopLaneAvg,2.4500
8.02,TopLaneAvg,1.9500
8.03,TopLaneAvg,1.8500
8.04,TopLaneAvg,1.7250
8.05,TopLaneAvg,1.7703
8.11,TopLaneAvg,2.1111
8.12,TopLaneAvg,3.0750
8.13,TopLaneAvg,2.5750
8.14,TopLaneAvg,2.1250
8.15,TopLaneAvg,1.8958
8.16,TopLaneAvg,1.9400
9.01,TopLaneAvg,2.3500
9.02,TopLaneAvg,2.2250
9.03,TopLaneAvg,2.0250
9.04,TopLaneAvg,1.7250
9.05,TopLaneAvg,2.0238
9.06,TopLaneAvg,3.0455
9.1,TopLaneAvg,2.9000
9.11,TopLaneAvg,2.3750
9.12,TopLaneAvg,2.4250
9.13,TopLaneAvg,2.3750
9.14,TopLaneAvg,2.5435
9.15,TopLaneAvg,2.6000
10.01,TopLaneAvg,2.2000
10.02,TopLaneAvg,2.1750
10.03,TopLaneAvg,1.8250
10.04,TopLaneAvg,1.7750
10.05,TopLaneAvg,2.4000
10.06,TopLaneAvg,2.3667
10.11,TopLaneAvg,1.5000
10.12,TopLaneAvg,2.1500
10.13,TopLaneAvg,2.4750
10.14,TopLaneAvg,1.9500
10.15,TopLaneAvg,2.5238
10.16,TopLaneAvg,2.3571
'''

Answer 1

• 即使将patch设置为categorical时，绘图API仍将值解释为数字，因此将其转换为str类型

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

# given your dataframe as df

# sort values by patch
df.sort_values('patch', inplace=True, ascending=True)

# convert to string
df.patch = df.patch.astype(str)

# set as Categorical and Categories as strings
df.patch = pd.Categorical(df.patch, categories=map(str, Categories), ordered=True)

# plot
fig, ax = plt.subplots(figsize = (16,8))
p1 = sns.lineplot(ax=ax, x='patch', y='avg_kills', data=df, hue='player')