我有这样的情节：

Question

基本上应该像这样（但没有倒置的Yaxis ...）

这里是一些示例代码生成数据和图...

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

#dummy data
relative_amount_bad_scores = np.random.rand(1000)
aggregated_score = np.random.choice(
    np.arange(1, 11), 1000, p=[0.05, 0.05, 0.1, 0.1, 0.15, 0.15, 0.15, 0.1, 0.1, 0.05]
)
df_dummy = pd.DataFrame({
    "relative_amount_of_bad_scores": relative_amount_bad_scores,
    "aggregated_score": aggregated_score
})


# Plot
palette = sns.color_palette("RdYlGn", as_cmap=True)
fig, ax = plt.subplots(figsize=(15, 15))
sns.histplot(
    data=df_dummy.sort_values('aggregated_score', ascending = True),
    x="relative_amount_of_bad_scores",
    hue="aggregated_score",
    multiple="fill",
    ax=ax,
    binwidth=0.1,
    palette = palette
)

即将添加

[::-1]

以逆转颜色顺序。

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

# Dummy data
relative_amount_bad_scores = np.random.rand(1000)
aggregated_score = np.random.choice(
    np.arange(1, 11), 1000, p=[0.05, 0.05, 0.1, 0.1, 0.15, 0.15, 0.15, 0.1, 0.1, 0.05]
)
df_dummy = pd.DataFrame({
    "relative_amount_of_bad_scores": relative_amount_bad_scores,
    "aggregated_score": aggregated_score
})


palette = sns.color_palette("RdYlGn", n_colors=10)[::-1]  

fig, ax = plt.subplots(figsize=(15, 15))
sns.histplot(
    data=df_dummy.sort_values('aggregated_score', ascending=True),
    x="relative_amount_of_bad_scores",
    hue="aggregated_score",
    multiple="fill",
    ax=ax,
    binwidth=0.1,
    palette=palette
)
plt.show()  

Answer 1