Here is how I bar-plot from a group:

import numpy as np
import matplotlib.pyplot as plt

metrics = ['accuracy', 'precision', 'recall','f1_score', 'roc_auc_score']
x_values = np.arange(len(metrics))
width = 0.15

RF = [0.62, 0.59, 0.62, 0.57, 0.78]
SMOTE = [0.63, 0.62, 0.63, 0.60, 0.79]
AdaBoost = [0.27, 0.42, 0.27, 0.28, 0.58]
SMOTEBoost = [0.54, 0.60, 0.54, 0.57, 0.68]
decoc = [0.63, 0.61, 0.63, 0.58, 0.69]

plt.bar(x_values-0.2, RF, width=width, label='RF')
plt.bar(x_values, SMOTE, width=width, label='SMOTE')
plt.bar(x_values 0.2, AdaBoost, width=width, label='AdaBoost')
plt.bar(x_values 0.4, SMOTEBoost, width=width, label='SMOTEBoost')
plt.bar(x_values 0.6, decoc, width=width, label='DECOC')
plt.xticks(x_values, metrics)

plt.legend(loc='best')

plt.ylim(0.0, 1.2)

plt.title('Performance Evaluation')
plt.xlabel('Performance Metrics')
plt.show()

Figure:

But I need a space between each group ('accuracy', 'precision', 'recall','f1_score', 'roc_auc_score') to make it better. As it is, groups are mixed with almost no space separating.

CodePudding user response：

Any reason to do multiple bar plots instead of one and pass the hue variable?

import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt
plt.rcParams["figure.figsize"] = (16,8)

RF = [0.62, 0.59, 0.62, 0.57, 0.78]
SMOTE = [0.63, 0.62, 0.63, 0.60, 0.79]
AdaBoost = [0.27, 0.42, 0.27, 0.28, 0.58]
SMOTEBoost = [0.54, 0.60, 0.54, 0.57, 0.68]
decoc = [0.63, 0.61, 0.63, 0.58, 0.69]
metrics = ['accuracy', 'precision', 'recall','f1_score', 'roc_auc_score']

df = pd.DataFrame({"metrics":metrics,"RF":RF, "SMOTE":SMOTE,"AdaBoost":AdaBoost,"SMOTEBoost":SMOTEBoost,"decoc":decoc})
df = pd.melt(df, id_vars="metrics")

sns.barplot(data=df, x="metrics", y="value", hue="variable")
plt.legend(loc='best')

plt.ylim(0.0, 1.2)

plt.title('Performance Evaluation')
plt.xlabel('Performance Metrics')
plt.show()

CodePudding user response：

Increase the spacing between the x-values:

x_values = np.arange(0, len(metrics)*2, 2)