Pandas reverse lookup memo

I will put together things that I will use again later (Note: Please note that there is nothing new about the content of the personal memo article)

Introduction

Data set preparation

import pandas as pd
from sklearn import datasets
iris = datasets.load_iris()
columns = list(map(lambda x: ' '.join(x.split(' ')[:2]), iris.feature_names))
df = pd.DataFrame(iris.data, columns=columns)
df['target'] = iris.target_names[iris.target]
df.head()

スクリーンショット 2019-12-28 16.17.56.png

View the number of data per label

Overview

df.groupby('target').size().to_frame.plot.barh()

Execution result: スクリーンショット 2019-12-28 16.21.17.png

Commentary

See a color-coded scatter plot for each label

Overview

for key, indices in df.groupby('target').groups.items():
    x = df.loc[indices]['sepal length']
    y = df.loc[indices]['petal length']
    plt.scatter(x, y, label=key, alpha=0.4)
plt.legend()
plt.show()

Execution result: スクリーンショット 2019-12-28 17.30.48.png

Commentary

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