Python training camp D10-data analysis actual combat-Pokémon data analysis

aims

• Download 801 Pokémon data, and select 10 Pokémon suitable for cultivation through the analysis of 41 attributes

Dependent environment

• python3
• pandas
• matplotlib
• seaborn

Data set download

!wget -O pokemon_data.csv https://pai-public-data.oss-cn-beijing.aliyuncs.com/pokemon/pokemon.csv

Import Data

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

df = pd.read_csv("./pokemon_data.csv")

data analysis

df.head()

df.info()

# 计算出每个特征有多少百分比是缺失的
percent_missing = df.isnull().sum() * 100 / len(df)
missing_value_df = pd.DataFrame({
    'column_name': df.columns,
    'percent_missing': percent_missing
})

# 查看丢失数据的top10属性
missing_value_df.sort_values(by='percent_missing', ascending=False).head(10)