从csv加载str.get_dummies() panda df的问题

import pandas as pd

# 加载CSV文件
df = pd.read_csv('your_file.csv', dtype=str)

# 转换为独热编码
df_encoded = df.str.get_dummies()

import pandas as pd

# 加载CSV文件
df = pd.read_csv('your_file.csv', dtype=str)

# 处理缺失值
df.fillna('', inplace=True)

# 转换为独热编码
df_encoded = df.str.get_dummies()

import pandas as pd

# 加载CSV文件
df = pd.read_csv('your_file.csv', dtype=str)

# 选择特定列进行独热编码
selected_columns = ['column1', 'column2']
df_selected = df[selected_columns]

# 转换为独热编码
df_encoded = df_selected.str.get_dummies()

import pandas as pd

# 加载CSV文件
df = pd.read_csv('your_file.csv', dtype=str)

# 处理缺失值
df.fillna('', inplace=True)

# 选择特定列进行独热编码
selected_columns = ['column1', 'column2']
df_selected = df[selected_columns]

# 转换为独热编码
df_encoded = df_selected.str.get_dummies()

print(df_encoded)