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DataFrame.replace(to_replace=None, value=None, inplace=False, limit=None, regex=False, method='pad')

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import pandas as pd

data = {'A': [1, 2, 3], 'B': [4, 5, 6]}

df = pd.DataFrame(data)

# 替换值

df.replace(1, 10, inplace=True)

print(df)

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import pandas as pd

data = {'A': [1, 2, 3], 'B': [4, 5, 6]}

df = pd.DataFrame(data)

# 使用字典替换值

df.replace({'A': 1, 'B': 4}, 100, inplace=True)

print(df)

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import pandas as pd

data = {'A': [1, 2, 3], 'B': [4, 5, 6]}

df = pd.DataFrame(data)

# 使用列表替换值

df.replace([1, 4], [100, 400], inplace=True)

print(df)

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import pandas as pd

data = {'A': ['foo', 'bar', 'baz'], 'B': ['fuz', 'buz', 'faz']}

df = pd.DataFrame(data)

# 使用正则表达式替换值

df.replace(to_replace=r'^b', value='new', regex=True, inplace=True)

print(df)