pandas 替换一系列熊猫中的值
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Replace values in a series pandas
提问by grim_reaper
How come when i want to replace a value I have to use this block of code:
为什么当我想替换一个值时，我必须使用这段代码：
data['Organization'].str.replace('Greece','Rome')
why cant I use this:
为什么我不能使用这个：
data['Organization'].replace('Greece','Rome').
I've seen others use method two before without passing a string method. My question is can i pass a series method using replace function and what is the line of code?
我之前见过其他人使用方法二而没有传递字符串方法。我的问题是我可以使用替换函数传递一个系列方法吗？代码行是什么？
回答by jpp
pd.Series.replaceis different to pd.Series.str.replace:
pd.Series.replace不同于pd.Series.str.replace：
pd.Series.replaceis used to replace an element in its entirety. It will work also on non-string elements.pd.Series.str.replaceis used to replace substrings, optionally using regex.
pd.Series.replace用于替换整个元素。它也适用于非字符串元素。pd.Series.str.replace用于替换子字符串，可选择使用正则表达式。
Here's a minimal example demonstrating the difference:
这是一个演示差异的最小示例：
df = pd.DataFrame({'A': ['foo', 'fuz', np.nan]})
df['B'] = df['A'].replace(['foo', 'fuz'], ['food', 'fuzzy'])
df['C'] = df['A'].str.replace('f.', 'ba', regex=True)
print(df)
A B C
0 foo food bao
1 fuz fuzzy baz
2 NaN NaN NaN
回答by cs95
str.replaceby default does a regex based replacement which also works with partial matches. replace, OTOH, will only perform replacements based on full matches by default unless the regexflag is set to true.
str.replace默认情况下，基于正则表达式的替换也适用于部分匹配。replace, OTOH，默认情况下只会根据完全匹配执行替换，除非该regex标志设置为 true。
data['Organization'] = (
data['Organization'].replace({'Greece': 'Rome'}, regex=True))
