python pandas - 根据另一列的内容将列中的值更改为Boolean

Question

我有一个像这样的dafatframe：

    A      B   
0  NaN   string1
1  NaN   string2
2  Nan   string1
3  Nan   string1

如何根据B列中同一索引处的条目是否包含某个字符串“stringX”，更改A列中的所有值，使它们是布尔值？

Answer 1

我认为您需要指定布尔掩码，而==可以使用eq或使用assign：

#if need True False values by condition
stringX = "string1"
df['A'] = df['B'] == stringX
print (df)
       A        B
0   True  string1
1  False  string2
2   True  string1
3   True  string1

df['A'] = df['B'].eq(stringX)
print (df)
       A        B
0   True  string1
1  False  string2
2   True  string1
3   True  string1

df = df.assign(A=df['B'].eq(stringX))
print (df)
       A        B
0   True  string1
1  False  string2
2   True  string1
3   True  string1

#if need values of column by condition
df.loc[df['B'] == 'string1', 'A'] = df['B'] 
print (df)
         A        B
0  string1  string1
1      NaN  string2
2  string1  string1
3  string1  string1

#if need scalar by condition
df.loc[df['B'] == 'string1', 'A'] = 1
print (df)
     A        B
0    1  string1
1  NaN  string2
2    1  string1
3    1  string1

#if need if else condition with 2 scalars
df['A'] = np.where(df['B'] == 'string1', 1, 2)
print (df)
   A        B
0  1  string1
1  2  string2
2  1  string1
3  1  string1