如何检查数据框单元格是否包含值，然后根据条件填充字段

Question

我有一个数据框列，其值如下：

   Column_1(String are present in a cell with space in between)
ABC DEF EFG HIJ  
ZCG VHT UIO QAR
ABC KLM MNO STU
DEF KLM ABD EFG

我需要根据条件填充值：

if Column_1 includes ABC and not KLM then 1
if Column_1 includes KLM and not ABC then 2
if Column_1 includes both ABC and KLM then 3
if Column_1 does not include both ABC and KLM then 4

SO Column_1 变为：

  Column_1
    1
    4
    3
    2

Answer 1

尝试：

mapper = {
    (True, False): 1,
    (False, True): 2,
    (True, True): 3,
    (False, False): 4,
}
df["Value"] = df["Column_1"].apply(lambda x: mapper[("ABC" in x, "KLM" in x)])
print(df)

打印：

          Column_1  Value
0  ABC DEF EFG HIJ      1
1  ZCG VHT UIO QAR      4
2  ABC KLM MNO STU      3
3  DEF KLM ABD EFG      2

如何检查数据框单元格是否包含值，然后根据条件填充字段

How check if a dataframe cell includes the values and then populate field based on condition

python

dataframe

pandas

data-science

data-wrangling