英文:
Pandas Data Frame - logical or of all columns
问题
| A | B | C | OR |
|---|---|---|---|
| True | True | False | True |
| False | True | False | True |
| False | False | False | False |
英文:
I have a dynamically created data frame which contains, multiple columns with True/False values. Let's say that it looks like this:
| A | B | C |
|---|---|---|
| True | True | False |
| False | True | False |
| False | False | False |
I need to create a column which values will be a result of logical or on the rest of the columns.
The output would look like this:
| A | B | C | OR |
|---|---|---|---|
| True | True | False | True |
| False | True | False | True |
| False | False | False | False |
答案1
得分: 1
使用 DataFrame.any：
df['OR'] = df.any(axis=1)
如果需要仅筛选某些列：
cols = ['A', 'B']
df['OR'] = df[cols].any(axis=1)
英文:
Use DataFrame.any:
df['OR'] = df.any(axis=1)
If need filter only some columns:
cols = ['A','B']
df['OR'] = df[cols].any(axis=1)
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