I have a dataframe df which looks like this
| min | max | value |
|---|---|---|
| 3 | 9 | 7 |
| 3 | 4 | 10 |
| 4 | 4 | 4 |
| 4 | 10 | 3 |
I want to create a new column df['accuracy'] which tells me the accuracy if the df['value'] is in between df['min'] and df['max'] such that the new dataframe looks like
| min | max | value | Accuracy |
|---|---|---|---|
| 3 | 9 | 7 | Accurate |
| 3 | 4 | 10 | Not Accurate |
| 4 | 4 | 4 | Accurate |
| 4 | 10 | 3 | Not Accurate |
CodePudding user response：
Use apply() method of pandas, refer link
def accurate(row):
if row['value'] >= row['min'] and row['value'] <= row['max']:
return 'Accurate'
return 'Not Accurate'
df['Accuracy'] = df.apply(lambda row: accurate(row), axis=1)
print(df)