python - Pandas 仅显示给定 id 的数据框中值的唯一实例

Question

这是我正在使用的数据框。

df = pd.DataFrame({'id' : ['45', '45', '45', '45', '46', '46'],
                  'description' : ['credit score too low', 'credit score too low', 'credit score too low', 'high risk of fraud', 'address not verified', 'address not verified']})
print(df)

我正在尝试修改数据框，以便对于给定的 ID，没有重复的描述。下面的数据框是所需的输出。

newdf = pd.DataFrame({'id' : ['45', '45', '46'],
                  'description' : ['credit score too low', 'high risk of fraud', 'address not verified']})
print(newdf)

Answer 1

您可以使用 .drop_duplicates() [pandas-doc] 删除重复项。例如:

>>> df
   id           description
0  45  credit score too low
1  45  credit score too low
2  45  credit score too low
3  45    high risk of fraud
4  46  address not verified
5  46  address not verified
>>> df.drop_duplicates()
   id           description
0  45  credit score too low
3  45    high risk of fraud
4  46  address not verified

因此，您可以将 df 设置为新的数据帧，例如:

df = df<b>.drop_duplicates()</b>