Python 如何根据包含条件筛选出数据帧行?
我有下面的数据框Python 如何根据包含条件筛选出数据帧行?,python,pandas,dataframe,Python,Pandas,Dataframe,我有下面的数据框 df = pd.DataFrame({'vals': [1, 2, 3, 4, 5], 'ids': ['News: Latest', 'News', 'Cricket', 'Football', 'Football Match: India']}) print(df) vals ids 0 1 News: Latest 1 2 News 2 3
df = pd.DataFrame({'vals': [1, 2, 3, 4, 5], 'ids': ['News: Latest', 'News', 'Cricket', 'Football', 'Football Match: India']})
print(df)
vals ids
0 1 News: Latest
1 2 News
2 3 Cricket
3 4 Football
4 5 Football Match: India
我有一个输入数组,我想通过它检查df并过滤掉相应的数据
valueToFilter = ["News", "India"]
我想要的输出
vals ids
0 1 News: Latest
1 2 News
2 5 Football Match: India
有谁能指导我如何做到这一点吗?你可以试试这个-
>>> import pandas as pd
>>> df = pd.DataFrame({'vals': [1, 2, 3, 4, 5], 'ids': ['News: Latest', 'News', 'Cricket', 'Football', 'Football Match: India']})
>>> valueToFilter = ["News", "India"]
>>> filter_mask = df['ids'].str.contains('|'.join(valueToFilter))
>>>
>>> df.loc[filter_mask]
vals ids
0 1 News: Latest
1 2 News
4 5 Football Match: India
这将有助于: