我有一个像这样的数据框:
import pandas as pd
frame={'location': {(2, 'eng', 'US'): {"['sc']": 3, "['delhi']": 2, "['sonepat', 'delhi']": 1, "['new delhi']": 1}}}
df=pd.DataFrame(frame)
df.head()
输出
location
2 eng US {"['sc']": 3, "['delhi']": 2, "['sonepat', 'delhi']": 1, "['new delhi']": 1}
我想将 df['location'] 列内的类型更改为不列出,例如:
location
2 eng US {'sc': 3, 'delhi': 2, 'sonepat', 'delhi': 1, 'new delhi': 1}
最佳答案
你可以试试这个:
import pandas as pd
df = pd.DataFrame(
{
"location": {
(2, "eng", "US"): {
"['sc']": 3,
"['delhi']": 2,
"['sonepat', 'delhi']": 1,
"['new delhi']": 1,
}
}
}
)
df["location"] = df["location"].apply(
lambda x: str(x).replace("['", "").replace("']", "")
)
print(df)
#Outputs
location
2 eng US {"sc": 3, "delhi": 2, "sonepat', 'delhi": 1, "...
关于python - 如何将包含列表的字典转换为列的不同类型的字典,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/69746285/