[英]Convert dictionary values into a dataframe
This could be answered somewhere but I can't seem to work any of the solutions with what I have...这可以在某处得到回答,但我似乎无法使用我拥有的任何解决方案...
I have a following dictionary data_dict:我有以下字典 data_dict:
data_dict:
{'df_0':
Name Role Location
0 Gina Assistance NY
1 Jake Officer Brooklyn
2 Boyle Detective 99
3 Scully Assistance NY
4 Diaz Officer Brooklyn
'df_1':
Name Role Location
5 Hitchcock Detective 99
6 Amy Assistance NY
7 Terry Officer Brooklyn
'df_2':
Name Role Location
7 Terry Officer Brooklyn
8 Holt Detective 99
9 Judy Assistance NY
10 Adrian Officer Brooklyn
}
In the dictionary above df_0, df_1, df_2 are the keys for data_dict and each of the keys is a dataframe that contains columns Name, Role, Location在df_0上面的字典中,df_1、df_2是data_dict的键,每个键都是一个包含名称、角色、位置列的数据框
The output I am seeking is a master_df that combines values from data_dict keys and outputs the following results:我正在寻找的输出是一个master_df ,它结合了 data_dict 键的值并输出以下结果:
master_df:
Name Role Location
0 Gina Assistance NY
1 Jake Officer Brooklyn
2 Boyle Detective 99
3 Scully Assistance NY
4 Diaz Officer Brooklyn
5 Hitchcock Detective 99
6 Amy Assistance NY
7 Terry Officer Brooklyn
8 Holt Detective 99
9 Judy Assistance NY
10 Adrian Officer Brooklyn
Any help / guidance is appreciated!!任何帮助/指导表示赞赏!
You an concat
and then drop_duplicates()
:你一个concat
然后drop_duplicates()
:
master_df = pd.concat([df_0, df_1, df_2]).drop_duplicates()
EDIT: Reading more closely... you are doing this from a dictionary... so try dejdej's answer.编辑:更仔细地阅读......你是从字典中做这件事......所以试试dejdej的答案。 You may have to drop duplicates, but I didn't test.您可能必须删除重复项,但我没有测试。
Thanks all!谢谢大家!
For my purpose I found this solution to output what I needed:为了我的目的,我找到了这个解决方案来输出我需要的东西:
output = pd.DataFrame()
for k in data_dict:
output = output.append(data_dict[k], ignore_index=True)
Thank you everyone for your time and suggestions!感谢大家的时间和建议!
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