I have an example dataframe as given below:
df =
index Value Name
2019-01-01 07:53:53 10 S_1.M_01
2019-01-01 08:33:52 20 S_1.M_02
2019-01-01 09:13:52 30 S_1.M_03
2019-01-01 09:53:52 40 S_1.M_01
2019-01-01 10:33:52 50 S_1.M_02
2019-01-01 11:13:53 60 S_1.M_03
... ... ...
2019-09-08 15:38:52 100 8157_S2
Now I want to extract to those columns with name Name
and create outputs. How to extract those rows with same names?
My code:
df_grp = iv_df['element'].unique
This did not yield any result.
I want to achieve something like this below different outputs
Output1:
index Value Name
2019-01-01 07:53:53 10 S_1.M_01
2019-01-01 09:53:52 40 S_1.M_01
Output2:
index Value Name
2019-01-01 08:33:52 20 S_1.M_02
2019-01-01 10:33:52 50 S_1.M_02
Output3:
index Value Name
2019-01-01 09:13:52 30 S_1.M_03
2019-01-01 11:13:53 60 S_1.M_03
How to achieve this?
I think there may be code missing from your question, or it isn't clear or I am not fully understanding it. But you can try something like this, where you are iterating through the unique values and creating new dfs.
dfs = []
for val in df.Name.unique():
dfs.append(df.loc[df.Name == val, :])
This will give you a list, dfs, populated with smaller dfs that are just excerpts of your larger df.
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