如何将 Append 列到字典中的 Dataframe

Question

`dict = {k:v for k,v in df.groupby(['Year','Month','Day'])} this is my first dictionary. dataframe_sample dict I'm working on a data task. I'm producing some anomaly scores and I'm assigning these scores to empty dictionaries. Also I have more than one dataframe in another dictionary. I want to append the new column that I've produced as a result of anomaly detection and I want to append this column to each dataframe in my dictionary. Is there any way to do this? Thanks. belows are mine empty dictionaries

result_anomaly_clustering={}
result_hbos_scoring={}
result_mad_based_outlier={}

for key in list(df_dict):
result_anomaly_clustering[key]=anomaly_clustering(2,df_dict[key])
result_hbos_scoring[key]=hbos_scoring (0.05,5,df_dict[key])
result_mad_based_outlier[key]=mad_based_outlier(3.5,df_dict[key])

Above code is my anomaly algorithm functions that I'm calling

Answer 1

I found that the main problem is because of indexing in the functions. When I fixed the indexing in the functions, the problem was solved. Thanks for your help.

Answer 2

# sample dictionary with anomaly scores
anomalies = {1: 2, 2:8}

# sample dictionary with dataframes
data_frames = {1: pd.DataFrame(data={'a': [4,4]}), 2:pd.DataFrame(data={'b':[6,6,7]})}

# iterate over key, value pairs of the dictionary of dataframes 
# and create column score taken from anomalies dict by key 
# with key matching anomalies dict key.
for k,v in data_frames.items():
    v['score'] = anomalies[k]