Currently I am creating dictionary by deleting rows where checker
column is false
how can I create s3_range_dict
, without deleting rows and just checking whether checker column is true, if it is then add that row's url
and name
to dictionary
df_s3_range.drop(df_s3_range[df_s3_range['checker'] == False].index, inplace=True)
s3_range_dict = pd.Series(
df_s3_range.url.values, index=df_s3_range.name).to_dict()
df_s3_range[df_s3_range['checker'] == True].set_index('name')['url'].to_dict()
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