when grouping in the first step, I want to take only the top 10 of each group for mean and sun operations
when grouping in the first step, I want to take only the top 10 of each group for mean and sun operations
http_df.sort_values(['dst_ip', 'req_hdr_l'], ascending=[1, 0], inplace=True)
tmp_df = http_df[['dst_ip', 'req_hdr_l']].groupby(['dst_ip']).head(20).groupby(['dst_ip'])['req_hdr_l'].agg(['mean', 'sum']).reset_index()
tmp_df.columns = ['dst_ip', 'req_hdr_l_stats_[av/dst]', 'req hdr_l_stats[sum/dst]']
http_df = pd.merge(tmp_df, http_df, how='right', on='dst_ip')
dict1 = { "system.cpu.user.pct": { "value": 12.83 }, "system.load.1": { "value": 0.33 } } dict2 = { "system": { "...
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