Untitled

From Colorant Leopard, 4 Months ago, written in Plain Text, viewed 101 times.
URL http://codebin.org/view/d9c45d94 Embed
Download Paste or View Raw
  1. import pandas as pd
  2.  
  3. data = pd.read_csv('/datasets/visits.csv', sep='\t')
  4.  
  5. # фильтруем слишком быстрые и медленные заезды и АЗС
  6. data['too_fast'] = data['time_spent'] < 60
  7. data['too_slow'] = data['time_spent'] > 1000
  8. too_fast_stat = data.pivot_table(index='id', values='too_fast')
  9. good_ids = too_fast_stat.query('too_fast < 0.5')
  10. good_data = data.query('id in @good_ids.index')
  11. good_data = good_data.query('60 <= time_spent <= 1000')
  12.  
  13. # считаем данные по отдельным АЗС и по сетям
  14. station_stat = data.pivot_table(index='id', values='time_spent', aggfunc='median')
  15. good_stations_stat = good_data.pivot_table(index='id', values='time_spent', aggfunc='median')
  16. stat = data.pivot_table(index='name', values='time_spent')
  17. good_stat = good_data.pivot_table(index='name', values='time_spent', aggfunc='median')
  18. stat['good_time_spent'] = good_stat['time_spent']
  19.  
  20. id_name = good_data.pivot_table(index='id', values='name', aggfunc=['first', 'count'])
  21. id_name.columns = ['name', 'count']
  22. station_stat_full = id_name.join(good_stations_stat)
  23.  
  24.  
  25. station_stat_multi = good_data.pivot_table(index=['id'], values=['time_spent', 'too_fast', 'too_slow'], aggfunc=['mean'])
  26.  
  27. print(station_stat_multi.head())

Replies to Untitled rss

Title Name Language When
Re: Untitled Emerald Crane text 4 Months ago.

Reply to "Untitled"

Here you can reply to the paste above