4

私のCSVには、個人、死亡日、死亡地域に関する情報が含まれています。また、geopy を使用してこの領域を特定しています。この部分は機能していると思いますが、実際には個人を知りたくありませんが、1 日あたりのインシデントごとおよびエリアごとの合計ボディカウントが必要です。そのため、死亡者数、地理位置情報、日付、および発生した地域/州に関する情報を含む CSV が得られます。これが私の CSV のスニペットです。

rowid,Name,Status,Sex,Province,Area,Date_of_Death,Cause_of_Death
1,Hasan Ali Saad al-Hareeri ,Civilian,Adult - Male,Daraa,Sawara,2015-12-10,Warplane shelling
2,Riham Adnan Swais ,Civilian,Adult - Female,Homs,Telbeiseh,2015-12-10,Shelling
3,Ammar Ahmad al-Njoam ,Civilian,Adult - Male,Aleppo,Jarablus,2015-12-10,Explosion
4,Yaseen Slaiman al-Salkhadi ,Civilian,Adult - Male,Daraa,Jassim,2015-12-10,Warplane shelling
5,Ayman Noman Qanatra ,Civilian,Adult - Male,Daraa,Jassim,2015-12-10,Warplane shelling
6,Abdul Kareem Mohammad al-Tamki ,Civilian,Adult - Male,Daraa,Sheikh Miskeen,2015-12-10,Warplane shelling
7,Ahmad Mohammad al-Tamki ,Civilian,Child - Male,Daraa,Sheikh Miskeen,2015-12-10,Warplane shelling
8,Hamze Mohammad al-Tamki ,Civilian,Adult - Male,Daraa,Sheikh Miskeen,2015-12-10,Warplane shelling
12,Ahmad Ibraheem al-Sayed Omar ,Civilian,Adult - Male,Aleppo,,2015-12-10,Warplane shelling
13,Unidentified ,Civilian,Child - Male,Aleppo,Kafrnaya,2015-12-10,Warplane shelling
14,Unidentified 1 ,Civilian,Adult - Female,Aleppo,Bazzaa,2015-12-10,Warplane shelling
15,Unidentified 2 ,Civilian,Child - Male,Aleppo,Bazzaa,2015-12-10,Warplane shelling
16,Unidentified 3 ,Civilian,Child - Male,Aleppo,Bazzaa,2015-12-10,Warplane shelling
17,Mohammad Ahmad al-Farhoud ,Civilian,Adult - Male,Idlib,Telminis,2015-12-10,Shooting
23,wife of Faisal al-Ahmad al-Khaleefe ,Civilian,Adult - Female,Deir Ezzor,Qourieh,2015-12-10,Warplane shelling
24,Unidentified ,Civilian,Adult - Male,Deir Ezzor,Takaya,2015-12-10,Kidnapping - Execution
25,Unidentified 1 ,Civilian,Adult - Male,Deir Ezzor,Tabya Jazera village,2015-12-10,Kidnapping - Execution
26,Unidentified 2 ,Civilian,Adult - Male,Deir Ezzor,Tabya Jazera village,2015-12-10,Kidnapping - Execution
27,Unidentified 3 ,Civilian,Adult - Male,Deir Ezzor,Tabya Jazera village,2015-12-10,Kidnapping - Execution
28,Unidentified 4 ,Civilian,Adult - Male,Deir Ezzor,Tabya Jazera village,2015-12-10,Kidnapping - Execution
29,Unidentified 5 ,Civilian,Adult - Male,Deir Ezzor,Tabya Jazera village,2015-12-10,Kidnapping - Execution
32,Amoun Murad ,Civilian,Adult - Female,Idlib,Jisr Shagour: Mraand,2015-12-09,Warplane shelling
33,Kafa Mezweq ,Civilian,Adult - Female,Idlib,Jisr Shagour: Mraand,2015-12-09,Warplane shelling
34,Hala Mohammad ,Civilian,Adult - Female,Idlib,Jisr Shagour: Mraand,2015-12-09,Warplane shelling
35,Ahmad Mezweq ,Civilian,Child - Male,Idlib,Jisr Shagour: Mraand,2015-12-09,Warplane shelling
36,Ahlam Mezweq ,Civilian,Child - Female,Idlib,Jisr Shagour: Mraand,2015-12-09,Warplane shelling
37,Adnan Hussain Haj Kheder ,Civilian,Child - Male,Idlib,Jisr Shagour: Mraand,2015-12-09,Warplane shelling
38,Wife of Hussain Haj Kheder ,Civilian,Adult - Female,Idlib,Jisr Shagour: Mraand,2015-12-09,Warplane shelling
39,daughter of Hussain Haj Kheder 1 ,Civilian,Child - Female,Idlib,Jisr Shagour: Mraand,2015-12-09,Warplane shelling
40,Muhammad Muhammad al-Aoutani ,Civilian,Adult - Male,Damascus Suburbs,Hamouria,2015-12-09,Warplane shelling
41,Ibrahim al-Shami ,Civilian,Adult - Male,Damascus Suburbs,Hamouria,2015-12-09,Warplane shelling

これが私のコードです

import csv
from geopy.geocoders import GoogleV3

geolocator = GoogleV3() #here some parameters are needed
lookups = {}
valueCounter = 0
init= True


with open('151213_Martyrs_filtered_civilian_2015_with_country.csv', 'rb') as csvinput:
    with open('151213_output_martyrs_final.csv', 'w') as csvoutput:
        output_fieldnames = ['Value','Country','Province','Area','Date_of_Death','Cause_of_Death','Latitude','Longitude']
        writer = csv.DictWriter(csvoutput, delimiter=',', fieldnames=output_fieldnames)
        reader = csv.DictReader(csvinput)
        for row in reader:
            if init == True :
                prevProvince = row['Province']
                prevArea = row['Area']
                prevDate = row['Date_of_Death']
                prevCause = row['Cause_of_Death']
                init = False
            if prevArea == row['Area'] and prevCause == row['Cause_of_Death'] and prevDate['Date_of_Death']:
                valueCounter +=1

                if row['Province'].split(' ', 1) == 'Damascus':
                    rowProv = "Damascus"
                else:
                    rowProv = row['Province']
                #here you have to replace the dict item by your csv column names
                query = ','.join(str(x) for x in (rowProv, row['Area']))

                try:
                    address, (latitude, longitude) = lookups[query]
                except KeyError: # new lookup
                    try:
                        query = ','.join(str(x) for x in (rowProv, rowProv))
                        address, (latitude, longitude) = lookups[query]
                        # print('lookup')
                    except KeyError: # search
                        try:
                            query = ','.join(str(x) for x in (rowProv, row['Area']))
                            address, (latitude, longitude) = geolocator.geocode(query)
                        except: # error
                            query = ','.join(str(x) for x in (rowProv, rowProv))
                            address, (latitude, longitude) = geolocator.geocode(query)
                        lookups[query] = address, (latitude, longitude)
                        print(query)

            else: #write down and save previous Row data
                output_row = {}
                output_row['Value'] = valueCounter
                output_row['Province'] = prevProvince
                output_row['Area'] = prevArea
                output_row['Date_of_Death'] = prevDate
                output_row['Cause_of_Death'] = prevCause
                output_row['Latitude'] = latitude
                output_row['Longitude'] = longitude
                writer.writerow(output_row)

                prevProvince = row['Province']
                prevArea = row['Area']
                prevDate = row['Date_of_Death']
                prevCause = row['Cause_of_Death']
                valueCounter = 1


                if row['Province'].split(' ', 1) == 'Damascus':
                    rowProv = "Damascus"
                else:
                    rowProv = row['Province']
                #here you have to replace the dict item by your csv column names
                query = ','.join(str(x) for x in (rowProv, row['Area']))

                try:
                    address, (latitude, longitude) = lookups[query]
                except KeyError: # new lookup
                    try:
                        query = ','.join(str(x) for x in (rowProv, rowProv))
                        address, (latitude, longitude) = lookups[query]
                        # print('lookup')
                    except KeyError: # search
                        try:
                            query = ','.join(str(x) for x in (rowProv, row['Area']))
                            address, (latitude, longitude) = geolocator.geocode(query)
                        except: # error
                            query = ','.join(str(x) for x in (rowProv, rowProv))
                            address, (latitude, longitude) = geolocator.geocode(query)
                        lookups[query] = address, (latitude, longitude)
                        print(query)

機能していないために何が表示されないのですか?

ターミナルにこのメッセージが表示されます

    Test_stackoverflow_cached Ian$ python geopy_script_bodycount.py
Traceback (most recent call last):
  File "geopy_script_bodycount.py", line 22, in <module>
    if prevArea == row['Area'] and prevCause == row['Cause_of_Death'] and prevDate['Date_of_Death']:
TypeError: string indices must be integers, not str
4

2 に答える 2

3

その行で何をしようとしているのかわかりませんが、問題はトレースで言及されているものにあります。

if prevArea == row['Area'] and prevCause == row['Cause_of_Death'] and prevDate['Date_of_Death']:

これは文字列であり、変数prevDateのような辞書ではありません。row他の句のように、おそらく何かを比較したいと思うでしょう。

于 2015-12-20T19:04:21.920 に答える
3

この種のpandas作業は、Python のデータ処理および分析ライブラリである を使用すると、はるかに簡単になります。

これは良い紹介です: http://youtube.com/watch?v=otCriSKVV_8

そして、これで問題を開始できます。

import pandas as pd

data = pd.read_csv(
    'data.csv',
    index_col='rowid',
    parse_dates=['Date_of_Death'],
)

# How many died at each day?
print('Deaths by date')
print(data.groupby('Date_of_Death').size())

# How many per area:
print('\nDeaths by Area')
print(data.groupby('Area').size())

# Or both:
print('\nPer date and Area')
print(data.groupby(['Date_of_Death', 'Area']).size())
于 2015-12-20T23:28:47.993 に答える