Python show_graph_bar Beispiele

Beispiel #1

from collect import crawler as cr
from analysis import analizer as an
from visualize import visualizer as vi
import simplejson

pagename = "TheHeraldBusiness"
from_date = "2018-04-01"
to_date = "2018-05-29"

if __name__ == "__main__":

    #수집
    postList = cr.fb_get_post_list(pagename, from_date, to_date)
    print(postList)

    #분석
    dataString = an.json_to_str(
        "/Users/WOOSEUNGMI/Desktop/2018/javaStudy/facebook/TheHeraldBusiness.json",
        "message_str")  # 파일경로+경로명, key값(dic의)
    count_data = an.count_wordfreq(dataString)
    print(count_data)  #어떤 단어를 몇번 이용했는지 출력
    #리스트를 딕셔너리 형태로 변경
    dictWord = dict(count_data.most_common(20))  #단어 상위 몇개만 지정

    #그래프
    vi.show_graph_bar(dictWord, pagename)  #폰트네임알아내기

    # 워드크라우드
    vi.wordcloud(dictWord, pagename)

Beispiel #2

Datei: __main__.py Projekt: norankoj/bigdata-test02

from collect import crawler
from analysis import analizer
from visualize import visualizer

pagename = "chosun"
from_date = "2018-05-22"
to_date = "2018-05-24"

if __name__ == "__main__":
    # #수집
    # postList = crawler.fb_get_post_list(pagename,from_date,to_date)
    # print(postList)

    #분석
    dataString = analizer.json_to_str("D:/JavaStudy/imformation/chosun.json",
                                      "message_str")
    count_data = analizer.count_wordfreq(dataString)
    print(count_data)
    dictword = dict(count_data.most_common(20))

    # 그래프
    visualizer.show_graph_bar(dictword, pagename)

    # 워드클라우드
    visualizer.wordcloud(dictword, pagename)

Beispiel #3

Datei: __main__.py Projekt: acacia0216/bigdata-test2

from visualize import visualizer

pagename = "chosun"
from_date = "2017-01-01"
to_date = "2018-05-23"
path = "D:/javaStudy/"
f_ex = ".json"
filename = path + pagename + f_ex

if __name__ == "__main__":
    # 수집
    # postList = crawler.fb_get_post_list(pagename, from_date, to_date)
    # print(postList)

    # 분석
    dataString = analizer.json_to_str(filename, "message_str")
    count_data = analizer.count_wordfreq(dataString)

    # with open("d:/javaStudy/analysis_" + f_name + ".json", 'w', encoding='utf-8') as outfile:
    #     json_string = json.dumps(count_data, indent=4, sort_keys=True, ensure_ascii=False)
    #     outfile.write(json_string)

    print("카운트데이터 : ", count_data)

    dictWord1 = dict(count_data.most_common(20))
    dictWord2 = dict(count_data.most_common(50))

    # 그래프
    visualizer.show_graph_bar(dictWord1, pagename)
    visualizer.wordcloud(dictWord2, pagename)