Python TitleParser.compute_average_views Examples

Example #1

File: viralCaster.py Project: neuromarket/ViralCaster

def main():
    stats = youtube.grabYouTubeSample(100)
    #print len(videos)
    print len(stats)
    #print videos
    print stats
    print "FINISHED COLLECTION"
    print "STARTING PARSING"
    TitleParser.parse_videos(stats)
    print "COMPUTING AVERAGES"
    TitleParser.compute_average_views()
    print "COMPLETE"

Example #2

File: viralCaster.py Project: jjbreen/ViralCaster

def main():
    stats = youtube.grabYouTubeSample(100)
    #print len(videos)
    print len(stats)
    #print videos
    print stats
    print "FINISHED COLLECTION"
    print "STARTING PARSING"
    TitleParser.parse_videos(stats)
    print "COMPUTING AVERAGES"
    TitleParser.compute_average_views()
    print "COMPLETE"

Example #3

                row['viewCount'] = '1,000,000+'
            data.append(row)

    with open("Fixed" + readFile, 'w', encoding='utf8',
              newline='') as output_file:
        keys = data[0].keys()
        writer = csv.DictWriter(output_file, keys)
        writer.writeheader()
        writer.writerows(data)


def fixNullByte():
    readFile = 'YouTubeData5.csv'
    data = ''

    with open(readFile) as fd:
        data = fd.read()

    with open("NoNull" + readFile, 'w') as fo:
        fo.write(data.replace('\x00', ''))


#fixNullByte()
#fixViewCount()
s = grabYouTubeSample()
TitleParser.parse_videos(s)
TitleParser.compute_average_views()
TitleParser.gen_compute_average_views(TitleParser.description_dict,
                                      'DescriptionData.csv')
TitleParser.gen_compute_average_views(TitleParser.tag_dict, 'TagData.csv')

Example #4

File: youtubesearch.py Project: jjbreen/ViralCaster

                row['viewCount'] = '10,001-100,000'
            elif row['viewCount'] <= 1000000:
                row['viewCount'] = '100,001-1,000,000'
            else:
                row['viewCount'] = '1,000,000+'
            data.append(row)

    with open("Fixed"+readFile,'w',encoding='utf8',newline='') as output_file:
        keys = data[0].keys()
        writer = csv.DictWriter(output_file, keys)
        writer.writeheader()
        writer.writerows(data)

def fixNullByte():
    readFile = 'YouTubeData5.csv'
    data = ''

    with open(readFile) as fd:
        data = fd.read()

    with open("NoNull"+readFile, 'w') as fo:
        fo.write(data.replace('\x00', ''))

#fixNullByte()
#fixViewCount()
s = grabYouTubeSample()
TitleParser.parse_videos(s)
TitleParser.compute_average_views()
TitleParser.gen_compute_average_views(TitleParser.description_dict, 'DescriptionData.csv')
TitleParser.gen_compute_average_views(TitleParser.tag_dict, 'TagData.csv')