Python 如何将长url列表从CSV推送到Redis

我已经连接到redis r=redis.redis（host='100.0.0.1'，port=6379，db=3）

有人能对此发表评论吗？ 这就是我在尝试将数据推送到Redis时遇到的错误，我不知道如何将这个长URL转换为存储在Redis中

类型为“NoneType”的输入无效。首先转换为字节、字符串、int或float

示例数据集如下所示：（1是键，URL是值）

一,，https://d2i6pukzef2l69.cloudfront.net/nrm/images/STTM_VE;MEAS_CD_SEM/1P3FM/RUN01/1P3FM_STTM_VE_MEAS_CD_SEM{S9_STTM_TEST_2_S9_STTM_TEST_M1}DX14DY10SDX7SDY23_2020-10-20_02-24-06.JPG 2.https://d2i6pukzef2l69.cloudfront.net/nrm/images/STTM_VE;MEAS_CD_SEM/1P3FM/RUN01/1P3FM_STTM_veu_CD_SEM{S9_STTM_TEST_2_S9_STTM_TEST_M1}DX16DY5SDX10SDY33_2020-10-20_02-24-06.JPG 3.https://d2i6pukzef2l69.cloudfront.net/nrm/images/STTM_VE;MEAS_CD_SEM/1P3FM/RUN01/1P3FM_STTM_veu_CD_SEM{S9_STTM_TEST_2_S9_STTM_TEST_M1}DX16DY5SDX7SDY23_2020-10-20_02-24-06.JPG 4.https://d2i6pukzef2l69.cloudfront.net/nrm/images/STTM_VE;MEAS_CD_SEM/1P3FM/RUN01/1P3FM_STTM_veu MEAS_CD_SEM{S9_STTM_TEST_2_S9_STTM_TEST_M1}DX4DY6SDX10SDY33_2020-10-20-02-24-06.JPG 5.https://d2i6pukzef2l69.cloudfront.net/nrm/images/STTM_VE;MEAS_CD_SEM/1P3FM/RUN01/1P3FM_STTM_veu_CD_SEM{S9_STTM_TEST_2_S9_STTM_TEST_M1}DX4DY6SDX7SDY23_2020-10-20_02-24-06.JPG 6.https://d2i6pukzef2l69.cloudfront.net/nrm/images/STTM_VE;MEAS_CD_SEM/1P3FM/RUN01/1P3FM_STTM_veu_CD_SEM{S9_STTM_TEST_2_S9_STTM_TEST_M1}DX5DY9SDX10SDY33_2020-10-20_02-24-06.JPG 7.https://d2i6pukzef2l69.cloudfront.net/nrm/images/STTM_VE;MEAS_CD_SEM/1P3FM/RUN01/1P3FM_STTM_veu_CD_SEM{S9_STTM_TEST_2_S9_STTM_TEST_M1}DX5DY9SDX7SDY23_2020-10-20_02-24-06.JPG 8.https://d2i6pukzef2l69.cloudfront.net/nrm/images/STTM_VE;MEAS_CD_SEM/1P3FM/RUN01/1P3FM_STTM_veu MEAS_CD_SEM{S9_STTM_TEST_3_S9_STTM_TEST_M1}DX11DY14SDX11SDY14_2020-10-2002-24-06.JPG 9,https://d2i6pukzef2l69.cloudfront.net/nrm/images/STTM_VE;MEAS_CD_SEM/1P3FM/RUN01/1P3FM_STTM_veu_CD_SEM{S9_STTM_TEST_3_S9_STTM_TEST_M1}DX11DY14SDX6SDY35_2020-10-20-02-24-06.JPG

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10,https://d2i6pukzef2l69.cloudfront.net/nrm/images/STTM_VE;MEAS_CD_SEM/1P3FM/RUN01/1P3FM_STTM_veu_CD_SEM{S9_STTM_TEST_3_S9_STTM_TEST_M1}DX15DY8SDX11SDY14_2020-10-20-02-24-06。JPG

错误告诉您的csv中有什么

None

。在您给出的示例中，它似乎没有一致地分开（外层由

'\n'

分隔，内层由

'分隔，'

分隔）。

    try:
        with open(filepath) as f:
            data = pd.read_csv(f,names=['id','url'])
            for id, url in enumerate(data['url']):
                r.lpush(id,url)
            print('Data loaded into redis successfully')
    except Exception as e:
        print(e)