如下所示：

# -*- coding: UTF-8 -*-import jieba.possegimport tensorflow as tfimport pandas as pdimport csvimport math"""1.必須獲取CSV文件夾（ID：文本）2.返回(ID：分词后的文本)"""flags = tf.app.flagsflags.DEFINE_string("train_file_address","D:/NLPWORD/cut_word_test/hzytest.csv","添加训练数据文件")flags.DEFINE_string("result_file_address","D:/NLPWORD/cut_word_test/hzytest_result.csv","生成结果数据文件")FLAGS = tf.app.flags.FLAGSdef cut_word(train_data): """ 把数据按照行进行遍历，然后把结果按照行写在csv中 :return:分词结果list """ jieba.load_userdict("newdict.txt") with open(FLAGS.result_file_address, "w", encoding='utf8') as csvfile: writer = csv.writer(csvfile) for row in train_data.index: datas = train_data.loc[row].values[1] if isinstance(datas,str) or not math.isnan(datas): words = jieba.posseg.cut(datas) line = '' for word in words: line = line + word.word + " " writer.writerow([train_data.loc[row].values[0], line])def main(_): data = pd.read_csv(FLAGS.train_file_address) cut_word(data)if __name__ == "__main__": tf.app.run(main)

以上这篇python处理csv中的空值方法就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持。