Question

我正在使用NLTK进行文本分析的Azure ML实现，以下执行正在抛出

AssertionError: 1 columns passed, passed data had 2 columns\r\nProcess returned with non-zero exit code 1

以下是代码

# The script MUST include the following function,
# which is the entry point for this module:
# Param<dataframe1>: a pandas.DataFrame
# Param<dataframe2>: a pandas.DataFrame
def azureml_main(dataframe1 = None, dataframe2 = None):
    # import required packages
    import pandas as pd
    import nltk
    import numpy as np
    # tokenize the review text and store the word corpus
    word_dict = {}
    token_list = []
    nltk.download(info_or_id='punkt', download_dir='C:/users/client/nltk_data')
    nltk.download(info_or_id='maxent_treebank_pos_tagger', download_dir='C:/users/client/nltk_data')
    for text in dataframe1["tweet_text"]:
        tokens = nltk.word_tokenize(text.decode('utf8'))
        tagged = nltk.pos_tag(tokens)


      # convert feature vector to dataframe object
    dataframe_output = pd.DataFrame(tagged, columns=['Output'])
    return [dataframe_output]

错误就是扔在这里

 dataframe_output = pd.DataFrame(tagged, columns=['Output'])

我怀疑这是传递给数据帧的标记数据类型，有人可以告诉我将其添加到数据帧的正确方法。

Answer 1

试试这个：

dataframe_output = pd.DataFrame(tagged, columns=['Output', 'temp'])

Panda AssertionError列传递，传递的数据有2列

1 个答案: