Panda AssertionError 列通过，传递的数据有 2 列答案

【问题标题】：Panda AssertionError columns passed, passed data had 2 columnsPanda AssertionError 列通过，传递的数据有 2 列
【发布时间】：2016-08-12 22:23:17
【问题描述】：

我正在使用 NLTK 进行文本分析的 Azure ML 实施，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

下面是代码

# 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]

这里抛出错误

 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吗？

【问题讨论】：

标签： python pandas dataframe nltk azure-machine-learning-studio

【解决方案1】：

试试这个：

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

【讨论】：