Python Panda AssertionError 列传递，传递的数据有 2 列
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Panda AssertionError columns passed, passed data had 2 columns
提问by Sudheej
I am working on Azure ML implementation on text analytics with NLTK, the following execution is throwing
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
Below is the code
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]
Error is throwing here
错误在这里抛出
dataframe_output = pd.DataFrame(tagged, columns=['Output'])
I suspect this to be the tagged data type passed to dataframe, can some one let me know the right approach to add this to dataframe.
我怀疑这是传递给数据框的标记数据类型，有人可以让我知道将其添加到数据框的正确方法吗？
回答by ragesz
Try this:
尝试这个：
dataframe_output = pd.DataFrame(tagged, columns=['Output', 'temp'])
