WebJul 22, 2016 · You re-bound the name csv in the as target: with open ('test_csv.csv') as csv: This masks the module name, so csv.reader is resolved on the file object. Use a different target: with open ('test_csv.csv') as csvfile: read = csv.reader (csvfile, delimiter = ',') for row in read: print (row) Share Follow answered Jul 22, 2016 at 9:52 WebAttributeError: 'DataFrame' object has no attribute 'to_CSV' [closed] Ask Question Asked 2 years, 2 months ago. Modified 2 years, 2 months ago. Viewed 12k times 0 Closed. This question is not reproducible or was caused by typos. It is not currently accepting answers. This question was caused by a typo or a problem that can no longer be ...
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WebOct 6, 2024 · So I have been attempting to create a file to convert json files to csv files using a template i found online. However, I keep receiving the following error: header = User.keys() AttributeError: 'str' object has no attribute 'keys' Here is the code I'm using: WebMar 15, 2024 · AttributeError: 'DatasetDict' object has no attribute 'features' Environment info. Copy-and-paste the text below in your GitHub issue. datasets version: 1.18.4; … intel 4 motherboard
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WebAug 20, 2024 · As I mentioned in the comment to the original post, you have to return either a dict or an array or DataFrame from print_sentiment_scores() function.. I suggest the following change to create a DataFrame and return from print_sentiment_scores() function:. def print_sentiment_scores(alist): df = pd.DataFrame(); for aSentence in alist: aSnt = … WebJun 5, 2024 · I resolved a similar issue while creating a DatasetDict loading data directly from a csv file. As the documentation states, it's just necessary to load the file like this: … WebNov 27, 2024 · The problem is your data object is a list of the DataFrames. You can either convert the DataFrames individually, e.g. df.to_csv (...) or merge them together and output as one file. Try changing this part: data = [] for df in path1: df = pd.read_excel (df) data.append (df) data.to_csv ("H:\\test1.csv", index = False) To this: intel 4k graphics