I guess you’re missing the ENCLOSED BY clause LOAD DATA LOCAL INFILE ‘/path/to/your/csv/file/model.csv’ INTO TABLE test.dummy FIELDS TERMINATED BY ‘,’ ENCLOSED BY ‘”‘ LINES TERMINATED BY ‘\n’; And specify the csv file full path Load Data Infile – MySQL documentation
Index is an object, and default index starts from 0: >>> result.index Int64Index([0, 1, 2], dtype=int64) You can shift this index by 1 with >>> result.index += 1 >>> result.index Int64Index([1, 2, 3], dtype=int64)
Your “bad” output is UTF-8 displayed as CP1252. On Windows, many editors assume the default ANSI encoding (CP1252 on US Windows) instead of UTF-8 if there is no byte order mark (BOM) character at the start of the file. While a BOM is meaningless to the UTF-8 encoding, its UTF-8-encoded presence serves as a signature … Read more
Unless you read the input file into memory in full, up front, you cannot safely read from and write back to the same file in a given pipeline. Specifically, a command such as Import-Csv file.csv | … | Export-Csv file.csv will erase the content of file.csv.[1] The simplest solution is to enclose the command that … Read more
To expand on Marc’s answer, I need to create a text file called Schema.ini and put it in the same directory as the CSV file. As well as column types, this file can specify the file format, date time format, regional settings, and the column names if they’re not included in the file. To make … Read more
Dump after processing whole rows. import csv import json with open(‘test.csv’) as f: reader = csv.DictReader(f) rows = list(reader) with open(‘test.json’, ‘w’) as f: json.dump(rows, f)
Try this and see if it works. This is independent of the path you provide. pd.read_csv(r’C:\Users\aiLab\Desktop\example.csv’) Here r is a special character and means raw string. So prefix it to your string literal. https://www.journaldev.com/23598/python-raw-string: Python raw string is created by prefixing a string literal with ‘r’ or ‘R’. Python raw string treats backslash () as … Read more
Print X_train shape. What do you see? I’d bet X_train is 2d (matrix with a single column), while y_train 1d (vector). In turn you get different sizes. I think using X_train[:,0] for plotting (which is from where the error originates) should solve the problem
You should use the csv module: import csv reader = csv.reader([‘1997,Ford,E350,”Super, luxurious truck”‘], skipinitialspace=True) for r in reader: print r output: [‘1997’, ‘Ford’, ‘E350’, ‘Super, luxurious truck’]
The below shows four different ways of returning the data stored in a .csv file/Pandas DataFrame (for solutions without using Pandas DataFrame, have a look here). Related answers on how to efficiently return a large dataframe can be found here and here as well. Option 1 The first option is to convert the file data … Read more