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Get pandas.read_csv to read empty values as empty string instead of nan
I'm using the pandas library to read in some CSV data. In my data, certain columns contain strings. The string "nan" is a possible value, as is an empty string. I managed to get pandas to read "nan" as a string, but I can't figure out how to get it not to read an empty value as NaN. Here's sam...
How to output MySQL query results in CSV format?
...o run a MySQL query from the Linux command line and output the results in CSV format?
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Reading CSV files using C#
I'm writing a simple import application and need to read a CSV file, show result in a DataGrid and show corrupted lines of the CSV file in another grid. For example, show the lines that are shorter than 5 values in another grid. I'm trying to do that like this:
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Skip rows during csv import pandas
I'm trying to import a .csv file using pandas.read_csv() , however I don't want to import the 2nd row of the data file (the row with index = 1 for 0-indexing).
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Can you use reflection to find the name of the currently executing method?
...swered Sep 4 '08 at 16:52
Lars MæhlumLars Mæhlum
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Does Spring @Transactional attribute work on a private method?
...ered Dec 9 '10 at 9:00
Juha SyrjäläJuha Syrjälä
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datetime dtypes in pandas read_csv
I'm reading in a csv file with multiple datetime columns. I'd need to set the data types upon reading in the file, but datetimes appear to be a problem. For instance:
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converting CSV/XLS to JSON? [closed]
...y for me and does NOT require a file upload:
https://github.com/cparker15/csv-to-json?files=1
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How can I read and parse CSV files in C++?
I need to load and use CSV file data in C++. At this point it can really just be a comma-delimited parser (ie don't worry about escaping new lines and commas). The main need is a line-by-line parser that will return a vector for the next line each time the method is called.
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How to read a large file - line by line?
... to use an open source tool like H2O to do super high performance parallel CSV file reads, but this tool is limited in feature set. I end up writing a lot of code to create data science pipelines before feeding to H2O cluster for the supervised learning proper.
I have been reading files like 8GB HI...