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diff --git a/sources/pyside2/doc/tutorials/datavisualize/read_data.rst b/sources/pyside2/doc/tutorials/datavisualize/read_data.rst deleted file mode 100644 index f7bf9337a..000000000 --- a/sources/pyside2/doc/tutorials/datavisualize/read_data.rst +++ /dev/null @@ -1,41 +0,0 @@ -Chapter 1 - Reading data from a CSV -=================================== - -There are several ways to read data from a CSV file. The following are the most -common ways: - -- Native reading -- the `CSV module <https://docs.python.org/3/library/csv.html>`_ -- the `numpy module <https://www.numpy.org>`_ -- the `pandas module <https://pandas.pydata.org/>`_ - -In this chapter, you will learn to use pandas to read and filter CSV data. -In addition, you could pass the data file through a command-line option to your -script. - -The following python script, :code:`main.py`, demonstrates how to do it: - -.. literalinclude:: datavisualize1/main.py - :language: python - :linenos: - :lines: 40- - -The Python script uses the :code:`argparse` module to accept and parse input -from the command line. It then uses the input, which in this case is the filename, -to read and print data to the prompt. - -Try running the script in the following way to check if you get desired output: - -:: - - $python datavisualize1/main.py -f all_hour.csv - time latitude longitude depth ... magNst status locationSource magSource - 0 2019-01-10T12:11:24.810Z 34.128166 -117.775497 4.46 ... 6.0 automatic ci ci - 1 2019-01-10T12:04:26.320Z 19.443333 -155.615997 0.72 ... 6.0 automatic hv hv - 2 2019-01-10T11:57:48.980Z 33.322500 -116.393167 4.84 ... 11.0 automatic ci ci - 3 2019-01-10T11:52:09.490Z 38.835667 -122.836670 1.28 ... 7.0 automatic nc nc - 4 2019-01-10T11:25:44.854Z 65.108200 -149.370100 20.60 ... NaN automatic ak ak - 5 2019-01-10T11:25:23.786Z 69.151800 -144.497700 10.40 ... NaN reviewed ak ak - 6 2019-01-10T11:16:11.761Z 61.331800 -150.070800 20.10 ... NaN automatic ak ak - - [7 rows x 22 columns] |