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diff --git a/sources/pyside6/doc/tutorials/datavisualize/read_data.rst b/sources/pyside6/doc/tutorials/datavisualize/read_data.rst new file mode 100644 index 000000000..f7bf9337a --- /dev/null +++ b/sources/pyside6/doc/tutorials/datavisualize/read_data.rst @@ -0,0 +1,41 @@ +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] |