Allow pandas.DataFrame table and 1D/2D numpy array inputs into pygmt.info

[weiji14]

Description of proposed changes

Let pygmt.info support pandas.DataFrame and 1D/2D numpy array inputs. Enables code like so:

import pandas as pd

df: pd.DataFrame = pygmt.datasets.load_ocean_ridge_points()
region = pygmt.info(table=df, spacing="0.1")  # pygmt.info("@ridge.txt", I="0.1")
print(region)
# '-R-180/180/-65.7/86.8\n',

I've renamed the 'fname' argument to 'table' (which is a 💥 breaking change) since info supports both file name inputs and pandas.DataFrame tables now.

Fixes #564

Reminders

• Run make format and make check to make sure the code follows the style guide.
• Add tests for new features or tests that would have caught the bug that you're fixing.
• Add new public functions/methods/classes to doc/api/index.rst.
• Write detailed docstrings for all functions/methods.
• If adding new functionality, add an example to docstrings or tutorials.

[weiji14]

Just FYI, this line converts pandas.DataFrame into a numpy.ndarray, while allowing numpy.ndarray objects to just pass through. A bit easier than using _table = table.values if hasattr(table, values) else table, and I think this allows for Python lists to work too (though I haven't tested it).

See also:

• https://stackoverflow.com/questions/14415741/what-is-the-difference-between-numpys-array-and-asarray-functions
• https://stackoverflow.com/questions/13187778/convert-pandas-dataframe-to-numpy-array

[seisman]

Looks good