Let PyGMT accept a 1d array when 2d array is needed #1132
Description
The issue was first found in #1070 (comment).
Below is a simple example plotting a circular vector. The data parameter expects a 2D array/list. Each row is a record, and the 5 columns are [x_start, y_start, radius, degree_start, degree_stop].
The following script works as expected because the variable data is a 2D array/list:
import numpy as np
import pygmt
fig = pygmt.Figure()
fig.plot(
region=[-10, 10, -10, 10],
projection="X10c",
frame="ag",
data=[[0, 0, 2.5, 90, 270], [0, 0, 1.5, 90, 270]],
style="m0.5c+ea",
pen="2p",
color="red3",
)
fig.show()When users want to plot a single circular vector, they still have to pass a 2D list, so the code looks like:
data=[[0, 0, 2.5, 90, 270]]
However, most people may first try a 1D array and then realize it doesn't work as expected.
data=[0, 0, 2.5, 90, 270]
As I understand it, data always expects a 2D array/list. When a 1D array is given, can we convert it to a 2D array? Are there any negative effects?