By using ax.axhline
& ax.axvline
I can plot the grid network shows like this:
http://i4.tietuku.com/e90652c9a56b5e61.png
the code are reproduced here:
lon_grid = np.linspace(113.5,115.49,36)
lat_grid = np.linspace(37.40,38.78,30)
lon_grid,lat_grid = np.linspace(xc1,xc2,36), np.linspace(yc1,yc2,30)
for i in range(0,len(lon_grid),1):
ax.axvline(x=lon_grid[i], linestyle='-', color='black', linewidth=0.75, zorder=3)
for i in range(0,len(lat_grid),1):
ax.axhline(y=lat_grid[i], linestyle='-', color='black', linewidth=0.75, zorder=3)
Here is my question
Can I use pcolor/pcolrmesh to just draw the outline of the grid
I would use ax.grid
for this instead. To control the positions of the grid lines you could set the positions of the ticks, e.g.:
fig, ax = plt.subplots(1, 1)
ax.grid(True, which='minor', axis='both', linestyle='-', color='k')
ax.set_xticks(lon_grid, minor=True)
ax.set_yticks(lat_grid, minor=True)
ax.set_xlim(lon_grid[0], lon_grid[-1])
ax.set_ylim(lat_grid[0], lat_grid[-1])
If you really want to use ax.pcolor
or ax.pcolormesh
instead, you could set the facecolor
parameter to 'none'
and the edgecolor
parameter to 'k'
:
fig, ax = plt.subplots(1, 1)
x, y = np.meshgrid(lon_grid, lat_grid)
c = np.ones_like(x)
ax.pcolor(x, y, c, facecolor='none', edgecolor='k')
ax.set_xlim(lon_grid[0], lon_grid[-1])
ax.set_ylim(lat_grid[0], lat_grid[-1])
This is a very questionable hack, though.