Cartopy:显示轴的刻度线
Cartopy: show tick marks of axes
我想在外面显示轴刻度线。 Cartopy 删除轴刻度线!。我尝试了解决方案 .
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy.mpl.ticker import (LongitudeFormatter, LatitudeFormatter,
LatitudeLocator, LongitudeLocator)
fig, ax = plt.subplots(figsize=(10, 5), subplot_kw={"projection":ccrs.PlateCarree()})
ax.coastlines()
gl = ax.gridlines(crs=ccrs.PlateCarree(), draw_labels=True,
linewidth=2, color='gray', alpha=0.5, linestyle='--')
gl.top_labels = False
gl.left_labels = False
gl.xlocator = LongitudeLocator()
gl.ylocator = LatitudeLocator()
gl.xformatter = LongitudeFormatter(auto_hide=False)
gl.yformatter = LatitudeFormatter()
ax.tick_params(axis="both",
tickdir='out',
length=15,
grid_transform=ccrs.PlateCarree()) # this did not work
gl.axes.tick_params(axis="both",
tickdir='out',
length=15,
grid_transform=ccrs.PlateCarree()) # this also did not work
plt.show()
您可以使用带有相关 crs 的 matplotlib set_xticks 在绘图中添加刻度线。然后分别添加网格线
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy.mpl.ticker import (LongitudeFormatter, LatitudeFormatter,
LatitudeLocator, LongitudeLocator)
fig, ax = plt.subplots(figsize=(10, 5), subplot_kw={"projection":ccrs.PlateCarree()})
ax.coastlines()
ax.yaxis.tick_right()
ax.set_xticks([-180,-120, -60, 0, 60, 120, 180], crs=ccrs.PlateCarree())
ax.set_yticks([-90, -60, -30, 0, 30, 60, 90], crs=ccrs.PlateCarree())
lon_formatter = LongitudeFormatter(zero_direction_label=True)
lat_formatter = LatitudeFormatter()
ax.xaxis.set_major_formatter(lon_formatter)
ax.yaxis.set_major_formatter(lat_formatter)
gl = ax.gridlines(crs=ccrs.PlateCarree(), draw_labels=False,
linewidth=2, color='gray', alpha=0.5, linestyle='--')
基于https://scitools.org.uk/cartopy/docs/v0.16/gallery/tick_labels.html
我想在外面显示轴刻度线。 Cartopy 删除轴刻度线!。我尝试了解决方案
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy.mpl.ticker import (LongitudeFormatter, LatitudeFormatter,
LatitudeLocator, LongitudeLocator)
fig, ax = plt.subplots(figsize=(10, 5), subplot_kw={"projection":ccrs.PlateCarree()})
ax.coastlines()
gl = ax.gridlines(crs=ccrs.PlateCarree(), draw_labels=True,
linewidth=2, color='gray', alpha=0.5, linestyle='--')
gl.top_labels = False
gl.left_labels = False
gl.xlocator = LongitudeLocator()
gl.ylocator = LatitudeLocator()
gl.xformatter = LongitudeFormatter(auto_hide=False)
gl.yformatter = LatitudeFormatter()
ax.tick_params(axis="both",
tickdir='out',
length=15,
grid_transform=ccrs.PlateCarree()) # this did not work
gl.axes.tick_params(axis="both",
tickdir='out',
length=15,
grid_transform=ccrs.PlateCarree()) # this also did not work
plt.show()
您可以使用带有相关 crs 的 matplotlib set_xticks 在绘图中添加刻度线。然后分别添加网格线
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy.mpl.ticker import (LongitudeFormatter, LatitudeFormatter,
LatitudeLocator, LongitudeLocator)
fig, ax = plt.subplots(figsize=(10, 5), subplot_kw={"projection":ccrs.PlateCarree()})
ax.coastlines()
ax.yaxis.tick_right()
ax.set_xticks([-180,-120, -60, 0, 60, 120, 180], crs=ccrs.PlateCarree())
ax.set_yticks([-90, -60, -30, 0, 30, 60, 90], crs=ccrs.PlateCarree())
lon_formatter = LongitudeFormatter(zero_direction_label=True)
lat_formatter = LatitudeFormatter()
ax.xaxis.set_major_formatter(lon_formatter)
ax.yaxis.set_major_formatter(lat_formatter)
gl = ax.gridlines(crs=ccrs.PlateCarree(), draw_labels=False,
linewidth=2, color='gray', alpha=0.5, linestyle='--')
基于https://scitools.org.uk/cartopy/docs/v0.16/gallery/tick_labels.html