建设局网站策划书,电视台网站建设方案,潍坊网站收录,预告网站正在建设中【python海洋专题九】Cartopy画地形等深线图
水深图基础差不多了#xff0c;可以换成温度、盐度等
本期加上等深线
本期内容
1#xff1a;地形等深线
cf ax.contour(lon, lat, ele[:, :], levelsnp.linspace(-9000,-100,10),colorsgray, linestyles-,linewidths0.25, t…【python海洋专题九】Cartopy画地形等深线图
水深图基础差不多了可以换成温度、盐度等
本期加上等深线
本期内容
1地形等深线
cf ax.contour(lon, lat, ele[:, :], levelsnp.linspace(-9000,-100,10),colorsgray, linestyles-,linewidths0.25, transformccrs.PlateCarree())2改变颜色
colorsgray3改变粗细
linewidths1数字越大线条越粗。4特定等值线
levels[-9000, -8000, -5000, -3000, -1000, -300]想画哪条填写对应数字。5特定线条特定颜色和粗细
cf ax.contour(lon, lat, ele[:, :], levels[-8000,-6000,-4000,-2000,-200],colorsk, linestyles-,linewidths0.3, transformccrs.PlateCarree())
cf ax.contour(lon, lat, ele[:, :], levels[-3000],colorsr, linestyles-,linewidths0.5, transformccrs.PlateCarree())6线条样式
linestyles-.
图片 图片 图片 图片 图片
图片 7显示数字
ax.clabel(cf,inlineTrue,fmt‘%.f’,fontsize3.5) 出现错误不会了
‘codes’ must be a 1D list or array with the same length of ‘vertices’. Your vertices have shape (2, 2) but your codes have shape (1,)
8填充加上等值线 参考文献及其在本文中的作用
Python气象绘图笔记五——等高线 - 知乎 (zhihu.com)
【python海洋专题一】查看数据nc文件的属性并输出属性到txt文件
【python海洋专题二】读取水深nc文件并水深地形图 【python海洋专题三】图像修饰之画布和坐标轴
【Python海洋专题四】之水深地图图像修饰
【Python海洋专题五】之水深地形图海岸填充
【Python海洋专题六】之Cartopy画地形水深图
【python海洋专题】测试数据
【Python海洋专题七】Cartopy画地形水深图的陆地填充
【python海洋专题八】Cartopy画地形水深图的contourf填充间隔数调整 # -*- coding: utf-8 -*-
# %%
# Importing related function packages
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import cartopy.feature as feature
import numpy as np
import matplotlib.ticker as ticker
from cartopy import mpl
from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter
from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER
from matplotlib.font_manager import FontProperties
from netCDF4 import Dataset
from palettable.cmocean.diverging import Delta_4
from palettable.colorbrewer.sequential import GnBu_9
from palettable.colorbrewer.sequential import Blues_9
from palettable.scientific.diverging import Roma_20
from pylab import *
def reverse_colourmap(cmap, namemy_cmap_r):reverse []k []for key in cmap._segmentdata:k.append(key)channel cmap._segmentdata[key]data []for t in channel:data.append((1 - t[0], t[2], t[1]))reverse.append(sorted(data))LinearL dict(zip(k, reverse))my_cmap_r mpl.colors.LinearSegmentedColormap(name, LinearL)return my_cmap_rcmap Blues_9.mpl_colormap
cmap_r reverse_colourmap(cmap)
cmap1 GnBu_9.mpl_colormap
cmap_r1 reverse_colourmap(cmap1)
cmap2 Roma_20.mpl_colormap
cmap_r2 reverse_colourmap(cmap2)
# read data
a Dataset(D:\pycharm_work\data\scs_etopo.nc)
print(a)
lon a.variables[lon][:]
lat a.variables[lat][:]
ele a.variables[elevation][:]
# 图三
# 设置地图全局属性
scale 50m
plt.rcParams[font.sans-serif] [Times New Roman] # 设置整体的字体为Times New Roman
fig plt.figure(dpi300, figsize(3, 2), facecolorw, edgecolorblue)#设置一个画板将其返还给fig
ax fig.add_axes([0.05, 0.08, 0.92, 0.8], projectionccrs.PlateCarree(central_longitude180))
ax.set_extent([105, 125, 0, 25], crsccrs.PlateCarree())# 设置显示范围
land feature.NaturalEarthFeature(physical, land, scale, edgecolorface,facecolorfeature.COLORS[land])
ax.add_feature(land, facecolor0.6)
ax.add_feature(feature.COASTLINE.with_scale(50m), lw0.3)#添加海岸线关键字lw设置线宽;linestyle设置线型
cs ax.contourf(lon, lat, ele[:, :], levelsnp.arange(-9000,0,20),extendboth,cmapcmap_r1, transformccrs.PlateCarree())
# ------colorbar设置
cb plt.colorbar(cs, axax, extendboth, orientationvertical,ticksnp.linspace(-9000, 0, 10))
cb.set_label(depth, fontsize4, colork)#设置colorbar的标签字体及其大小
cb.ax.tick_params(labelsize4, directionin) #设置colorbar刻度字体大小。
cf ax.contour(lon, lat, ele[:, :], levels[-5000,-2000,-500,-300,-100,-50,-10],colorsgray, linestyles-,linewidths0.2,transformccrs.PlateCarree())
#ax.clabel(cf, inlineTrue, fontsize8, colorsred, fmt%1.0f,manualFalse)#ax.clabel(cf,inlineTrue,fmt%.f,fontsize3.5)# 添加标题
ax.set_title(Etopo, fontsize4)
# 利用Formatter格式化刻度标签
ax.set_xticks(np.arange(107, 125, 4), crsccrs.PlateCarree())#添加经纬度
ax.set_xticklabels(np.arange(107, 125, 4), fontsize4)
ax.set_yticks(np.arange(0, 25, 2), crsccrs.PlateCarree())
ax.set_yticklabels(np.arange(0, 25, 2), fontsize4)
ax.xaxis.set_major_formatter(LongitudeFormatter())
ax.yaxis.set_major_formatter(LatitudeFormatter())
ax.tick_params(colork, directionin)#更改刻度指向为朝内颜色设置为蓝色
gl ax.gridlines(crsccrs.PlateCarree(), draw_labelsFalse, xlocsnp.arange(107, 125, 4), ylocsnp.arange(0, 25, 2),linewidth0.25, linestyle--, colork, alpha0.8)#添加网格线
gl.top_labels, gl.bottom_labels, gl.right_labels, gl.left_labels False, False, False, False
plt.savefig(scs_elevation1.jpg, dpi600, bbox_inchestight, pad_inches0.1) # 输出地图并设置边框空白紧密
plt.show()
