【python海洋专题二十七】南海四季海流图

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【python海洋专题二十七】南海四季海流图



往期推荐

**[[
【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

【python海洋专题九】Cartopy画地形等深线图

【python海洋专题十】Cartopy画特定区域的地形等深线图

【python海洋专题十一】colormap调色

【python海洋专题十二】年平均的南海海表面温度图

【python海洋专题十三】读取多个nc文件画温度季节变化图

【python海洋专题十四】读取多个盐度nc数据画盐度季节变化图

【python海洋专题十五】给colorbar加单位

【python海洋专题十六】对大陆周边的数据进行临近插值

【python海洋专题十七】读取几十年的OHC数据，画四季图

【python海洋专题十八】读取Soda数据，画subplot的海表面高度四季变化图

【python海洋专题十九】找范围的语句进阶版本

【python海洋专题二十】subplots_adjust布局调整

【python海洋专题二十一】subplots共用一个colorbar

【python海洋专题二十二】在海图上text

【python海洋专题二十三】共用坐标轴

【python海洋专题二十四】南海年平均海流图
【python海洋专题二十五】给南海年平均海流+scale
【python海洋专题二十六】南海海流流速图

【python海洋专题二十七】南海四季海流图

【python海洋专题二十八】南海四季海流流速图

【MATLAB海洋专题】历史汇总

【matlab海洋专题】高级玫瑰图–风速风向频率玫瑰图–此图细节较多
【matlab程序】图片平面制作||文末点赞分享||海报制作等

大佬推荐一下物理海洋教材吧?

# -*- coding: utf-8 -*-
# ---导入数据读取和处理的模块-------
from netCDF4 import Dataset
from pathlib import Path
import xarray as xr
import numpy as np
# ------导入画图相关函数--------
import matplotlib.pyplot as plt
from matplotlib.font_manager import FontProperties
import matplotlib.ticker as ticker
from cartopy import mpl
import cartopy.crs as ccrs
import cartopy.feature as feature
from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter
from pylab import *
# -----导入颜色包---------
import seaborn as sns
from matplotlib import cm
import palettable
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 palettable.cmocean.diverging import Delta_20
from palettable.scientific.diverging import Roma_20
from palettable.cmocean.diverging import Balance_20
from matplotlib.colors import ListedColormap
#     -------导入插值模块-----
from scipy.interpolate import interp1d  # 引入scipy中的一维插值库
from scipy.interpolate import griddata  # 引入scipy中的二维插值库
from scipy.interpolate import interp2d# ----define reverse_colourmap定义颜色的反向函数----
def reverse_colourmap(cmap, name='my_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_r# ---colormap的读取和反向----
cmap01 = Balance_20.mpl_colormap
cmap0 = Blues_9.mpl_colormap
cmap_r = reverse_colourmap(cmap0)
cmap1 = GnBu_9.mpl_colormap
cmap_r1 = reverse_colourmap(cmap1)
cmap2 = Roma_20.mpl_colormap
cmap_r2 = reverse_colourmap(cmap2)
# ---read_data---
f1 = xr.open_dataset(r'E:\data\soda\soda3.12.2_5dy_ocean_reg_2017.nc')
print(f1)
# # 提取经纬度（这样就不需要重复读取）
lat = f1['yt_ocean'].data
lon = f1['xt_ocean'].data
u = f1['u'].data
v = f1['v'].data
depth = f1['st_ocean'].data
# print(depth)
time = f1['time'].data
# print(time)
# # -------- find scs 's temp-----------
ln1 = np.where(lon >= 100)[0][0]
ln2 = np.where(lon >= 125)[0][0]
la1 = np.where(lat >= 0)[0][0]
la2 = np.where(lat >= 25)[0][0]
# time_all=[(time>=1058760) & (time<=1059096)]   #13-27 Oct
# # # 画图网格
lon1 = lon[ln1:ln2]
lat1 = lat[la1:la2]
X, Y = np.meshgrid(lon1, lat1)
u_aim = u[:, 0, la1:la2, ln1:ln2]
v_aim = v[:, 0, la1:la2, ln1:ln2]
# # # ----------对时间维度求平均 得到年平均的current------------------
u_year_mean = np.mean(u_aim[:, :, :], axis=0)
v_year_mean = np.mean(v_aim[:, :, :], axis=0)
# ------春夏秋冬------
u_spr_mean = np.mean(u_aim[2:5, :, :], axis=0)
u_sum_mean = np.mean(u_aim[5:8, :, :], axis=0)
u_atu_mean = np.mean(u_aim[8:11, :, :], axis=0)
u_win_mean = (u_aim[0, :, :] + u_aim[1, :, :] + u_aim[11, :, :]) / 3
v_spr_mean = np.mean(v_aim[2:5, :, :], axis=0)
v_sum_mean = np.mean(v_aim[5:8, :, :], axis=0)
v_atu_mean = np.mean(v_aim[8:11, :, :], axis=0)
v_win_mean = (v_aim[0, :, :] + v_aim[1, :, :] + v_aim[11, :, :]) / 3
# ----plot--------------
scale = '50m'
plt.rcParams['font.sans-serif'] = ['Times New Roman']  # 设置整体的字体为Times New Roman
# 设置显示中文字体
mpl.rcParams["font.sans-serif"] = ["SimHei"]
mpl.rcParams["mathtext.fontset"] = 'cm'  # 数学文字字体
mpl.rcParams["font.size"] = 12  # 字体大小
mpl.rcParams["axes.linewidth"] = 1  # 轴线边框粗细（默认的太粗了）
fig = plt.figure(dpi=300, figsize=(3.2, 2.6), facecolor='w', edgecolor='blue')  # 设置一个画板，将其返还给fig
# 通过subplots_adjust()设置间距配置
fig.subplots_adjust(left=0.1, bottom=0.05, right=0.9, top=0.95, wspace=0.05, hspace=0.15)
# --------第一个子图----------
ax = fig.add_subplot(2, 2, 1, projection=ccrs.PlateCarree(central_longitude=180))
ax.set_extent([100, 123, 0, 25], crs=ccrs.PlateCarree())  # 设置显示范围
land = feature.NaturalEarthFeature('physical', 'land', scale, edgecolor='face', zorder=1,facecolor=feature.COLORS['land'])
ax.add_feature(land, facecolor='0.6')
ax.add_feature(feature.COASTLINE.with_scale('50m'), lw=0.3, zorder=2)  # 添加海岸线：关键字lw设置线宽; lifestyle设置线型
cs = ax.quiver(X, Y, u_spr_mean, v_spr_mean, color='k', scale=5, zorder=0, width=0.003, headwidth=3,headlength=4.5, transform=ccrs.PlateCarree())
font = {'family': 'serif','weight': 'normal','size': 4,}
ax.quiverkey(cs,  # 传入quiver句柄X=0.9, Y=1.015,  # 确定 label 所在位置，都限制在[0,1]之间U=0.5,  # 参考箭头长度 表示风速为5m/s。angle=0,  # 参考箭头摆放角度。默认为0，即水平摆放label='0.5m/s',  # 箭头的补充：label的内容  +labelsep=0.01,labelpos='N',  # label在参考箭头的哪个方向; S表示南边color='r', labelcolor='r',  # 箭头颜色 + label的颜色fontproperties=font,  # l abel 的字体设置：大小，样式，weightzorder=10,)
# --------------添加标题----------------
ax.set_title('春季', loc="center", fontsize=6, pad=1)
# ------------------利用Formatter格式化刻度标签-----------------
ax.set_xticks(np.arange(100, 123, 5), crs=ccrs.PlateCarree())  # 添加经纬度
ax.set_xticklabels(np.arange(100, 123, 5), fontsize=4)
ax.set_yticks(np.arange(0, 25, 5), crs=ccrs.PlateCarree())
ax.set_yticklabels(np.arange(0, 25, 5), fontsize=4)
ax.xaxis.set_major_formatter(LongitudeFormatter())
ax.yaxis.set_major_formatter(LatitudeFormatter())
ax.tick_params(axis='x', top=True, which='major', direction='in', length=3, width=0.8, labelsize=5, pad=0.8,color='k')  # 刻度样式  pad代表标题离轴的远近
ax.tick_params(axis='y', right=True, which='major', direction='in', length=3, width=0.8, labelsize=5, pad=0.8,color='k')  # 更改刻度指向为朝内，颜色设置为蓝色
gl = ax.gridlines(crs=ccrs.PlateCarree(), draw_labels=False, xlocs=np.arange(100, 123, 5), ylocs=np.arange(0, 25, 5),linewidth=0.25, linestyle='--', color='k', alpha=0.8)  # 添加网格线
gl.top_labels, gl.bottom_labels, gl.right_labels, gl.left_labels = False, False, False, False
# -----第二个子图# --------子图----------
ax = fig.add_subplot(2, 2, 2, projection=ccrs.PlateCarree(central_longitude=180))
ax.set_extent([100, 123, 0, 25], crs=ccrs.PlateCarree())  # 设置显示范围
land = feature.NaturalEarthFeature('physical', 'land', scale, edgecolor='face', zorder=1,facecolor=feature.COLORS['land'])
ax.add_feature(land, facecolor='0.6')
ax.add_feature(feature.COASTLINE.with_scale('50m'), lw=0.3, zorder=2)  # 添加海岸线：关键字lw设置线宽; lifestyle设置线型
cs = ax.quiver(X, Y, u_sum_mean, v_sum_mean, color='k', scale=5, zorder=0, width=0.003, headwidth=3,headlength=4.5, transform=ccrs.PlateCarree())
font = {'family': 'serif','weight': 'normal','size': 4,}
ax.quiverkey(cs,  # 传入quiver句柄X=0.9, Y=1.015,  # 确定 label 所在位置，都限制在[0,1]之间U=0.5,  # 参考箭头长度 表示风速为5m/s。angle=0,  # 参考箭头摆放角度。默认为0，即水平摆放label='0.5m/s',  # 箭头的补充：label的内容  +labelsep=0.01,labelpos='N',  # label在参考箭头的哪个方向; S表示南边color='r', labelcolor='r',  # 箭头颜色 + label的颜色fontproperties=font,  # l abel 的字体设置：大小，样式，weightzorder=10,)
# --------------添加标题----------------
ax.set_title('夏季', loc="center", fontsize=6, pad=1)
# ------------------利用Formatter格式化刻度标签-----------------
ax.set_xticks(np.arange(100, 123, 5), crs=ccrs.PlateCarree())  # 添加经纬度
ax.set_xticklabels(np.arange(100, 123, 5), fontsize=4)
ax.set_yticks(np.arange(0, 25, 5), crs=ccrs.PlateCarree())
ax.set_yticklabels(np.arange(0, 25, 5), fontsize=4)
ax.xaxis.set_major_formatter(LongitudeFormatter())
ax.yaxis.set_major_formatter(LatitudeFormatter())
ax.tick_params(axis='x', top=True, which='major', direction='in', length=3, width=0.8, labelsize=5, pad=0.8,color='k')  # 刻度样式  pad代表标题离轴的远近
ax.tick_params(axis='y', right=True, which='major', direction='in', length=3, width=0.8, labelsize=5, pad=0.8,color='k')  # 更改刻度指向为朝内，颜色设置为蓝色
gl = ax.gridlines(crs=ccrs.PlateCarree(), draw_labels=False, xlocs=np.arange(100, 123, 5), ylocs=np.arange(0, 25, 5),linewidth=0.25, linestyle='--', color='k', alpha=0.8)  # 添加网格线
gl.top_labels, gl.bottom_labels, gl.right_labels, gl.left_labels = False, False, False, False
# -----第san个子图# --------子图----------
ax = fig.add_subplot(2, 2, 3, projection=ccrs.PlateCarree(central_longitude=180))
ax.set_extent([100, 123, 0, 25], crs=ccrs.PlateCarree())  # 设置显示范围
land = feature.NaturalEarthFeature('physical', 'land', scale, edgecolor='face', zorder=1,facecolor=feature.COLORS['land'])
ax.add_feature(land, facecolor='0.6')
ax.add_feature(feature.COASTLINE.with_scale('50m'), lw=0.3, zorder=2)  # 添加海岸线：关键字lw设置线宽; lifestyle设置线型
cs = ax.quiver(X, Y, u_atu_mean, v_atu_mean, color='k', scale=5, zorder=0, width=0.003, headwidth=3,headlength=4.5, transform=ccrs.PlateCarree())
font = {'family': 'serif','weight': 'normal','size': 4,}
ax.quiverkey(cs,  # 传入quiver句柄X=0.9, Y=1.015,  # 确定 label 所在位置，都限制在[0,1]之间U=0.5,  # 参考箭头长度 表示风速为5m/s。angle=0,  # 参考箭头摆放角度。默认为0，即水平摆放label='0.5m/s',  # 箭头的补充：label的内容  +labelsep=0.01,labelpos='N',  # label在参考箭头的哪个方向; S表示南边color='r', labelcolor='r',  # 箭头颜色 + label的颜色fontproperties=font,  # l abel 的字体设置：大小，样式，weightzorder=10,)
# --------------添加标题----------------
ax.set_title('秋季', loc="center", fontsize=6, pad=1)
# ------------------利用Formatter格式化刻度标签-----------------
ax.set_xticks(np.arange(100, 123, 5), crs=ccrs.PlateCarree())  # 添加经纬度
ax.set_xticklabels(np.arange(100, 123, 5), fontsize=4)
ax.set_yticks(np.arange(0, 25, 5), crs=ccrs.PlateCarree())
ax.set_yticklabels(np.arange(0, 25, 5), fontsize=4)
ax.xaxis.set_major_formatter(LongitudeFormatter())
ax.yaxis.set_major_formatter(LatitudeFormatter())
ax.tick_params(axis='x', top=True, which='major', direction='in', length=3, width=0.8, labelsize=5, pad=0.8,color='k')  # 刻度样式  pad代表标题离轴的远近
ax.tick_params(axis='y', right=True, which='major', direction='in', length=3, width=0.8, labelsize=5, pad=0.8,color='k')  # 更改刻度指向为朝内，颜色设置为蓝色
gl = ax.gridlines(crs=ccrs.PlateCarree(), draw_labels=False, xlocs=np.arange(100, 123, 5), ylocs=np.arange(0, 25, 5),linewidth=0.25, linestyle='--', color='k', alpha=0.8)  # 添加网格线
gl.top_labels, gl.bottom_labels, gl.right_labels, gl.left_labels = False, False, False, False
# -----第四个子图# --------子图----------
ax = fig.add_subplot(2, 2, 4, projection=ccrs.PlateCarree(central_longitude=180))
ax.set_extent([100, 123, 0, 25], crs=ccrs.PlateCarree())  # 设置显示范围
land = feature.NaturalEarthFeature('physical', 'land', scale, edgecolor='face', zorder=1,facecolor=feature.COLORS['land'])
ax.add_feature(land, facecolor='0.6')
ax.add_feature(feature.COASTLINE.with_scale('50m'), lw=0.3, zorder=2)  # 添加海岸线：关键字lw设置线宽; lifestyle设置线型
cs = ax.quiver(X, Y, u_win_mean, v_win_mean, color='k', scale=5, zorder=0, width=0.003, headwidth=3,headlength=4.5, transform=ccrs.PlateCarree())
font = {'family': 'serif','weight': 'normal','size': 4,}
ax.quiverkey(cs,  # 传入quiver句柄X=0.9, Y=1.015,  # 确定 label 所在位置，都限制在[0,1]之间U=0.5,  # 参考箭头长度 表示风速为5m/s。angle=0,  # 参考箭头摆放角度。默认为0，即水平摆放label='0.5m/s',  # 箭头的补充：label的内容  +labelsep=0.01,labelpos='N',  # label在参考箭头的哪个方向; S表示南边color='r', labelcolor='r',  # 箭头颜色 + label的颜色fontproperties=font,  # l abel 的字体设置：大小，样式，weightzorder=10,)
# --------------添加标题----------------
ax.set_title('冬季', loc="center", fontsize=6, pad=1)
# ------------------利用Formatter格式化刻度标签-----------------
ax.set_xticks(np.arange(100, 123, 5), crs=ccrs.PlateCarree())  # 添加经纬度
ax.set_xticklabels(np.arange(100, 123, 5), fontsize=4)
ax.set_yticks(np.arange(0, 25, 5), crs=ccrs.PlateCarree())
ax.set_yticklabels(np.arange(0, 25, 5), fontsize=4)
ax.xaxis.set_major_formatter(LongitudeFormatter())
ax.yaxis.set_major_formatter(LatitudeFormatter())
ax.tick_params(axis='x', top=True, which='major', direction='in', length=3, width=0.8, labelsize=5, pad=0.8,color='k')  # 刻度样式  pad代表标题离轴的远近
ax.tick_params(axis='y', right=True, which='major', direction='in', length=3, width=0.8, labelsize=5, pad=0.8,color='k')  # 更改刻度指向为朝内，颜色设置为蓝色
gl = ax.gridlines(crs=ccrs.PlateCarree(), draw_labels=False, xlocs=np.arange(100, 123, 5), ylocs=np.arange(0, 25, 5),linewidth=0.25, linestyle='--', color='k', alpha=0.8)  # 添加网格线
gl.top_labels, gl.bottom_labels, gl.right_labels, gl.left_labels = False, False, False, False
plt.savefig('subplot_current_1.jpg', dpi=600, bbox_inches='tight', pad_inches=0.1)  # 输出地图，并设置边框空白紧密
plt.show()

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