如何使用Python处理HDF格式数据及可视化问题

import numpy as np
 
import matplotlib.pyplot as plt
from matplotlib import cm, colors
 
import seaborn as sns
import cartopy.crs as ccrs
from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter
 
from pyhdf.SD import SD, SDC
 
sns.set_context('talk', font_scale=1.3)
 
data = SD('LISOTD_LRMTS_V2.3.2014.hdf', SDC.READ)
lon = data.select('Longitude')
lat = data.select('Latitude')
flash = data.select('LRMTS_COM_FR')
 
# 设置colormap
collev= ['#ffffff', '#ab18b0', '#07048f', '#1ba01f', '#dfdf18', '#e88f14', '#c87d23', '#d30001', '#383838']
levels = [0, 0.01, 0.02, 0.04, 0.06, 0.1, 0.12, 0.15, 0.18, 0.2]
cmaps = colors.ListedColormap(collev, 'indexed')
norm = colors.BoundaryNorm(levels, cmaps.N)
 
proj = ccrs.PlateCarree()
 
fig, ax = plt.subplots(figsize=(16, 9), subplot_kw=dict(projection=proj))
 
LON, LAT= np.meshgrid(lon[:], lat[:])
 
con = ax.contourf(LON, LAT, flash[:, :, 150], cmap=cmaps, norm=norm, levels=levels, extend='max')
 
cb = fig.colorbar(con, shrink=0.75, pad=0.02)
cb.cmap.set_over('#000000')
cb.ax.tick_params(direction='in', length=5)
 
ax.coastlines()
 
ax.set_xticks(np.linspace(-180, 180, 5), crs=proj)
ax.set_yticks(np.linspace(-90, 90, 5), crs=proj)
 
lon_formatter= LongitudeFormatter(zero_direction_label=True)
lat_formatter= LatitudeFormatter()
 
ax.xaxis.set_major_formatter(lon_formatter)
ax.yaxis.set_major_formatter(lat_formatter)

import h5py
 
data = h5py.File('TES-Aura_L3-O3-M2005m07_F01_10.he5')
lon = data.get('/HDFEOS/GRIDS/NadirGrid/Data Fields/Longitude').value
lat = data.get('/HDFEOS/GRIDS/NadirGrid/Data Fields/Latitude').value
o3 = data.get('/HDFEOS/GRIDS/NadirGrid/Data Fields/O3').value
 
proj = ccrs.PlateCarree()
 
fig, ax = plt.subplots(figsize=(16, 9), subplot_kw=dict(projection=proj))
LON, LAT = np.meshgrid(lon[:], lat[:])
con = ax.contourf(LON, LAT, o3[10, :, :]*1e6, np.arange(0, 8.01, 0.1), vmin=0, vmax=8, cmap=cm.RdGy_r)
 
ax.coastlines()
ax.set_xticks(np.linspace(-180, 180, 5), crs=proj)
ax.set_yticks(np.linspace(-90, 90, 5), crs=proj)
 
lon_formatter = LongitudeFormatter(zero_direction_label=True)
lat_formatter = LatitudeFormatter()
ax.xaxis.set_major_formatter(lon_formatter)
ax.yaxis.set_major_formatter(lat_formatter)
 
cb = fig.colorbar(con, shrink=0.75, pad=0.02)
cb.set_ticks(np.arange(0, 8.01, 1))
cb.ax.tick_params(direction='in', length=5)