矢量形式的垂直风可视化

如何解决矢量形式的垂直风可视化

我有掩码数组格式的垂直风数据，我想将其绘制成矢量形式。

masked_array(
  data=[[-4.06932000e-04,-4.06932000e-04,-5.70601827e-04,...,-2.43262173e-04,-4.06932000e-04],[-1.38895096e-03,-8.97941481e-04,-7.95923461e-05,2.47747308e-04],[ 2.47747308e-04,5.75086961e-04,1.22976627e-03,7.38756788e-04,4.11417135e-04,8.40774808e-05],[ 5.50771393e-02,3.57640997e-02,5.21310824e-02,-4.98352197e-02,-2.95401612e-02,-3.90330111e-02],[ 6.03145738e-02,3.28180429e-02,4.96760350e-02,-2.65941043e-02,-2.38117172e-02,-3.33045672e-02],[ 5.75321867e-02,3.34727222e-02,4.95123652e-02,5.97619125e-03,5.32151194e-03,2.53912488e-03]],mask=False,fill_value=1e+20)

我尝试了以下方法：

import matplotlib.pyplot as plt
import numpy as np
from netCDF4 import Dataset as ncfile
import cartopy.crs as ccrs

nc = ncfile('data.nc')

lats = nc.variables['latitude'][:]
p = nc.variables['level'][:]

w = (nc.variables['w'][0,:,95])


fig = plt.figure(figsize=(11,8))
ax1 = fig.add_subplot(111)

ax1.axis([-10,40,1000,200])
ax1.yaxis.get_ticklocs(minor=True)     
ax1.minorticks_on()
ax1.tick_params(direction='out',which='both')
ax1.set_xlabel('Latitude (degrees)',fontsize=12,fontweight='bold')
ax1.set_ylabel('Pressure (mb)',fontweight='bold')
ax1.set_xticks(np.arange(-10,4))
ax1.set_yticks([1000,900,800,700,600,500,400,300,200])

#-- vertical wind vector
plt.quiver(lats,p,w,scale=10)

plt.savefig('sample.png')

它以下列方式显示，但我希望它变成等间距或**流**形式。