在matplotlib图中绘制平滑曲线 [英] Plotting a smooth curve in matplotlib graphs

问题描述

我正在使用python读取netcdf文件，并且需要使用python中的matplotlib库绘制图形. netcdf文件包含3个变量:u v和w组件. 我必须在垂直比例尺上绘制这三个组件. 由于这些数据将用于天气预报雷达. 我需要在拐角处绘制带有平滑曲线的这些图. 现在该图看起来 并且代码是...

I am reading a netcdf file using python and need to plot a graphs using matplotlib library in python. The netcdf file is containing 3 variables: u v and w components. I have to draw these 3 components on a vertical scale. Since these data is going to be used in a weather forecasting radar's. I need to plot these graphs with smooth curves around the corner. now the plot looks and the code is...

from netCDF4 import Dataset
from pylab import *
import numpy  
from scipy import interpolate
from scipy.interpolate import spline


#passing the filename

root_grp=Dataset('C:\\Python27\\MyPrograms\\nnt206rwpuvw.nc')

#getting values of u component
temp1 = root_grp.variables['ucomponent']
data1 = temp1[:]
u=data1[0]

#getting values of v component
temp2 = root_grp.variables['wcomponent']
data2 = temp2[:]
v=data2[0]
#getting values of w component
temp3 = root_grp.variables['wcomponent']
data3 = temp3[:]
w=data3[0]
#creating a new array
array=0.15*numpy.arange(1,55).reshape(1,54)
#aliasing
y=array[0]
#sub-plots
f, (ax1, ax2, ax3) = plt.subplots(1,3, sharey=True)
ax1.plot(u,y,'r')
ax2.plot(v,y,'g')
ax3.plot(w,y,'b')
#texts
ax1.set_title('u component',fontsize=16,color='r')
ax2.set_title('v component',fontsize=16,color='g')
ax3.set_title('w component',fontsize=16,color='b')
show()

推荐答案

一个简单的解决方案是使用样条线进行插值，如

A simple solution is to do interpolation with splines, as explained in a nice Scipy tutorial.

这里是一个例子:

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