Python 在 matplotlib 图中绘制平滑曲线
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Plotting a smooth curve in matplotlib graphs
提问by
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: uvand wcomponents.
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...
我正在使用 python 读取 netcdf 文件，需要在 python 中使用 matplotlib 库绘制图形。netcdf 文件包含 3 个变量：uv和w组件。我必须在垂直比例上绘制这 3 个组件。由于这些数据将用于天气预报雷达。我需要用拐角处的平滑曲线绘制这些图。现在情节看起来和代码是......
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()
采纳答案by Eric O Lebigot
A simple solution is to do interpolation with splines, as explained in a nice Scipy tutorial.
一个简单的解决方案是使用样条进行插值，如一个很好的 Scipy 教程中所述。
Here is an example:
下面是一个例子：
