In [1]:

    

%pylab inline
import px4tools


    

    




Populating the interactive namespace from numpy and matplotlib
attempting to monkey patch pandas timedelta series plotting
monkey patch suceeded
No module named 'control'

WARNING: logsysid module requires python-control

please install:
    pip install control

In [2]:

    

from px4tools.version import full_version
full_version


    

    
Out[2]:





'0.7.9'

In [3]:

    

d = px4tools.read_ulog('/home/jgoppert/.ros/rootfs/fs/microsd/log/2017-01-23/00_31_50.ulg')
innov = d['ekf2_innovations_0']


    

In [4]:

    

innov.t_ekf2_innovations_0__f_flow_innov_0_.plot()
innov.t_ekf2_innovations_0__f_flow_innov_1_.plot()
plt.grid()
plt.legend(loc='best')


    

    
Out[4]:





<matplotlib.legend.Legend at 0x7f8825930f60>






    

In [5]:

    

ind = innov.t_ekf2_innovations_0__f_flow_innov_1_.index
ind.freq = '1 day'
ind = innov.t_ekf2_innovations_0__f_flow_innov_1_.plot()


    

In [6]:

    

d = px4tools.pandas.TimedeltaIndex(start=0, freq='s', unit='s', periods=10)
px4tools.pandas.DataFrame(np.random.randn(len(d)), index=d).plot()


    

    
Out[6]:





<matplotlib.axes._subplots.AxesSubplot at 0x7f8825b939b0>






    

In [7]:

    

innov['12 s': '20 s'].t_ekf2_innovations_0__f_flow_innov_var_0_.plot()
innov['12 s': '20 s'].t_ekf2_innovations_0__f_flow_innov_var_1_.plot()
gca().set_ylim(0, 0.003)
plt.title('Flow Variance')


    

    
Out[7]:





<matplotlib.text.Text at 0x7f88253a8470>






    

In [8]:

    

innov.t_ekf2_innovations_0__f_flow_innov_var_1_.plot()


    

    
Out[8]:





<matplotlib.axes._subplots.AxesSubplot at 0x7f882535dcf8>