In [1]:
import qcio
import qcutils

In [2]:
ds_ew=qcio.nc_read_series(qcio.get_filename_dialog())

In [3]:
ds_pi=qcio.nc_read_series(qcio.get_filename_dialog())

In [4]:
ds_nc=qcio.nc_read_series(qcio.get_filename_dialog())

In [5]:
ah_hmp_ew,f=qcutils.GetSeriesasMA(ds_ew,"Ah_HMP_3m")

In [6]:
ah_hmp_pi,f=qcutils.GetSeriesasMA(ds_pi,"Ah_HMP_3m")

In [7]:
ah_hmp_nc,f=qcutils.GetSeriesasMA(ds_nc,"Ah_HMP_3m")

In [8]:
ah_7500_ew,f=qcutils.GetSeriesasMA(ds_ew,"Ah_7500_Av")

In [9]:
ah_7500_pi,f=qcutils.GetSeriesasMA(ds_pi,"Ah_7500_Av")

In [10]:
ah_7500_nc,f=qcutils.GetSeriesasMA(ds_nc,"Ah_7500_Av")

In [11]:
fig_nc=figure()

In [12]:
plot(ah_7500_nc,ah_hmp_nc,'b.')


Out[12]:
[<matplotlib.lines.Line2D at 0xbb94fd0>]

In [13]:
xlabel("Ah_7500 (g/m3)")


Out[13]:
<matplotlib.text.Text at 0xbc50bd0>

In [14]:
ylabel("Ah_HMP (g/m3)")


Out[14]:
<matplotlib.text.Text at 0xbc58590>

In [15]:
title("Daly Pasture: 2009; No correction")


Out[15]:
<matplotlib.text.Text at 0xbd59390>

In [16]:
fig_ew=figure()

In [17]:
plot(ah_7500_ew,ah_hmp_ew,"b.")


Out[17]:
[<matplotlib.lines.Line2D at 0xbbaf3d0>]

In [18]:
xlabel("Ah_7500 (g/m3)")


Out[18]:
<matplotlib.text.Text at 0xbc5ca90>

In [19]:
ylabel("Ah_HMP (g/m3)")


Out[19]:
<matplotlib.text.Text at 0x9c45b10>

In [20]:
title("Daly Pasture: 2009; Emma's correction")


Out[20]:
<matplotlib.text.Text at 0x4c30750>

In [21]:
fig_pi=figure()

In [22]:
plot(ah_7500_pi,ah_hmp_pi,"b.")


Out[22]:
[<matplotlib.lines.Line2D at 0xbbc6350>]

In [23]:
xlabel("Ah_7500 (g/m3)")


Out[23]:
<matplotlib.text.Text at 0xbbc0650>

In [24]:
ylabel("Ah_HMP (g/m3)")


Out[24]:
<matplotlib.text.Text at 0xbbc6050>

In [25]:
title("Daly Pasture: 2009; Peter's correction")


Out[25]:
<matplotlib.text.Text at 0xc768950>

In [26]:
fig_ewpi=figure()

In [27]:
plot(ah_7500_ew,ah_7500_pi,"b.")


Out[27]:
[<matplotlib.lines.Line2D at 0xcb20cd0>]

In [28]:
xlabel("Ah_7500 (g/m3, Emma's)")


Out[28]:
<matplotlib.text.Text at 0xc78e150>

In [29]:
ylabel("Ah_7500 (g/m3, Peter's)")


Out[29]:
<matplotlib.text.Text at 0xc78ee90>

In [30]:
title("Daly Pasture: 2009; Emma's and Peter's Corrections")


Out[30]:
<matplotlib.text.Text at 0xc79e890>

In [31]:
fe_ew,f=qcutils.GetSeriesasMA(ds_ew,"Fe")

In [32]:
fe_pi,f=qcutils.GetSeriesasMA(ds_pi,"Fe")

In [33]:
fe_nc,f=qcutils.GetSeriesasMA(ds_nc,"Fe")

In [36]:
fig1=figure()

In [37]:
plot(fe_nc,fe_ew,"b.")


Out[37]:
[<matplotlib.lines.Line2D at 0xbfcdb90>]

In [38]:
xlabel("Fe (W/m2, no correction)")


Out[38]:
<matplotlib.text.Text at 0x9d47690>

In [39]:
ylabel("Fe (W/m2, Peter's)")


Out[39]:
<matplotlib.text.Text at 0xc673cd0>

In [40]:
title("Daly Pasture: 2009; Peter's vs no correction")


Out[40]:
<matplotlib.text.Text at 0xc680c90>

In [41]:
fig2=figure()

In [42]:
plot(fe_nc,fe_pi,"b.")


Out[42]:
[<matplotlib.lines.Line2D at 0xc002fd0>]

In [43]:
xlabel("Fe (W/m2, no correction)")


Out[43]:
<matplotlib.text.Text at 0xbfe0c50>

In [44]:
ylabel("Fe (W/m2, Peter's)")


Out[44]:
<matplotlib.text.Text at 0xbfe8690>

In [45]:
title("Daly Pasture: 2009; Peter's vs no correction")


Out[45]:
<matplotlib.text.Text at 0xbff5490>

In [46]:
fig3=figure()

In [47]:
plot(fe_nc,fe_ew,"b.")


Out[47]:
[<matplotlib.lines.Line2D at 0xc085ad0>]

In [48]:
xlabel("Fe (W/m2, no correction)")


Out[48]:
<matplotlib.text.Text at 0xc058690>

In [49]:
ylabel("Fe (W/m2, Emma's)")


Out[49]:
<matplotlib.text.Text at 0xc061090>

In [50]:
title("Daly Pasture: 2009; Emma's vs no correction")


Out[50]:
<matplotlib.text.Text at 0xc06a910>

In [51]:
fig4=figure()

In [52]:
plot(fe_ew,fe_pi,"b.")


Out[52]:
[<matplotlib.lines.Line2D at 0xd474590>]

In [53]:
xlabel("Fe (W/m2, Emma's)")


Out[53]:
<matplotlib.text.Text at 0xd44fc50>

In [54]:
ylabel("Fe (W/m2, Peter's)")


Out[54]:
<matplotlib.text.Text at 0xd456650>

In [55]:
title("Da;y Pasture: 2009; Emma's vs Peter's")


Out[55]:
<matplotlib.text.Text at 0xd460e10>

In [ ]: