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Specify vmin, vmax in norm. #10

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Specify vmin, vmax in norm. #10

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40 changes: 20 additions & 20 deletions practical/ecradplot/plot.py
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Original file line number Diff line number Diff line change
Expand Up @@ -144,7 +144,7 @@ def plot_inputs_noncloud(IFS_srcfile, dstfile=None, line_ds='default'):
#Specific humidity
i+=1
irregular_pcolor(axes[i], _ds.latitude, _ds.pressure_fl, _ds.q,
dict(vmin=1e-6, vmax=1e-2, norm=LogNorm(), cmap='Greens'),
dict(norm=LogNorm(vmin=1e-6, vmax=1e-2), cmap='Greens'),
cbar_kwargs={'pad':0.01, 'label':'mass mixing ratio\n[kg kg$^{-1}$]', 'ticks':[1e-5,1e-4,1e-3,1e-2]})

axes[i].set_title('Specific humidity')
Expand All @@ -157,7 +157,7 @@ def plot_inputs_noncloud(IFS_srcfile, dstfile=None, line_ds='default'):
#Ozone
i+=1
irregular_pcolor(axes[i], _ds.latitude, _ds.pressure_fl, _ds.o3_mmr,
dict(vmin=1e-8, vmax=1e-5, norm=LogNorm(), cmap='Blues'),
dict(norm=LogNorm(vmin=1e-8, vmax=1e-5), cmap='Blues'),
cbar_kwargs={'pad':0.01, 'label':'mass mixing ratio\n[kg kg$^{-1}$]', 'ticks':[1e-8,1e-7,1e-6,1e-5]})

axes[i].set_title('Ozone')
Expand Down Expand Up @@ -209,13 +209,13 @@ def plot_inputs_cloud(IFS_srcfile, include_effective_radius=False, dstfile=None)
axes[0].set_xlabel('')

irregular_pcolor(axes[1], _ds.latitude, _ds.pressure_fl, _ds.q_ice.where(_ds.q_ice > 1e-10).fillna(1e-10),
dict(vmin=1e-8, vmax=0.5e-2, norm=LogNorm(), cmap='Blues'),
dict(norm=LogNorm(vmin=1e-8, vmax=0.5e-2), cmap='Blues'),
cbar_kwargs={'pad':0.01, 'label':'mixing ratio\n[kg kg$^{-1}$]', 'ticks':[1e-7, 1e-5, 1e-3]})
axes[1].set_title('Cloud ice water content')
axes[1].set_xlabel('')

irregular_pcolor(axes[2], _ds.latitude, _ds.pressure_fl, _ds.q_liquid.where(_ds.q_liquid > 1e-10).fillna(1e-10),
dict(vmin=1e-8, vmax=0.5e-2, norm=LogNorm(), cmap='Reds'),
dict(norm=LogNorm(vmin=1e-8, vmax=0.5e-2), cmap='Reds'),
cbar_kwargs={'pad':0.01, 'label':'mixing ratio\n[kg kg$^{-1}$]', 'ticks':[1e-7, 1e-5, 1e-3]})
axes[2].set_title('Cloud liquid water content')
format_latitude(axes[-1])
Expand All @@ -224,13 +224,13 @@ def plot_inputs_cloud(IFS_srcfile, include_effective_radius=False, dstfile=None)
axes[2].set_xlabel('')

irregular_pcolor(axes[3], _ds.latitude, _ds.pressure_fl, _ds.re_ice.where(_ds.q_ice > 1e-10).fillna(1e-10),
dict(vmin=3e-6, vmax=1e-4, norm=LogNorm(), cmap='Blues'),
dict(norm=LogNorm(vmin=3e-6, vmax=1e-4), cmap='Blues'),
cbar_kwargs={'pad':0.01, 'label':'$r_{\mathrm{eff}}$ [m]'})
axes[3].set_title('Ice effective radius')
axes[3].set_xlabel('')

irregular_pcolor(axes[4], _ds.latitude, _ds.re_liquid.where(_ds.q_liquid > 1e-10).fillna(1e-10),
dict(vmin=3e-6, vmax=1e-4, norm=LogNorm(), cmap='Reds'),
dict(norm=LogNorm(vmin=3e-6, vmax=1e-4), cmap='Reds'),
cbar_kwargs={'pad':0.01, 'label':'$r_{\mathrm{eff}}$ [m]'})
axes[4].set_title('Liquid effective radius')

Expand Down Expand Up @@ -266,32 +266,32 @@ def plot_inputs_aerosols(IFS_srcfile, dstfile=None):
fig, axes = plt.subplots(figsize=(25,4*nrows), nrows=nrows, sharex=True, sharey=True, )

irregular_pcolor(axes[0], _ds.latitude, _ds.pressure_fl, _ds.sea_salt.where(_ds.sea_salt > 1e-12).fillna(1e-12),
dict(vmin=1e-12, vmax=1e-6, norm=LogNorm(), cmap='Blues'),
dict(norm=LogNorm(vmin=1e-12, vmax=1e-6), cmap='Blues'),
cbar_kwargs={'pad':0.01, 'label':'mixing ratio\n[kg kg$^{-1}$]', 'ticks':[1e-12, 1e-9, 1e-6]})
axes[0].set_title('Sea salt')
axes[0].set_xlabel('')

irregular_pcolor(axes[1], _ds.latitude, _ds.pressure_fl, _ds.dust.where(_ds.dust > 1e-12).fillna(1e-12),
dict(vmin=1e-12, vmax=1e-6, norm=LogNorm(), cmap='OrRd'),
dict(norm=LogNorm(vmin=1e-12, vmax=1e-6), cmap='OrRd'),
cbar_kwargs={'pad':0.01, 'label':'mixing ratio\n[kg kg$^{-1}$]', 'ticks':[1e-12, 1e-9, 1e-6]})
axes[1].set_title('Dust')
axes[1].set_xlabel('')

irregular_pcolor(axes[2], _ds.latitude, _ds.pressure_fl, _ds.organics.where(_ds.organics > 1e-12).fillna(1e-12),
dict(vmin=1e-12, vmax=1e-7, norm=LogNorm(), cmap='Greens'),
dict(norm=LogNorm(vmin=1e-12, vmax=1e-7), cmap='Greens'),
cbar_kwargs={'pad':0.01, 'label':'mixing ratio\n[kg kg$^{-1}$]', 'ticks':[1e-12, 1e-10, 1e-8]})
axes[2].set_title('Organics')
format_latitude(axes[-1])
axes[2].set_xlabel('')

irregular_pcolor(axes[3], _ds.latitude, _ds.pressure_fl, _ds.black_carbon.where(_ds.black_carbon > 1e-12).fillna(1e-12),
dict(vmin=1e-12, vmax=1e-7, norm=LogNorm(), cmap='Greys'),
dict(norm=LogNorm(vmin=1e-12, vmax=1e-7), cmap='Greys'),
cbar_kwargs={'pad':0.01, 'label':'mixing ratio\n[kg kg$^{-1}$]', 'ticks':[1e-12, 1e-10, 1e-8]})
axes[3].set_title('Black carbon')
axes[3].set_xlabel('')

irregular_pcolor(axes[4], _ds.latitude, _ds.pressure_fl, _ds.sulphate.where(_ds.sulphate > 1e-12).fillna(1e-12),
dict(vmin=1e-12, vmax=1e-7, norm=LogNorm(), cmap='Reds'),
dict(norm=LogNorm(vmin=1e-12, vmax=1e-7), cmap='Reds'),
cbar_kwargs={'pad':0.01, 'label':'mixing ratio\n[kg kg$^{-1}$]', 'ticks':[1e-12, 1e-10, 1e-8]})
axes[4].set_title('Sulphates')

Expand Down Expand Up @@ -379,7 +379,7 @@ def plot_inputs(IFS_srcfile, dstfile=None, line_ds='default'):
#Specific humidity
i+=1
irregular_pcolor(axes[i,j], _ds.latitude, _ds.pressure_fl, _ds.q,
dict(vmin=1e-6, vmax=1e-2, norm=LogNorm(), cmap='Greens'),
dict(norm=LogNorm(vmin=1e-6, vmax=1e-2), cmap='Greens'),
cbar_kwargs={**cbar_kwargs, **{'label':'mixing ratio\n[kg kg$^{-1}$]', 'ticks':[1e-5,1e-4,1e-3,1e-2]}})

axes[i,j].set_title('Specific humidity')
Expand All @@ -399,14 +399,14 @@ def plot_inputs(IFS_srcfile, dstfile=None, line_ds='default'):

i+=1
irregular_pcolor(axes[i,j], _ds.latitude, _ds.pressure_fl, _ds.q_ice.where(_ds.q_ice > 1e-10).fillna(1e-10),
dict(vmin=1e-8, vmax=0.5e-2, norm=LogNorm(), cmap='Blues'),
dict(norm=LogNorm(vmin=1e-8, vmax=0.5e-2), cmap='Blues'),
cbar_kwargs={**cbar_kwargs, **{'label':'mixing ratio\n[kg kg$^{-1}$]', 'ticks':[1e-7, 1e-5, 1e-3]}})
axes[i,j].set_title('Cloud ice water content')
axes[i,j].set_xlabel('')

i+=1
irregular_pcolor(axes[i,j], _ds.latitude, _ds.pressure_fl, _ds.q_liquid.where(_ds.q_liquid > 1e-10).fillna(1e-10),
dict(vmin=1e-8, vmax=0.5e-2, norm=LogNorm(), cmap='Reds'),
dict(norm=LogNorm(vmin=1e-8, vmax=0.5e-2), cmap='Reds'),
cbar_kwargs={**cbar_kwargs, **{'label':'mixing ratio\n[kg kg$^{-1}$]', 'ticks':[1e-7, 1e-5, 1e-3]}})
axes[i,j].set_title('Cloud liquid water content')

Expand All @@ -416,7 +416,7 @@ def plot_inputs(IFS_srcfile, dstfile=None, line_ds='default'):
#Ozone
i=0
irregular_pcolor(axes[i,j], _ds.latitude, _ds.pressure_fl, _ds.o3_mmr,
dict(vmin=1e-8, vmax=1e-5, norm=LogNorm(), cmap='Blues'),
dict(norm=LogNorm(vmin=1e-8, vmax=1e-5), cmap='Blues'),
cbar_kwargs={**cbar_kwargs, **{'label':'mixing ratio\n[kg kg$^{-1}$]', 'ticks':[1e-8,1e-7,1e-6,1e-5]}})

axes[i,j].set_title('Ozone')
Expand All @@ -430,35 +430,35 @@ def plot_inputs(IFS_srcfile, dstfile=None, line_ds='default'):

i+=1
irregular_pcolor(axes[i,j], _ds.latitude, _ds.pressure_fl, _ds.sea_salt.where(_ds.sea_salt > 1e-12).fillna(1e-12),
dict(vmin=1e-12, vmax=1e-6, norm=LogNorm(), cmap='Blues'),
dict(norm=LogNorm(vmin=1e-12, vmax=1e-6), cmap='Blues'),
cbar_kwargs={**cbar_kwargs, **{'label':'mixing ratio\n[kg kg$^{-1}$]', 'ticks':[1e-12, 1e-9, 1e-6]}})
axes[i,j].set_title('Sea salt')
axes[i,j].set_xlabel('')

i+=1
irregular_pcolor(axes[i,j], _ds.latitude, _ds.pressure_fl, _ds.dust.where(_ds.dust > 1e-12).fillna(1e-12),
dict(vmin=1e-12, vmax=1e-6, norm=LogNorm(), cmap='OrRd'),
dict(norm=LogNorm(vmin=1e-12, vmax=1e-6), cmap='OrRd'),
cbar_kwargs={**cbar_kwargs, **{'label':'mixing ratio\n[kg kg$^{-1}$]', 'ticks':[1e-12, 1e-9, 1e-6]}})
axes[i,j].set_title('Dust')
axes[i,j].set_xlabel('')

i+=1
irregular_pcolor(axes[i,j], _ds.latitude, _ds.pressure_fl, _ds.organics.where(_ds.organics > 1e-12).fillna(1e-12),
dict(vmin=1e-12, vmax=1e-7, norm=LogNorm(), cmap='Greens'),
dict(norm=LogNorm(vmin=1e-12, vmax=1e-7), cmap='Greens'),
cbar_kwargs={**cbar_kwargs, **{'label':'mixing ratio\n[kg kg$^{-1}$]', 'ticks':[1e-12, 1e-10, 1e-8]}})
axes[i,j].set_title('Organics')
axes[i,j].set_xlabel('')

i+=1
irregular_pcolor(axes[i,j], _ds.latitude, _ds.pressure_fl, _ds.black_carbon.where(_ds.black_carbon > 1e-12).fillna(1e-12),
dict(vmin=1e-12, vmax=1e-7, norm=LogNorm(), cmap='Greys'),
dict(norm=LogNorm(vmin=1e-12, vmax=1e-7), cmap='Greys'),
cbar_kwargs={**cbar_kwargs, **{'label':'mixing ratio\n[kg kg$^{-1}$]', 'ticks':[1e-12, 1e-10, 1e-8]}})
axes[i,j].set_title('Black carbon')
axes[i,j].set_xlabel('')

i+=1
irregular_pcolor(axes[i,j], _ds.latitude, _ds.pressure_fl, _ds.sulphate.where(_ds.sulphate > 1e-12).fillna(1e-12),
dict(vmin=1e-12, vmax=1e-7, norm=LogNorm(), cmap='Reds'),
dict(norm=LogNorm(vmin=1e-12, vmax=1e-7), cmap='Reds'),
cbar_kwargs={**cbar_kwargs, **{'label':'mixing ratio\n[kg kg$^{-1}$]', 'ticks':[1e-12, 1e-10, 1e-8]}})
axes[i,j].set_title('Sulphates')

Expand Down