Filtering and plotting

In [1]:

    

# NBVAL_IGNORE_OUTPUT
from pymagicc import MAGICC6
from pymagicc import rcp26

import matplotlib.pyplot as plt  
plt.style.use("bmh")


    

In [2]:

    

with MAGICC6() as magicc:
    results = magicc.run(rcp26)


    

In [3]:

    

# NBVAL_IGNORE_OUTPUT
# Note that row ordering may vary
results.head()


    

    
Out[3]:







  

    

      

      
model
      
scenario
      
region
      
variable
      
unit
      
time
      
climate_model
      
todo
      
value
    
  
  

    

      
0
      
IMAGE
      
RCP26
      
World
      
Emissions|BC|MAGICC AFOLU
      
Mt BC / yr
      
1765-07-12
      
MAGICC6
      
N/A
      
0.0
    
    

      
1
      
IMAGE
      
RCP26
      
World|Northern Hemisphere|Land
      
Emissions|BC|MAGICC AFOLU
      
Mt BC / yr
      
1765-07-12
      
MAGICC6
      
N/A
      
0.0
    
    

      
2
      
IMAGE
      
RCP26
      
World|Northern Hemisphere|Ocean
      
Emissions|BC|MAGICC AFOLU
      
Mt BC / yr
      
1765-07-12
      
MAGICC6
      
N/A
      
0.0
    
    

      
3
      
IMAGE
      
RCP26
      
World|Southern Hemisphere|Land
      
Emissions|BC|MAGICC AFOLU
      
Mt BC / yr
      
1765-07-12
      
MAGICC6
      
N/A
      
0.0
    
    

      
4
      
IMAGE
      
RCP26
      
World|Southern Hemisphere|Ocean
      
Emissions|BC|MAGICC AFOLU
      
Mt BC / yr
      
1765-07-12
      
MAGICC6
      
N/A
      
0.0
    
  

In [4]:

    

results.filter(
    variable="*Concentrations|CO2",
).line_plot(x="time", figsize=(16, 9));


    

In [5]:

    

results.filter(
    variable="*Temperature*"
).line_plot(x="time", figsize=(16, 9));