Case Overview¶
Catalog Visualization¶
import pandas as pd
from graphviz import Digraph
from config import analysis_config
df = pd.read_csv(analysis_config['catalog_csv'])
# Create Digraph object - use the left to right orientation instead of vertical
dot = Digraph(graph_attr={'rankdir': 'LR'})
# Save the catalog as a pdf
dot.format = 'pdf'
# Start counting at one for node numbers
num_node = 1
# Loop through the different cases
for case in df.case.unique():
case_i = num_node
dot.node(str(case_i), label=case)
num_node += 1
# Loop through the different components in each case
for component in df.loc[df.case == case].component.unique():
comp_i = num_node
dot.node(str(comp_i), label=component)
dot.edge(str(case_i), str(comp_i))
num_node += 1
# Loop through the frequency in each component within each experiment
for frequency in df.loc[(df.case == case) & (df.component == component)].frequency.unique():
freq_i = num_node
# Pull out the the stream information
stream = df.loc[
(df.case == case) & (df.component == component) & (df.frequency == frequency)
].stream.values[0]
# Add both stream and frequency information to these bubbles
dot.node(str(freq_i), label=f'stream: {stream} \n frequency: {frequency}')
dot.edge(str(comp_i), str(freq_i))
num_node += 1
comp_i += 1
case_i += 1
dot
Catalog Table¶
df
| component | stream | date | case | member_id | frequency | variables | path | |
|---|---|---|---|---|---|---|---|---|
| 0 | ocn | pop.h | 0001-01 | b1850.f19_g17.validation_mct.002 | 2 | month_1 | ['UVEL', 'UVEL2', 'VVEL', 'VVEL2', 'TEMP', 'dT... | /glade/scratch/hannay/archive/b1850.f19_g17.va... |
| 1 | ocn | pop.h | 0001-02 | b1850.f19_g17.validation_mct.002 | 2 | month_1 | ['UVEL', 'UVEL2', 'VVEL', 'VVEL2', 'TEMP', 'dT... | /glade/scratch/hannay/archive/b1850.f19_g17.va... |
| 2 | ocn | pop.h | 0001-03 | b1850.f19_g17.validation_mct.002 | 2 | month_1 | ['UVEL', 'UVEL2', 'VVEL', 'VVEL2', 'TEMP', 'dT... | /glade/scratch/hannay/archive/b1850.f19_g17.va... |
| 3 | ocn | pop.h | 0001-04 | b1850.f19_g17.validation_mct.002 | 2 | month_1 | ['UVEL', 'UVEL2', 'VVEL', 'VVEL2', 'TEMP', 'dT... | /glade/scratch/hannay/archive/b1850.f19_g17.va... |
| 4 | ocn | pop.h | 0001-05 | b1850.f19_g17.validation_mct.002 | 2 | month_1 | ['UVEL', 'UVEL2', 'VVEL', 'VVEL2', 'TEMP', 'dT... | /glade/scratch/hannay/archive/b1850.f19_g17.va... |
| ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 11098 | ocn | pop.h.nday1 | 0100-09-01 | b1850.f19_g17.validation_nuopc.004 | 4 | day_1 | ['SST', 'SST2', 'SSS', 'HMXL_DR_2', 'XMXL_2'] | /glade/scratch/hannay/archive/b1850.f19_g17.va... |
| 11099 | ocn | pop.h.nday1 | 0100-10-01 | b1850.f19_g17.validation_nuopc.004 | 4 | day_1 | ['SST', 'SST2', 'SSS', 'HMXL_DR_2', 'XMXL_2'] | /glade/scratch/hannay/archive/b1850.f19_g17.va... |
| 11100 | ocn | pop.h.nday1 | 0100-11-01 | b1850.f19_g17.validation_nuopc.004 | 4 | day_1 | ['SST', 'SST2', 'SSS', 'HMXL_DR_2', 'XMXL_2'] | /glade/scratch/hannay/archive/b1850.f19_g17.va... |
| 11101 | ocn | pop.h.nday1 | 0100-12-01 | b1850.f19_g17.validation_nuopc.004 | 4 | day_1 | ['SST', 'SST2', 'SSS', 'HMXL_DR_2', 'XMXL_2'] | /glade/scratch/hannay/archive/b1850.f19_g17.va... |
| 11102 | ocn | pop.h | once | b1850.f19_g17.validation_nuopc.004 | 4 | once | ['REGION_BOX3D', 'TIDAL_QE_2D', 'VERTICAL_FUNC... | /glade/scratch/hannay/archive/b1850.f19_g17.va... |
11103 rows × 8 columns