In [1]:
# Creating example bls maps
from bls_geo import *
# can check out https://www.bls.gov/oes/current/oes_stru.htm
bio = '172031'
bio_stats = oes_geo(bio)
areas = get_areas() # this takes a few minutes
state = state_albers()
geo_bio = merge_occgeo(bio_stats,areas)
ax = geo_bio.plot(column='Employment',cmap='inferno',legend=True,zorder=2)
state.boundary.plot(ax=ax,color='grey',linewidth=0.5,zorder=1)
ax.set_ylim(0.1*1e6,3.3*1e6)
ax.set_xlim(-0.3*1e7,0.3*1e7) # lower 48 focus (for Albers proj)
ax.set_axis_off()
plt.show()
In [2]:
# Can export to excel (csv parsing is tough, maybe use tsv instead)
bio_stats.to_excel('biojobs.xlsx')
att = ['areaName','Employment','Location Quotient','Employment per 1,000 jobs','Annual mean wage']
form = ['',',.0f','.2f','.2f',',.0f']
map_bio = fol_map(geo_bio,'Employment',['lat', 'lon'],att,form)
#map_bio.save('biomap.html')
map_bio
Out[2]:
Make this Notebook Trusted to load map: File -> Trust Notebook
In [3]:
# Data science jobs
ds = '152098'
ds_stats = oes_geo(ds)
geo_ds = merge_occgeo(ds_stats,areas)
geo_ds.sort_values(by='Employment',inplace=True,ascending=False)
lim_fields = ['areaName','Employment','Annual mean wage','Annual 75th percentile wage']
geo_ds[lim_fields].head(10)
Out[3]:
| areaName | Employment | Annual mean wage | Annual 75th percentile wage | |
|---|---|---|---|---|
| 69 | New York-Newark-Jersey City, NY-NJ-PA | 4730 | 129250.0 | 158950.0 |
| 92 | San Francisco-Oakland-Hayward, CA | 3170 | 148680.0 | 175410.0 |
| 105 | Washington-Arlington-Alexandria, DC-VA-MD-WV | 2410 | 108060.0 | 132720.0 |
| 24 | Chicago-Naperville-Elgin, IL-IN-WI | 2410 | 101180.0 | 126170.0 |
| 95 | Seattle-Tacoma-Bellevue, WA | 2330 | 121090.0 | 149700.0 |
| 93 | San Jose-Sunnyvale-Santa Clara, CA | 2190 | 146400.0 | 178300.0 |
| 30 | Dallas-Fort Worth-Arlington, TX | 2160 | 103860.0 | 124100.0 |
| 8 | Atlanta-Sandy Springs-Roswell, GA | 1810 | 92240.0 | 118250.0 |
| 60 | Los Angeles-Long Beach-Anaheim, CA | 1640 | 117550.0 | 145070.0 |
| 78 | Phoenix-Mesa-Scottsdale, AZ | 1350 | 109000.0 | 130500.0 |
In [4]:
map_ds = fol_map(geo_ds,'Annual 75th percentile wage',['lat', 'lon'],att,form)
map_ds
Out[4]:
Make this Notebook Trusted to load map: File -> Trust Notebook
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