Ejemplos de Database en Python

Ejemplo n.º 1

Archivo: plot_SST_AWT.py Proyecto: teslakit/teslakit

# DEV: override installed teslakit
import sys

sys.path.insert(0, op.join(op.dirname(__file__), '..', '..', '..'))

# teslakit
from teslakit.database import Database
from teslakit.plotting.awt import Plot_AWT_Validation, Plot_AWTs, \
Plot_AWTs_Dates, Plot_AWT_PCs_3D, Plot_AWT_PCs, Plot_EOFs_SST

# --------------------------------------
# Teslakit database

p_data = r'/Users/nico/Projects/TESLA-kit/TeslaKit/data'
db = Database(p_data)

# set site
db.SetSite('KWAJALEIN')

# Load SST AWT KMA and PCA
xds_PCA = db.Load_SST_PCA()
xds_KMA = db.Load_SST_KMA()

# Plot 6 EOFs
Plot_EOFs_SST(xds_PCA, 6)

# Plot 6 PCs 2D
Plot_AWT_PCs(xds_PCA, xds_KMA, n=6)

# load PCs simulated with copula

Ejemplo n.º 2

# DEV: override installed teslakit
import sys
sys.path.insert(0, op.join(op.dirname(__file__), '..', '..', '..'))

# teslakit
from teslakit.database import Database
from teslakit.estela import Predictor
from teslakit.util.time_operations import xds_common_dates_daily as xcd_daily
from teslakit.plotting.waves import Plot_Waves_DWTs

# --------------------------------------
# Teslakit database

p_data = r'/Users/nico/Projects/TESLA-kit/TeslaKit/data'
db = Database(p_data)

# set site
db.SetSite('KWAJALEIN')

# load waves families (full data)
xds_wvs_fams = db.Load_WAVES_fams()

# load predictor
pred = Predictor(db.paths.site.ESTELA.pred_slp)
pred.Load()

# DWTs bmus
xds_DWTs = pred.KMA
xds_BMUS = xr.Dataset(
    {'bmus': (('time', ), xds_DWTs['sorted_bmus_storms'].values[:])},

Ejemplo n.º 3

Archivo: test_nakajo_extract.py Proyecto: teslakit/teslakit

import numpy as np
import xarray as xr

# DEV: override installed teslakit
import sys
sys.path.insert(0, op.join(op.dirname(__file__), '..', '..', '..'))

# teslakit
from teslakit.database import Database
from teslakit.storms import Extract_Circle

# --------------------------------------
# Teslakit database

p_data = r'/Users/nico/Projects/TESLA-kit/TeslaKit/data'
db = Database(p_data)

# set site
db.SetSite('KWAJALEIN')

# wave point longitude and latitude
pnt_lon = 167.5
pnt_lat = 9.75

# radius for TCs selection (º)
r1 = 14
r2 = 4

# MDA number of cases
num_sel_mda = 1000

Ejemplo n.º 4

Archivo: test_hycreww.py Proyecto: teslakit/teslakit

sys.path.insert(0, op.join(os.path.abspath(''), '..', '..'))

# teslakit
from teslakit.database import Database
from teslakit.io.matlab import ReadMatfile
from teslakit.rbf import RBF_Interpolation

from teslakit.util.time_operations import DateConverter_Mat2Py

## Database and Site parameters
# %%
# --------------------------------------
# Teslakit database

p_data = r'/Users/anacrueda/Documents/Proyectos/TESLA/Teslakit/data'
db = Database(p_data)

# set site
db.SetSite('KWAJALEIN')

# %%
# --------------------------------------
# load data and set parameters
#  wave data reconstructed a 30m water depth

p_hist = r'/Users/anacrueda/Documents/Proyectos/SERDP/results_files/Historicos/'

p_dataset = op.join(
    p_hist,
    'Reconstr_Hs_Tp_Dir_Level_NOtransectRoi_Historical_2016_p6_in30m_snell_sep.mat'
)

Ejemplo n.º 5

import xarray as xr

# DEV: override installed teslakit
import sys
sys.path.insert(0, op.join(op.dirname(__file__), '..', '..', '..'))

# teslakit
from teslakit.database import Database
from teslakit.plotting.wts import Plot_Probs_WT_WT


# --------------------------------------
# Teslakit database

p_data = r'/Users/nico/Projects/TESLA-kit/TeslaKit/data'
db = Database(p_data)

# set site
db.SetSite('KWAJALEIN')

MJO_ncs = 8
DWT_ncs = 36

# MJO, DWTs historical data
xds_MJO_hist, xds_DWT_hist = db.Load_MJO_DWTs_Plots_hist()
MJO_phase = xds_MJO_hist.phase.values[:]
DWT_bmus = xds_DWT_hist.bmus.values[:]

Plot_Probs_WT_WT(
    MJO_phase, DWT_bmus, MJO_ncs, DWT_ncs,
    wt_colors=False, ttl='MJO Phases / DWT bmus (Historical)')

Ejemplo n.º 6

# DEV: override installed teslakit
import sys

sys.path.insert(0, op.join(op.dirname(__file__), '..', '..', '..'))

# teslakit
from teslakit.database import Database
from teslakit.estela import Predictor
from teslakit.plotting.estela import Plot_ESTELA

# --------------------------------------
# Teslakit database

p_data = r'/Users/nico/Projects/TESLA-kit/TeslaKit/data'
db = Database(p_data)

# set site
db.SetSite('KWAJALEIN')

# estela predictor
xds_est = db.Load_ESTELA_data()

# plot ESTELA (basemap)
Plot_ESTELA(
    xds_est.pnt_longitude,
    xds_est.pnt_latitude,
    xds_est.F_y1993to2012 * xds_est.mask_e95,
    xds_est.D_y1993to2012 * xds_est.mask_e95,
    lon1=110,
    lon2=290,

Ejemplo n.º 7

import xarray as xr

# DEV: override installed teslakit
import sys

sys.path.insert(0, op.join(op.dirname(__file__), '..', '..', '..'))

# teslakit
from teslakit.database import Database
from teslakit.estela import Predictor

# --------------------------------------
# Teslakit database

p_data = r'/Users/nico/Projects/TESLA-kit/TeslaKit/data'
db = Database(p_data)

# set site
db.SetSite('TESTNEW')

# --------------------------------------
# load SLP ESTELA predictor and waves data

pred = Predictor(db.paths.site.ESTELA.pred_slp)
pred.Load()

xds_WAVES = db.Load_ESTELA_waves()

# KMA REGRESSION GUIDED parameters
kma_date_ini = '1979-01-22'
kma_date_end = '2011-01-22'

Ejemplo n.º 8

Archivo: test_read_tcs_mda_sims.py Proyecto: teslakit/teslakit

# common
import os
import os.path as op
import sys

# pip
import numpy as np
import xarray as xr

# DEV: override installed teslakit
import sys
sys.path.insert(0, op.join(op.dirname(__file__), '..', '..', '..'))

# teslakit
from teslakit.database import Database

# --------------------------------------
# Teslakit database

p_data = r'/Users/nico/Projects/TESLA-kit/TeslaKit/data'
db = Database(p_data)

# set site
db.SetSite('ROI')

# --------------------------------------
# load TCs mda simulations

tcs_sims = db.Load_TCs_r2_mda_Simulations()
print(tcs_sims)

Ejemplo n.º 9

Archivo: plot_ALRw_reports.py Proyecto: teslakit/teslakit

import numpy as np
import xarray as xr

# DEV: override installed teslakit
import sys
sys.path.insert(0, op.join(op.dirname(__file__), '..', '..', '..'))

# teslakit
from teslakit.database import Database
from teslakit.alr import ALR_WRP

# --------------------------------------
# Teslakit database

p_data = r'/Users/nico/Projects/TESLA-kit/TeslaKit/data'
db = Database(p_data)

# set site
db.SetSite('ROI')

# alr test
p_alrw = db.paths.site.SST.alrw
#p_alrw = db.paths.site.MJO.alrw
#p_alrw = db.paths.site.ESTELA.alrw

# ALR wrap
ALRW = ALR_WRP(p_alrw)

# show model report
#ALRW.Report_Fit(terms_fit=True, summary=True)

Ejemplo n.º 10

# common
import os
import os.path as op
import sys

# pip
import numpy as np
import xarray as xr

# DEV: override installed teslakit
import sys
sys.path.insert(0, op.join(op.dirname(__file__), '..', '..', '..'))

# teslakit
from teslakit.database import Database
from teslakit.plotting.wts import Plot_Probs_WT_WT

# --------------------------------------
# Teslakit database

p_data = r'/Users/nico/Projects/TESLA-kit/TeslaKit/data'
db = Database(p_data)

# set site
db.SetSite('KWAJALEIN')

# load simulation data(hourly)
data = db.Load_SIM_hourly()

print(data)

Ejemplo n.º 11

Archivo: plot_AWTs_DWTs_probs.py Proyecto: teslakit/teslakit

import xarray as xr

# DEV: override installed teslakit
import sys

sys.path.insert(0, op.join(op.dirname(__file__), '..', '..', '..'))

# teslakit
from teslakit.database import Database
from teslakit.plotting.wts import Plot_Probs_WT_WT

# --------------------------------------
# Teslakit database

p_data = r'/Users/nico/Projects/TESLA-kit/TeslaKit/data'
db = Database(p_data)

# set site
db.SetSite('KWAJALEIN')

# Load AWTs (SST) and DWTs (ESTELA SLP)

n_clusters_AWT = 6
n_clusters_DWT = 42

# Plot AWTs/DWTs Probs - historical
AWT_hist, DWT_hist = db.Load_AWTs_DWTs_Plots_hist()
AWT_bmus = AWT_hist.bmus.values[:]
DWT_bmus = DWT_hist.bmus.values[:]

print(np.unique(AWT_bmus))

Ejemplo n.º 12

# DEV: override installed teslakit
import sys
sys.path.insert(0, op.join(op.dirname(__file__), '..', '..', '..'))

# teslakit
from teslakit.database import Database
from teslakit.plotting.storms import Plot_Params_Hist_vs_Sim_scatter, \
Plot_Params_Hist_vs_Sim_histogram, Plot_Params_MDA_vs_Sim_scatter


# --------------------------------------
# Teslakit database

p_data = r'/Users/nico/Projects/TESLA-kit/TeslaKit/data'
db = Database(p_data)

# set site
db.SetSite('KWAJALEIN')


# Load storms parameters real and syntethic 
_,xds_TCs_r2_params = db.Load_TCs_r2()
xds_TCs_r2_sim_params = db.Load_TCs_r2_sim_params()
xds_TCs_r2_MDA_params = db.Load_TCs_r2_mda_params()


# Plot storms tracks and storm parametrized inside radius 
Plot_Params_Hist_vs_Sim_scatter(xds_TCs_r2_params, xds_TCs_r2_sim_params)

# Plot storms tracks and storm parametrized inside radius 

Ejemplo n.º 13

Archivo: test_allstorms_extract.py Proyecto: teslakit/teslakit

import numpy as np
import xarray as xr

# DEV: override installed teslakit
import sys
sys.path.insert(0, op.join(op.dirname(__file__), '..', '..', '..'))

# teslakit
from teslakit.database import Database
from teslakit.storms import Extract_Circle

# --------------------------------------
# Teslakit database

p_data = r'/Users/nico/Projects/TESLA-kit/TeslaKit/data'
db = Database(p_data)

# set site
db.SetSite('KWAJALEIN')

# --------------------------------------
# load data and set parameters
xds_wmo = db.Load_TCs_noaa()  # noaa Allstorms.ibtracs_wmo

# wave point longitude and latitude
pnt_lon = 167.5
pnt_lat = 9.75

# radius for TCs selection (º)
r1 = 14
r2 = 4

Ejemplo n.º 14

Archivo: copulasim_pareto.py Proyecto: teslakit/teslakit

import numpy as np
import xarray as xr

# DEV: override installed teslakit
import sys
sys.path.insert(0, op.join(op.dirname(__file__), '..', '..', '..'))

# teslakit
from teslakit.database import Database
from teslakit.statistical import CopulaSimulation

# --------------------------------------
# Teslakit database

p_data = r'/Users/nico/Projects/TESLA-kit/TeslaKit/data'
db = Database(p_data)

# set site
db.SetSite('KWAJALEIN')

# --------------------------------------
# load data and set parameters

_, xds_TCs_r2_params = db.Load_TCs_r2()  # TCs parameters inside radius 2

# TCs random generation and MDA parameters
num_sim_rnd = 100000
num_sel_mda = 1000

# --------------------------------------
# Probabilistic simulation Historical TCs

Ejemplo n.º 15

import xarray as xr

# DEV: override installed teslakit
import sys
sys.path.insert(0, op.join(op.dirname(__file__), '..', '..', '..'))

# teslakit
from teslakit.database import Database
from teslakit.plotting.storms import Plot_TCs_TracksParams, \
Plot_Historical_TCs_Tracks, Plot_Historical_TCs_Tracks_Category

# --------------------------------------
# Teslakit database

p_data = r'/Users/nico/Projects/TESLA-kit/TeslaKit/data'
db = Database(p_data)

# set site
db.SetSite('KWAJALEIN')

# Load storms extracted at 4 degree radius
xds_tracks_r1, xds_params_r1 = db.Load_TCs_r1()
xds_tracks_r2, xds_params_r2 = db.Load_TCs_r2()

# Plot storms tracks and storm parametrized inside radius
Plot_TCs_TracksParams(xds_tracks_r2, xds_params_r2)

# Plot storm tracks world map (requires basemap)
lon1, lon2 = 90, 270
lat1, lat2 = -20, 70
pnt_lon, pnt_lat = 167.5, 9.75

Ejemplo n.º 16

Archivo: partitions_to_families.py Proyecto: teslakit/teslakit

import numpy as np
import xarray as xr

# DEV: override installed teslakit
import sys
sys.path.insert(0, op.join(op.dirname(__file__), '..', '..', '..'))

# teslakit
from teslakit.database import Database
from teslakit.waves import GetDistribution

# --------------------------------------
# Test data storage

p_data = r'/Users/nico/Projects/TESLA-kit/TeslaKit/data'
db = Database(p_data)

# set site
db.SetSite('ROI')

# waves partitions data
WVS_pts = db.Load_WAVES_partitions()
print(WVS_pts)

# wave families sectors
fams_sectors = [(210, 22.5), (22.5, 135)]

# calculate waves families
WVS_fams = GetDistribution(WVS_pts, fams_sectors)
print(WVS_fams)