Library for plotting dataset from noaa site in basemap
Project description
NOAAWC
Library for plotting the world data climate with the data NOMADS NOAA/NASA
Please, Fork-me.
Installation
$ pip install noaawc -U
Examples
plotting
wind temperature with focus point
from noaawc.plot import plot_global
from noawclg.main import get_noaa_data as gnd
import matplotlib.pyplot as plt
plt.style.use('dark_background')
cmap = 'inferno'
date_base = '26/01/2023'
dn = gnd(date=date_base)
indice = 5
pg = plot_global(dn=dn)
pg.path=f'{cmap}_juazeiro_wind_focus1.png'
pg.title=f'Temperatura dos Jatos de Ventos'
pg.key_noaa='tmpmwl'
pg.indice=indice
pg.loc_focus=(-9.43847,-40.5052)
pg.text_cb='°C'
pg.author='@gpftc | @reinanbr_'
pg.cmap = cmap
pg.render(show=True)
wind temperature with focus point and text focus
from noaawc.plot import plot_global
from noawclg.main import get_noaa_data as gnd
import matplotlib.pyplot as plt
plt.style.use('dark_background')
cmap = 'inferno'
date_base = '26/01/2023'
dn = gnd(date=date_base)
indice = 5
pg = plot_global(dn=dn)
pg.path=f'{cmap}_juazeiro_wind_focus2.png'
pg.title=f'Temperatura dos Jatos de Ventos'
pg.key_noaa='tmpmwl'
pg.indice=indice
pg.loc_focus=(-9.43847,-40.5052)
pg.annotate_data_focus('. Juazeiro: %(data)sºC')
pg.annotate_color_focus = 'white'
pg.text_cb='°C'
pg.author='@gpftc | @reinanbr_'
pg.cmap = cmap
pg.render(show=True)
wind temperature with focus point, text focus and zoom
from noaawc.plot import plot_global
from noawclg.main import get_noaa_data as gnd
import matplotlib.pyplot as plt
plt.style.use('dark_background')
cmap = 'inferno'
date_base = '26/01/2023'
dn = gnd(date=date_base)
indice = 5
pg = plot_global(dn=dn)
pg.path=f'{cmap}_juazeiro_wind_focus.png'
pg.title=f'Temperatura dos Jatos de Ventos'
pg.key_noaa='tmpmwl'
pg.indice=indice
pg.loc_focus=(-9.43847,-40.5052)
pg.annotate_data_focus('. Juazeiro: %(data)sºC')
pg.annotate_color_focus = 'white'
pg.zoom(1,-1,-1,1)
pg.text_cb='°C'
pg.author='@gpftc | @reinanbr_'
pg.cmap = cmap
pg.render(show=True)
Animation GIF
First time with the class noaawc.animate.Create_plot_gif
:
>>> from noaawc.animate import Create_plot_gif as cgp
init var's in the class
#.../noaawc/animate.py
#...
import matplotlib.pyplot as plt
from noawclg.main import get_noaa_data as gnd
#...
@dataclass
class Create_plot_gif:
dn:gnd
path_save:str='img.gif'
size:int=70
path_data:str='data/img_'
title:str=''
key_noaa:str='vgrdpbl'
loc_focus:tuple=(-9.45,-40.5)
point_init=False
point_end:float=False
text_cb:str='°C'
lon_stop:float=False
alpha:float=.9
subtr_data:float=273
speed_frame:float=1
speed_degree_frame:float=1
zoom:tuple = None
author = '@gpfc_ | @reinanbr_'
annotate_focus_txt:str = None
annotate_loc_txt:str = None
annotate_loc_pos:tuple = (40.776676,-73.971321)
color_annote_loc:str = 'white'
fps:float = 10
cmap:plt.cm=plt.cm.jet
resolution:str = 'c'
#...
Wind Jet's
spinning
from noaawc.animate import Create_plot_gif as Cpf # importing class to work gif plot
from noawclg.main import get_noaa_data as gnd # importing class to work data
dn = gnd(date='16/01/2023') # set the now date (best yesterday) in format d/m/Y
point_init=[-9.43,-89] #point init to spinning
point_jua = [-9.43,-40.50] # end point (my city)
gif = Cpf(dn=dn) # setting data noaa on the class to work gif
cmap = 'inferno' # cmap theme color plot
gif.path_save=f'tests_gifs/wind/{cmap}_test_spin_temp_wind.gif' #path to save gif
gif.key_noaa = 'tmpmwl' # key from data that we want
gif.title='temperatura dos jatos de vento' # title plot gif
#setting the points
gif.point_init=point_init
gif.point_end=point_jua
#longitude stop
gif.lon_stop=-39
# setting cmap
gif.cmap = cmap
gif.author = '@gpfc_ | @reinanbr_' #setting the title author plot
gif.text_cb = 'ºC' #title from colorbar
gif.subtr_data = 273 # substitution of data (273, because K - 273 = ºC)
gif.tracing() # working string's, map's, daw's, line's
gif.render() # rendering the frames of gif
in the .../tests_gifs/wind/CMRmap_test_spin_temp_wind.gif:
surface temperature
from noaawc.animate import Create_plot_gif as Cpf
from noawclg.main import get_noaa_data as gnd
dn = gnd(date='16/01/2023')
point_init=[-9.43,-89]
point_jua = [-9.43,-40.50]
gif = Cpf(dn=dn)
gif.path_save='https://raw.githubusercontent.com/reinanbr/noaawc/main/tests_gifs/surface_temp/CMRmap_test_spin_temp_surface.gif'
gif.key_noaa = 'tmpsfc'
gif.title='temperatura da superficie'
gif.point_init=point_init
gif.point_end=point_jua
gif.lon_stop=-39
gif.annotate_loc_txt = '. Nova York: %(data)sºC'
gif.color_annote_loc = 'white'
gif.cmap = 'CMRmap'
gif.annotate_loc_pos:tuple = (40.776676,-73.971321) # point for write a text
gif.annotate_loc_txt = '. Nova York: %(data)sºC' # text for write in the plot
gif.color_annote_loc = 'white' # color of text
gif.tracing()
gif.render()
zoom on a focus
from noaawc.animate import Create_plot_gif as Cpf
from noawclg.main import get_noaa_data as gnd
dn = gnd()
gif = Cpf(dn=dn)
gif.path_save='tests_gifs/test_zoom_focus_temp_surface.gif'
gif.key_noaa = 'tmpsfc'
gif.title='temperatura da superficie'
gif.loc_focus= point_jua
gif.zoom = (4,-4,-.5,6) # xl,xr,yu,yd for zoom
gif.annotate_focus_txt = '. Juazeiro: %(data)sºC' # write text on focus point
gif.annotate_loc_txt = '. Nova York: %(data)sºC'
gif.tracing()
gif.render()
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