diff --git a/README.html b/README.html index b54b1ed..83e36b0 100644 --- a/README.html +++ b/README.html @@ -80,7 +80,7 @@ - + @@ -811,7 +811,7 @@

Running on Your Own Machine

- Last updated on 14 June 2024. + Last updated on 17 June 2024.

@@ -865,7 +865,7 @@

Running on Your Own Machine

  • lat
    PandasIndex
    PandasIndex(Index([20.5, 21.5, 22.5, 23.5, 24.5, 25.5, 26.5, 27.5, 28.5, 29.5, 30.5, 31.5,
    +      dtype='float64', name='lon'))
  • lat
    PandasIndex
    PandasIndex(Index([20.5, 21.5, 22.5, 23.5, 24.5, 25.5, 26.5, 27.5, 28.5, 29.5, 30.5, 31.5,
            32.5, 33.5, 34.5, 35.5, 36.5, 37.5, 38.5, 39.5, 40.5, 41.5, 42.5, 43.5,
            44.5, 45.5, 46.5, 47.5, 48.5, 49.5, 50.5, 51.5, 52.5, 53.5, 54.5, 55.5,
            56.5, 57.5, 58.5, 59.5, 60.5],
    -      dtype='float64', name='lat'))
  • lev
    PandasIndex
    PandasIndex(Index([1000.0,  975.0,  950.0,  925.0,  900.0,  875.0,  850.0,  825.0,  800.0,
    +      dtype='float64', name='lat'))
  • lev
    PandasIndex
    PandasIndex(Index([1000.0,  975.0,  950.0,  925.0,  900.0,  875.0,  850.0,  825.0,  800.0,
             775.0,  750.0,  725.0,  700.0,  650.0,  600.0,  550.0,  500.0,  450.0,
             400.0,  350.0,  300.0,  250.0,  200.0],
    -      dtype='float64', name='lev'))
  • CDI :
    Climate Data Interface version 1.9.8 (https://mpimet.mpg.de/cdi)
    Conventions :
    CF-1
    History :
    Original file generated: Tue Jun 18 21:47:49 2019 GMT
    Comment :
    GMAO filename: d5124_m2_jan10.inst3_3d_asm_Np.20190608.nc4
    Filename :
    MERRA2_400.inst3_3d_asm_Np.20190608.nc4
    Institution :
    NASA Global Modeling and Assimilation Office
    References :
    http://gmao.gsfc.nasa.gov
    Format :
    NetCDF-4/HDF-5
    SpatialCoverage :
    global
    VersionID :
    5.12.4
    TemporalRange :
    1980-01-01 -> 2016-12-31
    identifier_product_doi_authority :
    http://dx.doi.org/
    ShortName :
    M2I3NPASM
    GranuleID :
    MERRA2_400.inst3_3d_asm_Np.20190608.nc4
    ProductionDateTime :
    Original file generated: Tue Jun 18 21:47:49 2019 GMT
    LongName :
    MERRA2 inst3_3d_asm_Np: 3d,3-Hourly,Instantaneous,Pressure-Level,Assimilation,Assimilated Meteorological Fields
    Title :
    MERRA2 inst3_3d_asm_Np: 3d,3-Hourly,Instantaneous,Pressure-Level,Assimilation,Assimilated Meteorological Fields
    SouthernmostLatitude :
    -90.0
    NorthernmostLatitude :
    90.0
    WesternmostLongitude :
    -180.0
    EasternmostLongitude :
    179.375
    LatitudeResolution :
    0.5
    LongitudeResolution :
    0.625
    DataResolution :
    0.5 x 0.625 (42 pressure levels)
    Contact :
    http://gmao.gsfc.nasa.gov
    identifier_product_doi :
    10.5067/QBZ6MG944HW0
    RangeBeginningDate :
    2019-06-08
    RangeBeginningTime :
    00:00:00.000000
    RangeEndingDate :
    2019-06-08
    RangeEndingTime :
    21:00:00.000000
    history_L34RS :
    'Created by L34RS v1.4.3 @ NASA GES DISC on April 29 2023 20:47:34. Regrid: remapcon GLDAS-2_1. Levels: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23. Variables: H OMEGA PS QV SLP T U V'
    CDO :
    Climate Data Operators version 1.9.8 (https://mpimet.mpg.de/cdo)
    cdo_openmp_thread_number :
    12
  • + dtype='float64', name='lev'))
  • CDI :
    Climate Data Interface version 1.9.8 (https://mpimet.mpg.de/cdi)
    Conventions :
    CF-1
    History :
    Original file generated: Tue Jun 18 21:47:49 2019 GMT
    Comment :
    GMAO filename: d5124_m2_jan10.inst3_3d_asm_Np.20190608.nc4
    Filename :
    MERRA2_400.inst3_3d_asm_Np.20190608.nc4
    Institution :
    NASA Global Modeling and Assimilation Office
    References :
    http://gmao.gsfc.nasa.gov
    Format :
    NetCDF-4/HDF-5
    SpatialCoverage :
    global
    VersionID :
    5.12.4
    TemporalRange :
    1980-01-01 -> 2016-12-31
    identifier_product_doi_authority :
    http://dx.doi.org/
    ShortName :
    M2I3NPASM
    GranuleID :
    MERRA2_400.inst3_3d_asm_Np.20190608.nc4
    ProductionDateTime :
    Original file generated: Tue Jun 18 21:47:49 2019 GMT
    LongName :
    MERRA2 inst3_3d_asm_Np: 3d,3-Hourly,Instantaneous,Pressure-Level,Assimilation,Assimilated Meteorological Fields
    Title :
    MERRA2 inst3_3d_asm_Np: 3d,3-Hourly,Instantaneous,Pressure-Level,Assimilation,Assimilated Meteorological Fields
    SouthernmostLatitude :
    -90.0
    NorthernmostLatitude :
    90.0
    WesternmostLongitude :
    -180.0
    EasternmostLongitude :
    179.375
    LatitudeResolution :
    0.5
    LongitudeResolution :
    0.625
    DataResolution :
    0.5 x 0.625 (42 pressure levels)
    Contact :
    http://gmao.gsfc.nasa.gov
    identifier_product_doi :
    10.5067/QBZ6MG944HW0
    RangeBeginningDate :
    2019-06-08
    RangeBeginningTime :
    00:00:00.000000
    RangeEndingDate :
    2019-06-08
    RangeEndingTime :
    21:00:00.000000
    history_L34RS :
    'Created by L34RS v1.4.3 @ NASA GES DISC on April 29 2023 20:47:34. Regrid: remapcon GLDAS-2_1. Levels: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23. Variables: H OMEGA PS QV SLP T U V'
    CDO :
    Climate Data Operators version 1.9.8 (https://mpimet.mpg.de/cdo)
    cdo_openmp_thread_number :
    12
  • @@ -1748,7 +1748,7 @@

    Most-Unstable Convective Available Potential Energy (MUCAPE) - + @@ -861,19 +861,19 @@

    Total Column Precipitable Water (TCPW) @@ -757,7 +757,7 @@

    Convective Calculations diff --git a/notebooks/convective/miller_composite.html b/notebooks/convective/miller_composite.html index 7fd107b..0cc3f3d 100644 --- a/notebooks/convective/miller_composite.html +++ b/notebooks/convective/miller_composite.html @@ -79,7 +79,7 @@ - + @@ -591,9 +591,9 @@

    Miller Composite Chart diff --git a/notebooks/declarative/Declarative_300hPa.html b/notebooks/declarative/Declarative_300hPa.html index 3853219..4920668 100644 --- a/notebooks/declarative/Declarative_300hPa.html +++ b/notebooks/declarative/Declarative_300hPa.html @@ -79,7 +79,7 @@ - + @@ -885,7 +885,7 @@

    Declarative Plot

    - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    @@ -939,7 +939,7 @@

    Declarative Plot - + @@ -842,7 +842,7 @@

    The Plot @@ -896,7 +896,7 @@

    The Plot By MetPy Maintainers. - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    diff --git a/notebooks/declarative/index.html b/notebooks/declarative/index.html index 81ee562..2ded1b6 100644 --- a/notebooks/declarative/index.html +++ b/notebooks/declarative/index.html @@ -79,7 +79,7 @@ - + @@ -703,7 +703,7 @@

    MetPy’s Simplified Plotting Interface

    - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    @@ -757,7 +757,7 @@

    MetPy’s Simplified Plotting Interface - + @@ -879,7 +879,7 @@

    Create Sounding Plot

    - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    @@ -933,7 +933,7 @@

    Create Sounding Plot diff --git a/notebooks/skewt/Foundational_Sounding.html b/notebooks/skewt/Foundational_Sounding.html index dbdf9ef..35f3ce5 100644 --- a/notebooks/skewt/Foundational_Sounding.html +++ b/notebooks/skewt/Foundational_Sounding.html @@ -81,7 +81,7 @@ - + @@ -1182,7 +1182,7 @@

    Resources and references

    - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    @@ -1236,7 +1236,7 @@

    Resources and references - + @@ -973,7 +973,7 @@

    Create Sounding Plot

    - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    @@ -1027,7 +1027,7 @@

    Create Sounding Plot diff --git a/notebooks/skewt/Skew-T_Hodograph_Inset.html b/notebooks/skewt/Skew-T_Hodograph_Inset.html index a144f6a..fdba9ca 100644 --- a/notebooks/skewt/Skew-T_Hodograph_Inset.html +++ b/notebooks/skewt/Skew-T_Hodograph_Inset.html @@ -79,7 +79,7 @@ - + @@ -854,7 +854,7 @@

    Assign Units

    - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    @@ -908,7 +908,7 @@

    Assign Units - + @@ -860,7 +860,7 @@

    Create Sounding Plot

    - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    @@ -914,7 +914,7 @@

    Create Sounding Plot diff --git a/notebooks/skewt/Sounding_Calculations.html b/notebooks/skewt/Sounding_Calculations.html index afac7c8..5034a8b 100644 --- a/notebooks/skewt/Sounding_Calculations.html +++ b/notebooks/skewt/Sounding_Calculations.html @@ -79,7 +79,7 @@ - + @@ -1066,7 +1066,7 @@

    Assign Units

    - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    @@ -1120,7 +1120,7 @@

    Assign Units - + @@ -873,7 +873,7 @@

    Assign Units @@ -1269,7 +1269,7 @@

    Create Sounding Plot

    - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    @@ -1323,7 +1323,7 @@

    Create Sounding Plot diff --git a/notebooks/skewt/Sounding_Plotter.html b/notebooks/skewt/Sounding_Plotter.html index 68a2cf0..398a636 100644 --- a/notebooks/skewt/Sounding_Plotter.html +++ b/notebooks/skewt/Sounding_Plotter.html @@ -79,7 +79,7 @@ - + @@ -973,7 +973,7 @@

    Imports

    - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    @@ -1027,7 +1027,7 @@

    Imports diff --git a/notebooks/skewt/index.html b/notebooks/skewt/index.html index de668e7..ad9f7fb 100644 --- a/notebooks/skewt/index.html +++ b/notebooks/skewt/index.html @@ -81,7 +81,7 @@ - + @@ -711,7 +711,7 @@

    Skew-T Analysis

    - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    @@ -765,7 +765,7 @@

    Skew-T Analysis - + @@ -576,7 +576,7 @@

    Make the Hovmoller Plot -../../_images/e0aaa611a5538ab5c1db36d423e044d63f4d43a86f82d2eebed9c7ec50781bef.png +../../_images/74284397c671a11081be3acfffbbbbfa3cde331af1222f6a4cdbff91329b3005.png @@ -891,7 +891,7 @@

    Make the Hovmoller Plot

    - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    @@ -945,7 +945,7 @@

    Make the Hovmoller Plot diff --git a/notebooks/specialty/Observational_Data_Cross_Section.html b/notebooks/specialty/Observational_Data_Cross_Section.html index a11f208..6d043c9 100644 --- a/notebooks/specialty/Observational_Data_Cross_Section.html +++ b/notebooks/specialty/Observational_Data_Cross_Section.html @@ -79,7 +79,7 @@ - + @@ -716,7 +716,7 @@

    Get Radiosonde Data 495 text)) 496 return resp -HTTPError: Error accessing http://weather.uwyo.edu/cgi-bin/sounding/?region=naconf&TYPE=TEXT%3ALIST&YEAR=2019&MONTH=06&FROM=0100&TO=0100&STNM=OAX +HTTPError: Error accessing http://weather.uwyo.edu/cgi-bin/sounding/?region=naconf&TYPE=TEXT%3ALIST&YEAR=2019&MONTH=06&FROM=0100&TO=0100&STNM=DNR Server Error (503: Sorry, the server is too busy to process your request. Please try again later. ) @@ -742,14 +742,15 @@

    Create Interpolated fieldsCell In[6], line 1 ----> 1 xsect = radiosonde_cross_section(stn_list, df) -Cell In[3], line 68, in radiosonde_cross_section(stns, data, start, end, step) - 66 for station, loc in zip(stns, range(nstns)): - 67 if key == 'pressure': ----> 68 lats.append(data[station].latitude[0]) - 69 lons.append(data[station].longitude[0]) - 70 elev.append(data[station].elevation[0]) +Cell In[3], line 59, in radiosonde_cross_section(stns, data, start, end, step) + 57 lons = [] + 58 elev = [] +---> 59 keys = data[stns[0]].keys()[:8] + 60 tmp_grid = dict.fromkeys(keys) + 62 # Interpolate all variables for each radiosonde observation + 63 # Temperature, Dewpoint, U-wind, V-wind -KeyError: 'OAX' +KeyError: 'DNR' @@ -1185,7 +1186,7 @@

    Plot Cross Section

    - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    @@ -1239,7 +1240,7 @@

    Plot Cross Section - + @@ -583,7 +583,7 @@

    Smoothing Contours -../../_images/2631dee4c1b67eaaa29e6f22582cb547b5bc9aefee98b6d362bd7177bee30d28.png +../../_images/ae98c2ae6352f515ce2798b9e3f6917815408dbe8b3b1951d116fd2313b8062e.png @@ -879,7 +879,7 @@

    Smoothing Contours

    - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    @@ -933,7 +933,7 @@

    Smoothing Contours - + @@ -703,7 +703,7 @@

    Specialty Plotting

    - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    @@ -757,7 +757,7 @@

    Specialty Plotting - + @@ -576,11 +576,11 @@

    A 250-hPa Hemispheric Map using Python -
    /tmp/ipykernel_2815/1982158916.py:30: MatplotlibDeprecationWarning: The get_cmap function was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap(obj)`` instead.
    +
    /tmp/ipykernel_2836/1982158916.py:30: MatplotlibDeprecationWarning: The get_cmap function was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap(obj)`` instead.
       cmap = plt.cm.get_cmap('BuPu')
     
    -../../_images/8ad1f2e137bed0ef42e4018d4e3ee81ebe554aeef585a58694d0544b35da31ed.png +../../_images/a8b087c1ac90eace35a8166a6f969edf22727838c5d1b7074e4ff633853fc018.png
    @@ -876,7 +876,7 @@

    A 250-hPa Hemispheric Map using Python

    - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    @@ -930,7 +930,7 @@

    A 250-hPa Hemispheric Map using Python - + @@ -657,7 +657,7 @@

    Map Creation
    Text(1.0, 1.0, 'Valid Time: 2016-10-31 12:00:00')
     
    -../../_images/bc8bba4565a06490278c04e332a46216117fbcbcc2109fb150e142e6233168eb.png +../../_images/d17b04532f3a15b3775f5395cbaa54b580ad684c8ec65ca03c42739480bc7df9.png @@ -974,7 +974,7 @@

    Map Creation

    - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    @@ -1028,7 +1028,7 @@

    Map Creation - + @@ -578,7 +578,7 @@

    Begin Data Calculations diff --git a/notebooks/synoptic/850hPa_QVectors.html b/notebooks/synoptic/850hPa_QVectors.html index 44a45c0..c7225e3 100644 --- a/notebooks/synoptic/850hPa_QVectors.html +++ b/notebooks/synoptic/850hPa_QVectors.html @@ -79,7 +79,7 @@ - + @@ -584,7 +584,7 @@

    Plot Data
    Text(1.0, 1.0, 'Valid Time: 2010-10-26 12:00:00')
     
    -../../_images/61b814adbe3517c41496130b38e00b4819e8c3100898c1be06f84579e5406661.png +../../_images/083cc9e0675a45163c6de5ba8c134a3cb16deb48d920e0f78dbb7c844f9e5eee.png @@ -899,7 +899,7 @@

    Plot Data

    - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    @@ -953,7 +953,7 @@

    Plot Data - + @@ -533,7 +533,7 @@

    Begin data calculations @@ -880,7 +880,7 @@

    Geostrophic and Ageostrophic Wind

    - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    @@ -934,7 +934,7 @@

    Geostrophic and Ageostrophic Wind - + @@ -921,7 +921,7 @@

    Analytic 300-hPa Trough

    - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    @@ -975,7 +975,7 @@

    Analytic 300-hPa Trough diff --git a/notebooks/synoptic/Differential_Temperature_Advection.html b/notebooks/synoptic/Differential_Temperature_Advection.html index a79d51b..d929c35 100644 --- a/notebooks/synoptic/Differential_Temperature_Advection.html +++ b/notebooks/synoptic/Differential_Temperature_Advection.html @@ -79,7 +79,7 @@ - + @@ -528,9 +528,9 @@

    Differential Temperature Advection Calculation - @@ -1011,7 +1011,7 @@

    Make Four Panel Plot

    - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    @@ -1065,7 +1065,7 @@

    Make Four Panel Plot diff --git a/notebooks/synoptic/Geostrophic_Wind_And_Few_More.html b/notebooks/synoptic/Geostrophic_Wind_And_Few_More.html index 49a9bf9..a49d649 100644 --- a/notebooks/synoptic/Geostrophic_Wind_And_Few_More.html +++ b/notebooks/synoptic/Geostrophic_Wind_And_Few_More.html @@ -79,7 +79,7 @@ - + @@ -455,7 +455,7 @@

    Geostrophic Wind and Other Calcuations -
    /tmp/ipykernel_3061/2639708157.py:10: DeprecationWarning: Please import `gaussian_filter` from the `scipy.ndimage` namespace; the `scipy.ndimage.filters` namespace is deprecated and will be removed in SciPy 2.0.0.
    +
    /tmp/ipykernel_3091/2639708157.py:10: DeprecationWarning: Please import `gaussian_filter` from the `scipy.ndimage` namespace; the `scipy.ndimage.filters` namespace is deprecated and will be removed in SciPy 2.0.0.
       from scipy.ndimage.filters import gaussian_filter
     
    @@ -869,19 +869,19 @@

    Geostrophic Wind and Other Calcuations @@ -938,7 +938,7 @@

    Map Creation

    - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    @@ -992,7 +992,7 @@

    Map Creation - + @@ -463,6 +463,7 @@

    DIFAX Replicationimport numpy as np import xarray as xr +from metpy.io import add_station_lat_lon from metpy.plots import StationPlot from metpy.units import units from siphon.simplewebservice.iastate import IAStateUpperAir @@ -540,107 +541,6 @@

    Plotting High/Low Symbols -

    Station Information

    -

    A helper function for obtaining radiosonde station information (e.g., -latitude/longitude) requried to plot data obtained from each station. -Original code by github user sgdecker.

    -
    -
    -
    def station_info(stid):
    -    r"""Provide information about weather stations.
    -
    -    Parameters
    -    ----------
    -    stid: str or iterable object containing strs
    -         The ICAO or IATA code(s) for which station information is requested.
    -    with_units: bool
    -         Whether to include units for values that have them. Default True.
    -
    -    Returns
    -    -------
    -    info: dict
    -         Information about the station(s) within a dictionary with these keys:
    -             'state': Two-character ID of the state/province where the station is located,
    -                       if applicable
    -             'name': The name of the station
    -             'lat': The latitude of the station [deg]
    -             'lon': The longitude of the station [deg]
    -             'elevation': The elevation of the station [m]
    -             'country': Two-character ID of the country where the station is located
    -
    -    Modified code from Steven Decker, Rutgers University
    -
    -    """
    -    # Provide a helper function for later usage
    -    def str2latlon(s):
    -        deg = float(s[:3])
    -        mn = float(s[-3:-1])
    -        if s[-1] == 'S' or s[-1] == 'W':
    -            deg = -deg
    -            mn = -mn
    -        return deg + mn / 60.
    -
    -    # Various constants describing the underlying data
    -    url = 'https://www.aviationweather.gov/docs/metar/stations.txt'
    -    # file = 'stations.txt'
    -    state_bnds = slice(0, 2)
    -    name_bnds = slice(3, 19)
    -    icao_bnds = slice(20, 24)
    -    iata_bnds = slice(26, 29)
    -    lat_bnds = slice(39, 45)
    -    lon_bnds = slice(47, 54)
    -    z_bnds = slice(55, 59)
    -    cntry_bnds = slice(81, 83)
    -
    -    # Generalize to any number of IDs
    -    if isinstance(stid, str):
    -        stid = [stid]
    -
    -    # Get the station dataset
    -    infile = urllib.request.urlopen(url)
    -    data = infile.readlines()
    -
    -    state = []
    -    name = []
    -    lat = []
    -    lon = []
    -    z = []
    -    cntry = []
    -
    -    for s in stid:
    -        s = s.upper()
    -        for line_bytes in data:
    -            line = line_bytes.decode('UTF-8')
    -            icao = line[icao_bnds]
    -            iata = line[iata_bnds]
    -            if len(s) == 3 and s in iata or len(s) == 4 and s in icao:
    -                state.append(line[state_bnds].strip())
    -                name.append(line[name_bnds].strip())
    -                lat.append(str2latlon(line[lat_bnds]))
    -                lon.append(str2latlon(line[lon_bnds]))
    -                z.append(float(line[z_bnds]))
    -                cntry.append(line[cntry_bnds])
    -
    -                break
    -        else:
    -            state.append('NA')
    -            name.append('NA')
    -            lat.append(np.nan)
    -            lon.append(np.nan)
    -            z.append(np.nan)
    -            cntry.append('NA')
    -
    -    infile.close()
    -
    -    return {'state': np.array(state), 'name': np.array(name), 'lat': np.array(lat),
    -            'lon': np.array(lon), 'elevation': np.array(z), 'country': np.array(cntry),
    -            'units': {'lat': 'deg', 'lon': 'deg', 'z': 'm'}}
    -
    -
    -
    -
    -

    Observation Data

    Set a date and time for upper-air observations (should only be 00 or 12 @@ -693,65 +593,33 @@

    Subset Observational Datadf = data[data_subset] # Get station lat/lon from look-up file; add to Dataframe -stn_info = station_info(list(df.station.values)) -df.insert(10, 'latitude', stn_info['lat']) -df.insert(11, 'longitude', stn_info['lon']) +df = add_station_lat_lon(df)

    -
    ---------------------------------------------------------------------------
    -HTTPError                                 Traceback (most recent call last)
    -Cell In[5], line 21
    -     18 df = data[data_subset]
    -     20 # Get station lat/lon from look-up file; add to Dataframe
    ----> 21 stn_info = station_info(list(df.station.values))
    -     22 df.insert(10, 'latitude', stn_info['lat'])
    -     23 df.insert(11, 'longitude', stn_info['lon'])
    -
    -Cell In[3], line 52, in station_info(stid)
    -     49     stid = [stid]
    -     51 # Get the station dataset
    ----> 52 infile = urllib.request.urlopen(url)
    -     53 data = infile.readlines()
    -     55 state = []
    -
    -File ~/miniconda3/envs/cookbook-dev/lib/python3.10/urllib/request.py:216, in urlopen(url, data, timeout, cafile, capath, cadefault, context)
    -    214 else:
    -    215     opener = _opener
    ---> 216 return opener.open(url, data, timeout)
    -
    -File ~/miniconda3/envs/cookbook-dev/lib/python3.10/urllib/request.py:525, in OpenerDirector.open(self, fullurl, data, timeout)
    -    523 for processor in self.process_response.get(protocol, []):
    -    524     meth = getattr(processor, meth_name)
    ---> 525     response = meth(req, response)
    -    527 return response
    -
    -File ~/miniconda3/envs/cookbook-dev/lib/python3.10/urllib/request.py:634, in HTTPErrorProcessor.http_response(self, request, response)
    -    631 # According to RFC 2616, "2xx" code indicates that the client's
    -    632 # request was successfully received, understood, and accepted.
    -    633 if not (200 <= code < 300):
    ---> 634     response = self.parent.error(
    -    635         'http', request, response, code, msg, hdrs)
    -    637 return response
    -
    -File ~/miniconda3/envs/cookbook-dev/lib/python3.10/urllib/request.py:563, in OpenerDirector.error(self, proto, *args)
    -    561 if http_err:
    -    562     args = (dict, 'default', 'http_error_default') + orig_args
    ---> 563     return self._call_chain(*args)
    -
    -File ~/miniconda3/envs/cookbook-dev/lib/python3.10/urllib/request.py:496, in OpenerDirector._call_chain(self, chain, kind, meth_name, *args)
    -    494 for handler in handlers:
    -    495     func = getattr(handler, meth_name)
    ---> 496     result = func(*args)
    -    497     if result is not None:
    -    498         return result
    -
    -File ~/miniconda3/envs/cookbook-dev/lib/python3.10/urllib/request.py:643, in HTTPDefaultErrorHandler.http_error_default(self, req, fp, code, msg, hdrs)
    -    642 def http_error_default(self, req, fp, code, msg, hdrs):
    ---> 643     raise HTTPError(req.full_url, code, msg, hdrs, fp)
    -
    -HTTPError: HTTP Error 308: Permanent Redirect
    +
    /home/runner/miniconda3/envs/cookbook-dev/lib/python3.10/site-packages/metpy/io/station_data.py:194: SettingWithCopyWarning: 
    +A value is trying to be set on a copy of a slice from a DataFrame.
    +Try using .loc[row_indexer,col_indexer] = value instead
    +
    +See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
    +  df['latitude'] = np.nan
    +/home/runner/miniconda3/envs/cookbook-dev/lib/python3.10/site-packages/metpy/io/station_data.py:195: SettingWithCopyWarning: 
    +A value is trying to be set on a copy of a slice from a DataFrame.
    +Try using .loc[row_indexer,col_indexer] = value instead
    +
    +See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
    +  df['longitude'] = np.nan
    +Downloading file 'sfstns.tbl' from 'https://github.com/Unidata/MetPy/raw/v1.6.2/staticdata/sfstns.tbl' to '/home/runner/.cache/metpy/v1.6.2'.
    +
    +
    +
    Downloading file 'master.txt' from 'https://github.com/Unidata/MetPy/raw/v1.6.2/staticdata/master.txt' to '/home/runner/.cache/metpy/v1.6.2'.
    +
    +
    +
    Downloading file 'stations.txt' from 'https://github.com/Unidata/MetPy/raw/v1.6.2/staticdata/stations.txt' to '/home/runner/.cache/metpy/v1.6.2'.
    +
    +
    +
    Downloading file 'airport-codes.csv' from 'https://github.com/Unidata/MetPy/raw/v1.6.2/staticdata/airport-codes.csv' to '/home/runner/.cache/metpy/v1.6.2'.
     
    @@ -889,58 +757,11 @@

    Create DIFAX Replication -
    ---------------------------------------------------------------------------
    -KeyError                                  Traceback (most recent call last)
    -File ~/miniconda3/envs/cookbook-dev/lib/python3.10/site-packages/pandas/core/indexes/base.py:3805, in Index.get_loc(self, key)
    -   3804 try:
    --> 3805     return self._engine.get_loc(casted_key)
    -   3806 except KeyError as err:
    -
    -File index.pyx:167, in pandas._libs.index.IndexEngine.get_loc()
    -
    -File index.pyx:196, in pandas._libs.index.IndexEngine.get_loc()
    -
    -File pandas/_libs/hashtable_class_helper.pxi:7081, in pandas._libs.hashtable.PyObjectHashTable.get_item()
    -
    -File pandas/_libs/hashtable_class_helper.pxi:7089, in pandas._libs.hashtable.PyObjectHashTable.get_item()
    -
    -KeyError: 'longitude'
    -
    -The above exception was the direct cause of the following exception:
    -
    -KeyError                                  Traceback (most recent call last)
    -Cell In[7], line 7
    -      2 mapcrs = ccrs.LambertConformal(
    -      3     central_latitude=45, central_longitude=-100, standard_parallels=(30, 60))
    -      5 # Set up station locations for plotting observations
    -      6 point_locs = mapcrs.transform_points(
    -----> 7     ccrs.PlateCarree(), df['longitude'].values, df['latitude'].values)
    -      9 # Start figure and set graphics extent
    -     10 fig = plt.figure(1, figsize=(17, 15))
    -
    -File ~/miniconda3/envs/cookbook-dev/lib/python3.10/site-packages/pandas/core/frame.py:4102, in DataFrame.__getitem__(self, key)
    -   4100 if self.columns.nlevels > 1:
    -   4101     return self._getitem_multilevel(key)
    --> 4102 indexer = self.columns.get_loc(key)
    -   4103 if is_integer(indexer):
    -   4104     indexer = [indexer]
    -
    -File ~/miniconda3/envs/cookbook-dev/lib/python3.10/site-packages/pandas/core/indexes/base.py:3812, in Index.get_loc(self, key)
    -   3807     if isinstance(casted_key, slice) or (
    -   3808         isinstance(casted_key, abc.Iterable)
    -   3809         and any(isinstance(x, slice) for x in casted_key)
    -   3810     ):
    -   3811         raise InvalidIndexError(key)
    --> 3812     raise KeyError(key) from err
    -   3813 except TypeError:
    -   3814     # If we have a listlike key, _check_indexing_error will raise
    -   3815     #  InvalidIndexError. Otherwise we fall through and re-raise
    -   3816     #  the TypeError.
    -   3817     self._check_indexing_error(key)
    -
    -KeyError: 'longitude'
    +
    /tmp/ipykernel_3174/1340384606.py:75: MatplotlibDeprecationWarning: The collections attribute was deprecated in Matplotlib 3.8 and will be removed two minor releases later.
    +  for c in cs2.collections:
     
    +../../_images/b7b1fa5f55719a06f0d4a4445b6aede398a750d4aa7a1d388b1897332cae1bae.png
    @@ -1012,7 +833,6 @@

    Create DIFAX Replication

    @@ -1313,7 +1133,7 @@

    Create DIFAX Replication - + @@ -634,15 +634,15 @@

    Data Manipulation -
    /tmp/ipykernel_3163/1356670571.py:43: MatplotlibDeprecationWarning: The legendHandles attribute was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use legend_handles instead.
    +
    /tmp/ipykernel_3202/1356670571.py:43: MatplotlibDeprecationWarning: The legendHandles attribute was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use legend_handles instead.
       legend.legendHandles[0].set_color('gold')
    -/tmp/ipykernel_3163/1356670571.py:44: MatplotlibDeprecationWarning: The legendHandles attribute was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use legend_handles instead.
    +/tmp/ipykernel_3202/1356670571.py:44: MatplotlibDeprecationWarning: The legendHandles attribute was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use legend_handles instead.
       legend.legendHandles[1].set_color('cornflowerblue')
    -/tmp/ipykernel_3163/1356670571.py:45: MatplotlibDeprecationWarning: The legendHandles attribute was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use legend_handles instead.
    +/tmp/ipykernel_3202/1356670571.py:45: MatplotlibDeprecationWarning: The legendHandles attribute was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use legend_handles instead.
       legend.legendHandles[2].set_color('deeppink')
     
    -../../_images/1b6907890c8dc707c053dff0835c2eeb2d1081b77e0b9f2af4531d86b667cd58.png +../../_images/4b5e92bd89f47ea5c6231c64412d03e7fb8e77137e0711ad4744e4cf1c450309.png
    @@ -960,7 +960,7 @@

    Data Manipulation

    - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    @@ -1014,7 +1014,7 @@

    Data Manipulation - + @@ -703,7 +703,7 @@

    Synoptic Analysis

    - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    @@ -757,7 +757,7 @@

    Synoptic Analysis - + @@ -564,7 +564,7 @@

    Now make the 500-hPa map -../../_images/1b1d71f0a3f3d68dffa28a138d763b0cefc089e18514f1803f2338e46022c07c.png +../../_images/8ac54e42a024d54f6ce4a969cd2af48ba6bafc133f812c9010e981cb60a81432.png @@ -879,7 +879,7 @@

    Now make the 500-hPa map

    - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    @@ -933,7 +933,7 @@

    Now make the 500-hPa map - + @@ -625,7 +625,7 @@

    Search

    @@ -679,7 +679,7 @@

    Search

    By MetPy Maintainers. - Last updated on 14 June 2024. + Last updated on 17 June 2024.

    diff --git a/searchindex.js b/searchindex.js index 94842f4..7fb8191 100644 --- a/searchindex.js +++ b/searchindex.js @@ -1 +1 @@ -Search.setIndex({"alltitles": {"500 hPa Geopotential Heights, Absolute Vorticity, and Winds": [[22, "hpa-geopotential-heights-absolute-vorticity-and-winds"]], "500 hPa Vorticity Advection": [[23, "hpa-vorticity-advection"]], "850 hPa Temperature Advection": [[26, "hpa-temperature-advection"]], "850-hPa Geopotential Heights, Temperature, Frontogenesis, and Winds": [[24, "hpa-geopotential-heights-temperature-frontogenesis-and-winds"]], "A 250-hPa Hemispheric Map using Python": [[21, "a-250-hpa-hemispheric-map-using-python"]], "Accessing data using Xarray": [[36, "accessing-data-using-xarray"]], "Advanced Sounding": [[8, "advanced-sounding"]], "Analytic 300-hPa Trough": [[28, "analytic-300-hpa-trough"]], "Assign Units": [[8, "assign-units"], [9, "assign-units"], [10, "assign-units"], [11, "assign-units"], [12, "assign-units"], [13, "assign-units"], [14, "assign-units"]], "Authors": [[0, "authors"]], "Baroclinic Potential Vorticity Analysis, Divergence, and Winds": [[32, "baroclinic-potential-vorticity-analysis-divergence-and-winds"]], "Begin Data Calculations": [[23, "begin-data-calculations"]], "Begin data calculations": [[26, "begin-data-calculations"]], "Begin map creation": [[26, "begin-map-creation"]], "Calculate Variable and Add to Dataset": [[5, "calculate-variable-and-add-to-dataset"]], "Calculate Variables for Plotting": [[18, "calculate-variables-for-plotting"]], "Calculate frontogenesis": [[24, "calculate-frontogenesis"]], "Calculating Wind Shear": [[34, "calculating-wind-shear"]], "Compute Q-vectors": [[25, "compute-q-vectors"]], "Contour Intervals": [[6, "contour-intervals"]], "Contributors": [[0, "contributors"]], "Convective Calculations": [[3, "convective-calculations"]], "Create DIFAX Replication": [[33, "create-difax-replication"]], "Create Interpolated fields": [[18, "create-interpolated-fields"]], "Create NCSS object to access the NetcdfSubset": [[26, "create-ncss-object-to-access-the-netcdfsubset"]], "Create Sounding Plot": [[8, "create-sounding-plot"], [9, "create-sounding-plot"], [10, "create-sounding-plot"], [12, "create-sounding-plot"], [14, "create-sounding-plot"]], "DIFAX Replication": [[33, "difax-replication"]], "Data Aquisition": [[23, "data-aquisition"]], "Data Input": [[29, "data-input"]], "Data Manipulation": [[34, "data-manipulation"]], "Data Retrieval": [[22, "data-retrieval"], [32, "data-retrieval"]], "Declarative 500-hPa Absolute Vorticity": [[6, "declarative-500-hpa-absolute-vorticity"]], "Declarative Plot": [[5, "declarative-plot"]], "Differential Temperature Advection Calculation": [[29, "differential-temperature-advection-calculation"]], "Differential Temperature Advection with NARR Data": [[29, "differential-temperature-advection-with-narr-data"]], "First Query for MSLP": [[34, "first-query-for-mslp"]], "Function to Compute Earth-Relative Winds": [[22, "function-to-compute-earth-relative-winds"], [23, "function-to-compute-earth-relative-winds"]], "Geostrophic Wind and Other Calcuations": [[30, "geostrophic-wind-and-other-calcuations"]], "Geostrophic and Ageostrophic Wind": [[27, "geostrophic-and-ageostrophic-wind"]], "Get Radiosonde Data": [[18, "get-radiosonde-data"]], "Get the data": [[17, "get-the-data"]], "Gridded Data": [[33, "gridded-data"]], "Hodograph Inset": [[11, "hodograph-inset"]], "Hovmoller Diagram Example": [[17, "hovmoller-diagram-example"]], "Import necessary packages": [[34, "import-necessary-packages"]], "Imports": [[8, "imports"], [9, "imports"], [10, "imports"], [11, "imports"], [12, "imports"], [13, "imports"], [14, "imports"], [15, "imports"]], "Isentropic Analysis": [[31, "isentropic-analysis"]], "Let\u2019s Unpack the the Previous Code Cell": [[9, "lets-unpack-the-the-previous-code-cell"]], "Make Four Panel Plot": [[29, "make-four-panel-plot"]], "Make the Hovmoller Plot": [[17, "make-the-hovmoller-plot"]], "Map Creation": [[22, "map-creation"], [23, "map-creation"], [32, "map-creation"]], "MetPy Absolute Vorticity Calculation": [[22, "metpy-absolute-vorticity-calculation"]], "MetPy Cookbook": [[0, "metpy-cookbook"]], "MetPy Declarative - 300 hPa": [[5, "metpy-declarative-300-hpa"]], "MetPy Skew-T Cookbook": [[9, "metpy-skew-t-cookbook"]], "MetPy\u2019s Simplified Plotting Interface": [[7, "metpys-simplified-plotting-interface"]], "Miller Composite Chart": [[4, "miller-composite-chart"]], "Most-Unstable Convective Available Potential Energy (MUCAPE)": [[1, "most-unstable-convective-available-potential-energy-mucape"]], "Now make the 500-hPa map": [[36, "now-make-the-500-hpa-map"]], "Now, Let\u2019s Improve the Wind Barbs": [[9, "now-lets-improve-the-wind-barbs"]], "Observation Data": [[33, "observation-data"]], "Obtain Data and Format": [[8, "obtain-data-and-format"], [9, "obtain-data-and-format"], [10, "obtain-data-and-format"], [11, "obtain-data-and-format"], [12, "obtain-data-and-format"], [13, "obtain-data-and-format"], [14, "obtain-data-and-format"]], "Obtain data": [[34, "obtain-data"]], "Optional Step": [[9, "optional-step"]], "Overview": [[9, "overview"]], "Plot Cross Section": [[18, "plot-cross-section"]], "Plot Data": [[25, "plot-data"]], "Plotting Frontogenesis": [[24, "plotting-frontogenesis"]], "Plotting High/Low Symbols": [[33, "plotting-high-low-symbols"]], "Prerequisites": [[9, "prerequisites"]], "QVector Example": [[25, "qvector-example"]], "Radiosonde Observation Interpolation Function": [[18, "radiosonde-observation-interpolation-function"]], "Real Data Cross-Section Example": [[18, "real-data-cross-section-example"]], "Resources and references": [[9, "resources-and-references"]], "Running on Binder": [[0, "running-on-binder"]], "Running on Your Own Machine": [[0, "running-on-your-own-machine"]], "Running the Notebooks": [[0, "running-the-notebooks"]], "Second Query for 850-hPa data": [[34, "second-query-for-850-hpa-data"]], "Simple Sounding with MetPy Test Data": [[9, "simple-sounding-with-metpy-test-data"]], "Skew-T Analysis": [[10, "skew-t-analysis"], [16, "skew-t-analysis"]], "Skew-T with Complex Layout": [[12, "skew-t-with-complex-layout"]], "Smoothing Contours": [[19, "smoothing-contours"]], "Sounding Calculation Examples": [[13, "sounding-calculation-examples"]], "Sounding Plotter": [[15, "sounding-plotter"]], "Sounding as Dataset Example": [[14, "sounding-as-dataset-example"]], "Specialty Plotting": [[20, "specialty-plotting"]], "Station Information": [[33, "station-information"]], "Stations and Time": [[18, "stations-and-time"]], "Structure": [[0, "structure"]], "Subset Observational Data": [[33, "subset-observational-data"]], "Synoptic Analysis": [[35, "synoptic-analysis"]], "The MetPy Example Gallery": [[0, "the-metpy-example-gallery"]], "The Plot": [[6, "the-plot"]], "Total Column Precipitable Water (TCPW)": [[2, "total-column-precipitable-water-tcpw"]], "Using Xarray for Data read and 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