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-rw-r--r--skewt.py118
1 files changed, 0 insertions, 118 deletions
diff --git a/skewt.py b/skewt.py
deleted file mode 100644
index e674d09..0000000
--- a/skewt.py
+++ /dev/null
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-import matplotlib.gridspec as gridspec
-import matplotlib.pyplot as plt
-
-import numpy as np
-
-import metpy.calc as mpcalc
-from metpy.cbook import get_test_data
-from metpy.plots import add_metpy_logo, Hodograph, SkewT
-from metpy.units import units
-
-class Skewt:
- def __init__(self, p, T, Td, max_barbs=20, title=None):
- self._p = p
- self._T = T
- self._Td = Td
-
- self._info_lines = []
-
- self.barb_div = int(max(len(p)/max_barbs,1))
-
-
- # Create a new figure. The dimensions here give a good aspect ratio
- self._fig = plt.figure(figsize=(9, 9))
- plt.rcParams["font.family"] = "monospace"
- #self._fig = plt.figure()
-
- if title is not None:
- plt.suptitle(title, x=0, y=0, va='bottom', ha='left')
-
- # Grid for plots
- self._gs = gridspec.GridSpec(3, 3)
- self._skew = SkewT(self._fig, rotation=45, subplot=self._gs[:, :2])
-
- # Plot the data using normal plotting functions, in this case using
- # log scaling in Y, as dictated by the typical meteorological plot
- self._skew.plot(p, T, 'r')
- self._skew.plot(p, Td, 'b')
-
- plt.xlabel('$T$ $[^o C]$')
- plt.ylabel('$p$ $[hPa]$')
-
- def addWindUV(self, u, v):
- self._u = u
- self._v = v
-
- ax = self._fig.add_subplot(self._gs[0, -1])
- h = Hodograph(ax, component_range=max(u + v).magnitude)
- h.add_grid(increment=20)
- h.plot_colormapped(u, v, self._p)
- plt.tight_layout()
- plt.xlabel('$m/s$')
- plt.ylabel('$m/s$')
-
- self._skew.plot_barbs(self._p[::self.barb_div], u[::self.barb_div], v[::self.barb_div])
-
- def addInfo(self, line):
- self._info_lines.append(line)
-
- def addAnalysis(self, analysis='ccl', shade=False):
- f = {'ccl': self._cclAnalysis, 'lcl': self._lclAnalysis}
-
- lvl, parcel = f[analysis]()
-
- self._skew.plot(self._p, parcel, 'y')
- self._skew.plot(lvl[0], lvl[1], 'o', markerfacecolor='red', linewidth=1)
-
- # TODO why exception on cape_cin()?
- # ValueError: zero-size array to reduction operation minimum which has no identity
- # https://github.com/Unidata/MetPy/pull/3132
- try:
- cape, cin = mpcalc.cape_cin(self._p, self._T, self._Td, parcel, which_el='top')
- self.addInfo(f'CAPE {int(cape.magnitude)} $J/kg$ CIN {int(cin.magnitude)} $J/kg$')
- except ValueError:
- print('CAPE/CIN Failed with ValueError')
- self.addInfo('CAPE #### CIN ####')
-
- if shade:
- self._skew.shade_cape(self._p,self._T,parcel)
- self._skew.shade_cin(self._p,self._T,parcel)
-
- def _cclAnalysis(self):
- #p = np.arange(max(self._p).magnitude, min(self._p).magnitude, -50) * units.hPa
-
- ccl = mpcalc.ccl(self._p,self._T,self._Td)
- ccl_ground=mpcalc.dry_lapse(self._p[:1], ccl[1], ccl[0])
- ccl_ground_parcel= mpcalc.parcel_profile(self._p, ccl_ground[0], self._Td[0])
-
- return (ccl, ccl_ground_parcel)
-
- def _lclAnalysis(self):
- ground_parcel= mpcalc.parcel_profile(self._p, self._T[0], self._Td[0])
- lcl = mpcalc.lcl(self._p[0],self._T[0],self._Td[0])
-
- return (lcl, ground_parcel)
-
- def _buildInfoBox(self):
- ax = self._fig.add_subplot(self._gs[1,-1])
- ax.text(0, 0, '\n'.join(self._info_lines), ha='left', va='center',
- size=10, fontfamily='monospace')
- ax.axis("off")
-
- def plot(self, filename=None):
- self._buildInfoBox()
-
- # Add the relevant special lines
- #self._skew.ax.set_ylim(max(self._p), min(self._p))
- self._skew.ax.set_ylim(1000, 100)
- self._skew.plot_dry_adiabats(linewidth=1)
- self._skew.plot_moist_adiabats(linewidth=1)
- self._skew.plot_mixing_lines(linewidth=1)
-
- # Good bounds for aspect ratio
- self._skew.ax.set_xlim(-30, 40)
-
- if filename is not None:
- plt.savefig(filename)
- else:
- plt.show()