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plotting.py
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plotting.py
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import numpy as np
import matplotlib.pyplot as plt
from gpfit.softmax_affine import softmax_affine
from gpfit.max_affine import max_affine
from gassolar.environment.wind_speeds import get_windspeed
import os
import pandas as pd
from scipy import interpolate
def altitude(density):
g = 9.80665 # m/s^2
R = 287.04 # m^2/K/s^2
T11 = 216.65 # K
p11 = 22532 # Pa
p = density*R*T11
h = (11000 - R*T11/g*np.log(p/p11))/0.3048
return h
from math import atan2,degrees
import numpy as np
#Label line with line2D label data
def labelLine(line,x,label=None,align=True,**kwargs):
ax = line.get_axes()
xdata = line.get_xdata()
ydata = line.get_ydata()
if (x < xdata[0]) or (x > xdata[-1]):
print('x label location is outside data range!')
return
#Find corresponding y co-ordinate and angle of the
ip = 1
for i in range(len(xdata)):
if x < xdata[i]:
ip = i
break
y = ydata[ip-1] + (ydata[ip]-ydata[ip-1])*(x-xdata[ip-1])/(xdata[ip]-xdata[ip-1])
if not label:
label = line.get_label()
if align:
#Compute the slope
dx = xdata[ip] - xdata[ip-1]
dy = ydata[ip] - ydata[ip-1]
ang = degrees(atan2(dy,dx))
#Transform to screen co-ordinates
pt = np.array([x,y]).reshape((1,2))
trans_angle = ax.transData.transform_angles(np.array((ang,)),pt)[0]
else:
trans_angle = 0
#Set a bunch of keyword arguments
if 'color' not in kwargs:
kwargs['color'] = line.get_color()
if ('horizontalalignment' not in kwargs) and ('ha' not in kwargs):
kwargs['ha'] = 'center'
if ('verticalalignment' not in kwargs) and ('va' not in kwargs):
kwargs['va'] = 'center'
if 'backgroundcolor' not in kwargs:
kwargs['backgroundcolor'] = ax.get_axis_bgcolor()
if 'clip_on' not in kwargs:
kwargs['clip_on'] = True
if 'zorder' not in kwargs:
kwargs['zorder'] = 2.5
ax.text(x,y,label,rotation=trans_angle,**kwargs)
def labelLines(lines,align=True,xvals=None,zorder=[],**kwargs):
ax = lines[0].get_axes()
labLines = []
labels = []
#Take only the lines which have labels other than the default ones
for line in lines:
label = line.get_label()
if "_line" not in label:
labLines.append(line)
labels.append(label)
if xvals is None:
xmin,xmax = ax.get_xlim()
xvals = np.linspace(xmin,xmax,len(labLines)+2)[1:-1]
for line,x,label,zo in zip(labLines,xvals,labels, zorder):
labelLine(line,x,label,align,zorder=zo,**kwargs)