import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from matplotlib import ticker
matplotlib.rcParams.update(matplotlib.rcParamsDefault)
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def printmap(map, xvals, yvals, xlab, ylab, clabel, crange, saveas):
'''
Auxially function for making a spectrogram map
'''
ax = plt.axes([0.15, 0.15, .75, .75])
plt.imshow(map, cmap='hot', origin='lower', aspect='auto', extent=(xvals[0],xvals[1], yvals[0],yvals[1]))
intervals = float(0.05)
plt.xlabel(xlab, fontsize=13)
plt.ylabel(ylab, fontsize=13)
plt.xticks(fontsize=12)
plt.yticks(fontsize=12)
plt.grid(which='both',color='k', linestyle='--', linewidth=0.5, alpha=0.2)
cb = plt.colorbar()
plt.clim(crange[0], crange[1])
cb.locator = ticker.MaxNLocator(nbins=5)
cb.update_ticks()
cb.set_label(clabel)
cb.ax.tick_params(labelsize=13)
plt.savefig(saveas, dpi=125)
plt.close()