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plot_style.py
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plot_style.py
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"""
Plot styles available to draw from PNGProfileFormat
* detailed_plot: a detailed view of the profile
* corrected_elevation: show the terrain with curvature correction and a straight line of sight
* curved_sight: show the terrain without curvature correction and a curved line of sight
"""
import math
import matplotlib
matplotlib.use('Cairo')
import numpy as np
import matplotlib.pyplot as plt
def manual_linear_scaled_range(data):
"""
Return the linear scaled limits (min and max) based on the log10 of the input data.
:param data: the data to look the scale for
:return: the min and max of the scale
"""
data_min = np.amin(data)
data_max = np.amax(data)
log_diff = math.log10(data_max - data_min)
step = 10 ** math.floor(log_diff)
scaled_min = math.floor(data_min / step) * step
scaled_max = math.ceil(data_max / step) * step
return scaled_min, scaled_max
def detailed_plot(profile_data, filename, file_format='png'):
# Prepare data
x = profile_data['distances'] / 1000 # pylint: disable=invalid-name
y_elev = profile_data['elevations']
y_elev_plus_correction = profile_data['elevations'] + profile_data['overheads']
y_sight = profile_data['sights']
y_min, y_max = manual_linear_scaled_range(np.concatenate([y_elev_plus_correction, y_sight]))
floor = np.full_like(x, y_min)
floor_plus_correction = floor + profile_data['overheads']
mid_x = x[int(len(x) / 2)]
max_correction = max(profile_data['overheads'])
# Prepare plot
fig = plt.figure()
sub_plt = fig.add_subplot(111)
# Plot
sub_plt.plot(x, y_sight, 'g-', label='Sight', linewidth=0.5, xunits=1000.0)
sub_plt.fill_between(x, y_elev, floor_plus_correction, linewidth=0, facecolor=(0.7, 0.7, 0.7), xunits=1000.0)
sub_plt.fill_between(x, y_elev_plus_correction, y_elev, linewidth=0, facecolor=(0.85, 0.85, 0.7), xunits=1000.0)
sub_plt.fill_between(x, floor_plus_correction, floor, linewidth=0, facecolor=(0.85, 0.85, 0.7), xunits=1000.0)
sub_plt.annotate("Max correction: %.2fm" % max_correction, xy=(mid_x, max_correction + y_min),
xytext=(-20, 30), textcoords='offset points',
arrowprops=dict(arrowstyle="simple", fc="0.3", ec="none"))
# Fix limits
sub_plt.set_xlim(min(x), max(x))
sub_plt.set_ylim(y_min, y_max)
# Style
sub_plt.set_title("Elevation (m) vs. Distance (km)")
sub_plt.spines["top"].set_visible(False)
sub_plt.spines["bottom"].set_visible(False)
sub_plt.spines["right"].set_visible(False)
sub_plt.spines["left"].set_visible(False)
sub_plt.tick_params(axis='both', which='both', bottom='on', top='off',
labelbottom='on', left='off', right='off', labelleft='on')
sub_plt.grid(axis='y')
# Format and save
# setting dpi with figure.set_dpi() seem to be useless, the dpi really used is the one in savefig()
fig.set_size_inches(10, 3.5)
fig.savefig(filename, bbox_inches='tight', dpi=80, format=file_format)
def corrected_elevation(profile_data, filename, file_format='png'):
"""
Generate a figure with the given profile data in the given filename.
:param profile_data: a dict object having 'distances', 'elevations', 'overheads' and 'sights' keys defined
each key is an array (or a numpy array) of the points
:param filename: a string or a fd to write the figure in
:param file_format: the format given to the Figure.savefig function, default is 'png'
"""
# Prepare data
x = profile_data['distances'] / 1000 # pylint: disable=invalid-name
y_elev_plus_correction = profile_data['elevations'] + profile_data['overheads']
y_sight = profile_data['sights']
y_min, y_max = manual_linear_scaled_range(np.concatenate([y_elev_plus_correction, y_sight]))
floor = np.full_like(x, y_min)
floor_plus_correction = floor + profile_data['overheads']
# Prepare plot
fig = plt.figure()
sub_plt = fig.add_subplot(111)
# Plot
sub_plt.plot(x, y_sight, 'g-', label='Sight', linewidth=0.5)
sub_plt.fill_between(x, y_elev_plus_correction, floor_plus_correction, linewidth=0, facecolor=(0.7, 0.7, 0.7))
sub_plt.fill_between(x, floor_plus_correction, floor, linewidth=0, facecolor=(0.85, 0.85, 0.7))
# Fix limits
sub_plt.set_xlim(min(x), max(x))
sub_plt.set_ylim(y_min, y_max)
# Style
sub_plt.set_title("Elevation (m) vs. Distance (km)")
sub_plt.spines["top"].set_visible(False)
sub_plt.spines["bottom"].set_visible(False)
sub_plt.spines["right"].set_visible(False)
sub_plt.spines["left"].set_visible(False)
sub_plt.tick_params(axis='both', which='both', bottom='on', top='off',
labelbottom='on', left='off', right='off', labelleft='on')
sub_plt.grid(axis='y')
# Format and save
# setting dpi with figure.set_dpi() seem to be useless, the dpi really used is the one in savefig()
fig.set_size_inches(10, 3.5)
fig.savefig(filename, bbox_inches='tight', dpi=80, format=file_format)
def curved_sight(profile_data, filename, file_format='png'):
# Prepare data
x = profile_data['distances'] / 1000 # pylint: disable=invalid-name
y_elev = profile_data['elevations']
y_sight_minus_correction = profile_data['sights'] - profile_data['overheads']
y_min, y_max = manual_linear_scaled_range(np.concatenate([y_elev, y_sight_minus_correction]))
floor = np.full_like(x, y_min)
# Prepare plot
fig = plt.figure()
sub_plt = fig.add_subplot(111)
# Plot
sub_plt.plot(x, y_sight_minus_correction, 'g-', label='Sight', linewidth=0.5)
sub_plt.fill_between(x, y_elev, floor, label='Elevation', linewidth=0.5,
facecolor=(0.7, 0.7, 0.7), edgecolor=(0, 0, 0, 0))
# Fix limits
sub_plt.set_xlim(min(x), max(x))
sub_plt.set_ylim(y_min, y_max)
# Style
sub_plt.set_title("Elevation (m) vs. Distance (km)")
sub_plt.spines["top"].set_visible(False)
sub_plt.spines["bottom"].set_visible(False)
sub_plt.spines["right"].set_visible(False)
sub_plt.spines["left"].set_visible(False)
sub_plt.tick_params(axis='both', which='both', bottom='on', top='off',
labelbottom='on', left='off', right='off', labelleft='on')
sub_plt.grid(axis='y')
# Format and save
# setting dpi with figure.set_dpi() seem to be useless, the dpi really used is the one in savefig()
fig.set_size_inches(10, 3.5)
fig.savefig(filename, bbox_inches='tight', dpi=80, format=file_format)