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plot_utils.py
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import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
from matplotlib.colors import LightSource
def make_colorbar(fig, im, vmin, vmax, clabel, ax=None):
if ax is None:
ax = plt.gca()
divider = make_axes_locatable(ax)
cax = divider.append_axes('right', size='5%', pad=0.1)
cbar = plt.colorbar(im, ticks=np.linspace(vmin, vmax, 11), cax=cax)
cbar.set_label(clabel, rotation=270, labelpad=15)
return cbar
def splot2D(df, title, xlabel='X [m]', ylabel='Y [m]', clabel='Bed [m]', x='X', y='Y', c='Bed',
vmin=-400, vmax=600, s=0.5):
fig, ax = plt.subplots(1, figsize=(5,5))
im = plt.scatter(df[x], df[y], c=df[c], vmin=vmin, vmax=vmax,
marker='.', s=s, cmap='gist_earth')
plt.title(title)
plt.xlabel(xlabel); plt.ylabel(ylabel)
plt.locator_params(nbins=5)
# make colorbar
cbar = make_colorbar(fig, im, vmin, vmax, clabel)
ax.axis('scaled')
plt.show()
def mplot1(Pred_grid_xy, sim, rows, cols, title, xlabel='X [m]', ylabel='Y [m]',
clabel='Bed [m]', vmin=-400, vmax=600, hillshade=False, titlepad=None):
x_mat = Pred_grid_xy[:,0].reshape((rows, cols))
y_mat = Pred_grid_xy[:,1].reshape((rows, cols))
mat = sim.reshape((rows, cols))
xmin = Pred_grid_xy[:,0].min(); xmax = Pred_grid_xy[:,0].max()
ymin = Pred_grid_xy[:,1].min(); ymax = Pred_grid_xy[:,1].max()
cmap=plt.get_cmap('gist_earth')
fig, ax = plt.subplots(1, figsize=(5,5))
im = plt.pcolormesh(x_mat, y_mat, mat, vmin=vmin, vmax=vmax, cmap=cmap)
if hillshade == True:
# Shade from the northeast, with the sun 45 degrees from horizontal
ls = LightSource(azdeg=45, altdeg=45)
# leaving the dx and dy as 1 means a vertical exageration equal to dx/dy
hillshade = ls.hillshade(mat, vert_exag=1, dx=1, dy=1, fraction=1.0)
plt.pcolormesh(x_mat, y_mat, hillshade, cmap='gray', alpha=0.1)
if titlepad is None:
plt.title(title)
else:
plt.title(title, pad=titlepad)
plt.xlabel(xlabel); plt.ylabel(ylabel)
plt.xticks(np.linspace(xmin, xmax, 5))
plt.yticks(np.linspace(ymin, ymax, 5))
# make colorbar
if hillshade is False:
cbar = make_colorbar(fig, im, vmin, vmax, clabel)
ax.axis('scaled')
plt.show()
def mplot2_std(Pred_grid_xy, pred, std, rows, cols, title1, title2):
x_mat = Pred_grid_xy[:,0].reshape((rows, cols))
y_mat = Pred_grid_xy[:,1].reshape((rows, cols))
pred_mat = pred.reshape((rows, cols))
std_mat = std.reshape((rows, cols))
xmin = Pred_grid_xy[:,0].min(); xmax = Pred_grid_xy[:,0].max()
ymin = Pred_grid_xy[:,1].min(); ymax = Pred_grid_xy[:,1].max()
fig, [ax1, ax2] = plt.subplots(1, 2, figsize=(10,5))
im = ax1.pcolormesh(x_mat, y_mat, pred_mat, vmin=-400, vmax=600, cmap='gist_earth')
ax1.set_xticks(np.linspace(xmin, xmax, 5))
ax1.set_yticks(np.linspace(ymin, ymax, 5))
ax1.set_title(title1)
ax1.set_xlabel('X [m]'); ax1.set_ylabel('Y [m]')
ax1.axis('scaled')
# make colorbar
cbar = make_colorbar(fig, im, -400, 600, 'Bed [m]', ax=ax1)
im = ax2.pcolormesh(x_mat, y_mat, std_mat, vmin=0, vmax=150, cmap='gist_earth')
ax2.set_xticks(np.linspace(xmin, xmax, 5))
ax2.set_yticks(np.linspace(ymin, ymax, 5))
ax2.set_title(title2)
ax2.set_xlabel('X [m]'); ax2.set_ylabel('Y [m]')
ax2.axis('scaled')
# make colorbar
cbar = make_colorbar(fig, im, 0, 150, 'Bed [m]', ax=ax2)
plt.tight_layout()
plt.show()
def mplot2_hillshade(Pred_grid_xy, sim1, sim2, rows, cols, title1, title2):
x_mat = Pred_grid_xy[:,0].reshape((rows, cols))
y_mat = Pred_grid_xy[:,1].reshape((rows, cols))
sim1_mat = sim1.reshape((rows, cols))
sim2_mat = sim2.reshape((rows, cols))
xmin = Pred_grid_xy[:,0].min(); xmax = Pred_grid_xy[:,0].max()
ymin = Pred_grid_xy[:,1].min(); ymax = Pred_grid_xy[:,1].max()
plots = [sim1_mat, sim2_mat]
titles = [title1, title2]
fig, axs = plt.subplots(1, 2, figsize=(10,5))
for i, (ax, plot) in enumerate(zip(axs, plots)):
ax.pcolormesh(x_mat, y_mat, plot, vmin=-400, vmax=600, cmap='gist_earth')
# Shade from the northeast, with the sun 45 degrees from horizontal
ls = LightSource(azdeg=45, altdeg=45)
# leaving the dx and dy as 1 means a vertical exageration equal to dx/dy
hillshade = ls.hillshade(plot, vert_exag=1, dx=1, dy=1, fraction=1.0)
ax.pcolormesh(x_mat, y_mat, hillshade, cmap='gray', alpha=0.1)
ax.set_title(f'{titles[i]}')
ax.set_xlabel('X [m]')
if i == 0:
ax.set_ylabel('Y [m]')
ax.set_xticks(np.linspace(xmin, xmax, 5))
ax.set_yticks(np.linspace(ymin, ymax, 5))
ax.axis('scaled')
plt.tight_layout()
plt.show()