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figure_7-a_script.py
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import matplotlib.pyplot as plt
import numpy as np
import os
from scipy.interpolate import griddata
from matplotlib.ticker import FormatStrFormatter
from matplotlib.ticker import MultipleLocator
###############################################################################################################################
###########################################< Section n °1 : loading and plotting DATA >########################################
###############################################################################################################################
# Plot N°1
directory1 = "figure_7-a_data"
filenames1 = ["25.txt", "40.txt", "60.txt", "80.txt", "100.txt", "120.txt", "140.txt", "160.txt",
"180.txt", "200.txt", "220.txt", "230.txt", "240.txt", "250.txt", "260.txt", "270.txt",
"280.txt", "290.txt", "300.txt"]
y_values1 = [25, 40, 60, 80, 100, 120, 140, 160, 180, 200, 220, 230, 240, 250, 260, 270, 280, 290, 300]
x1 = []
y1 = []
z1 = []
for i, filename in enumerate(filenames1):
filepath = os.path.join(directory1, filename)
data = np.loadtxt(filepath)
mask = (data[:, 0] >= 32) & (data[:, 0] <= 35.8)
x1.extend(data[mask, 0])
y1.extend([y_values1[i]] * mask.sum())
z1.extend(data[mask, 1])
x1 = np.array(x1)
y1 = np.array(y1)
z1 = np.array(z1)
xi1 = np.linspace(32, 35.8, 1000)
yi1 = np.linspace(min(y_values1), max(y_values1), 1000)
zi1 = griddata((x1, y1), z1, (xi1[None,:], yi1[:,None]), method='linear')
fig = plt.figure(figsize=(14, 4))
gs = fig.add_gridspec(1, 1)#, wspace = 0.4)
axis1 = gs.subplots()
im1 = axis1.imshow(zi1, extent=(xi1.min(), xi1.max(), yi1.min(), yi1.max()), origin='lower', cmap='inferno', aspect='auto')#, vmin = 5000, vmax = 35000)
axis1.set_xlim(32.25, 35.5)
# Set the position and size of the right plot
axis1.set_position([0.1, 0.1, 0.35, 0.5])
###############################################################################################################################
#################################################< Section n °2 : managing ticks >#############################################
###############################################################################################################################
# Twin axis and limits
axis12 = axis1.twinx()
axis121 = axis1.twiny()
axis12.set_ylim(25, 300)
axis12.set_xlim(32.25, 35.5)
axis121.set_ylim(25, 300)
axis121.set_xlim(32.25, 35.5)
# How much tick in the x-axis
axis1.locator_params(axis='x', nbins=8)
axis121.locator_params(axis='x', nbins=8)
# Lables
#axis1.set_title('(a)', color = 'k', fontsize=16, x = 0, y = 1.15)
axis1.set_xlabel(r'2$\theta$ (°)', color = 'k', fontsize=14)
axis1.set_ylabel('T (°C)', color = 'k', fontsize=14)
#axis12.set_ylabel('T (°C)', color = 'k', fontsize=14)
# Major ticks
# Plot N°1
axis1.tick_params(axis='y', colors='r', length = 8, width=1.5, labelsize = 10, direction='in')
axis1.tick_params(axis = 'x', colors = 'r', length = 8, width=1.5, labelsize = 10, direction='in')
axis1.yaxis.set_major_formatter(FormatStrFormatter('%.f'))
axis12.tick_params(axis='y', colors='r', length = 8, width=1.5, labelsize = 10, direction='in')
axis12.tick_params(axis='x', colors='r', length = 8, width=1.5, labelsize = 10, direction='in')
axis12.yaxis.set_major_formatter(FormatStrFormatter('%.f'))
axis121.tick_params(axis='y', colors='r', length = 8, width=1.5, labelsize = 10, direction='in')
axis121.tick_params(axis='x', colors='r', length = 8, width=1.5, labelsize = 10, direction='in')
#axis12.set_yticklabels([])
# Minor ticks
# Plot N°1
axis1.xaxis.set_minor_locator(MultipleLocator(0.1))
axis1.yaxis.set_minor_locator(MultipleLocator(10))
axis1.tick_params(which = 'minor', color = 'r', length = 4, width = 1.5, direction = "in")
axis12.xaxis.set_minor_locator(MultipleLocator(0.1))
axis12.yaxis.set_minor_locator(MultipleLocator(10))
axis12.tick_params(which = 'minor', color = 'r', length = 4, width = 1.5, direction = "in")
axis121.xaxis.set_minor_locator(MultipleLocator(0.1))
axis121.yaxis.set_minor_locator(MultipleLocator(10))
axis121.tick_params(which = 'minor', color = 'r', length = 4, width = 1.5, direction = "in")
###############################################################################################################################
###############################################< Section n °3 : managing colorbar >############################################
###############################################################################################################################
cbar = fig.colorbar(im1, ax=[axis1])
# Adjust the horizontal position of the colorbar
cax = cbar.ax
pos = list(cax.get_position().bounds)
pos[0] += 0.01 # move the colorbar to the right by 0.05
cax.set_position(pos)
# Handling colorbar ticks format and the scale factor x10^(-4)
cbar.formatter.set_powerlimits((4, 4))
cbar.formatter.set_useMathText(True) # To go from e-04 to x10^(-4)
cbar.ax.yaxis.offsetText.set_visible(False) # To make the scale factor disappear
cbar.ax.set_title(r'Intensity $\times 10^{4}$ (a.u.)', x= 5.5, y=0.12, rotation = 90)
###############################################################################################################################
#################################################< Section n °4 : texts and arrows >###########################################
###############################################################################################################################
axis1.text(32.56, 220, '(020)', fontsize=12, color='r')
axis1.text(33.20, 225, '(112)', fontsize=12, color='r')
axis1.text(33.75, 250, r'($\overline{2}$12)', fontsize=12, color='r', fontname = "Times New Roman")
axis1.text(34.45, 125, '(300)', fontsize=12, color='r')
axis1.text(34.4, 175, '(120)', fontsize=12, color='r')
# Add an arrow pointing to a certain point in the left plot
x_highlight1 = 32.72
y_highlight1 = 260
axis1.arrow(x_highlight1 - 0.05, y_highlight1 - 20, 0.1, 30,
head_width=0.03, head_length=10, fc='r', ec='r')
axis1.arrow(x_highlight1 - 0.05, y_highlight1 - 20, 0.16, 28,
head_width=0.03, head_length=10, fc='r', ec='r')
x_highlight2 = 33.35
y_highlight2 = 265
axis1.arrow(x_highlight2 - 0.05, y_highlight2 - 20, -0.17, 30,
head_width=0.03, head_length=10, fc='r', ec='r')
axis1.arrow(x_highlight2 - 0.05, y_highlight2 - 20, -0.23, 28,
head_width=0.03, head_length=10, fc='r', ec='r')
# Add an arrow pointing to a certain point in the right plot
x_highlight1 = 33.95
y_highlight1 = 265
axis1.arrow(x_highlight1 - 0.05, y_highlight1 - 20, -0.1, -30,
head_width=0.03, head_length=10, fc='r', ec='r')
axis1.arrow(x_highlight1 - 0.05, y_highlight1 - 20, -0.16, -28,
head_width=0.03, head_length=10, fc='r', ec='r')
x_highlight2 = 34.65
y_highlight2 = 135
axis1.arrow(x_highlight2 - 0.05, y_highlight2 - 20, -0.16, -30,
head_width=0.03, head_length=10, fc='r', ec='r')
axis1.arrow(x_highlight2 - 0.05, y_highlight2 - 20, -0.22, -28,
head_width=0.03, head_length=10, fc='r', ec='r')
x_highlight2 = 34.6
y_highlight2 = 215
axis1.arrow(x_highlight2 - 0.05, y_highlight2 - 20, 0.22, 30,
head_width=0.03, head_length=10, fc='r', ec='r')
axis1.arrow(x_highlight2 - 0.05, y_highlight2 - 20, 0.28, 28,
head_width=0.03, head_length=10, fc='r', ec='r')
fig.savefig('figure_7-a.png', dpi=600, bbox_inches='tight')
plt.show()