<filename>examples/plotting/plot_2d/plot_assignments.py<gh_stars>100-1000
#! /usr/bin/env python
# Create a contour plots of a spectrum with each peak in limits.in labeled

import nmrglue as ng
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm

# plot parameters
cmap = matplotlib.cm.Blues_r    # contour map (colors to use for contours)
contour_start = 30000           # contour level start value
contour_num = 20                # number of contour levels
contour_factor = 1.20           # scaling factor between contour levels
textsize = 6                    # text size of labels

# calculate contour levels
cl = contour_start * contour_factor ** np.arange(contour_num)

# read in the data from a NMRPipe file
dic, data = ng.pipe.read("nmrpipe_2d/test.ft2")

# read in the integration limits
peak_list = np.recfromtxt("limits.in")

# create the figure
fig = plt.figure()
ax = fig.add_subplot(111)

# plot the contours
ax.contour(data, cl, cmap=cmap, 
            extent=(0, data.shape[1] - 1, 0, data.shape[0] - 1))

# loop over the peaks
for name, x0, y0, x1, y1 in peak_list:

    if x0 > x1:
        x0, x1 = x1, x0
    if y0 > y1:
        y0, y1 = y1, y0

    # plot a box around each peak and label
    ax.plot([x0, x1, x1, x0, x0], [y0, y0, y1, y1, y0], 'k')
    ax.text(x1 + 1, y0, name, size=textsize, color='r')
    
# set limits
ax.set_xlim(1900, 2200)
ax.set_ylim(750, 1400)

# save the figure
fig.savefig("assignments.png")

<filename>examples/plotting/plot_2d/plot_assignments.py<gh_stars>100-1000
#! /usr/bin/env python
# Create a contour plots of a spectrum with each peak in limits.in labeled

import nmrglue as ng
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm

# plot parameters
cmap = matplotlib.cm.Blues_r    # contour map (colors to use for contours)
contour_start = 30000           # contour level start value
contour_num = 20                # number of contour levels
contour_factor = 1.20           # scaling factor between contour levels
textsize = 6                    # text size of labels

# calculate contour levels
cl = contour_start * contour_factor ** np.arange(contour_num)

# read in the data from a NMRPipe file
dic, data = ng.pipe.read("nmrpipe_2d/test.ft2")

# read in the integration limits
peak_list = np.recfromtxt("limits.in")

# create the figure
fig = plt.figure()
ax = fig.add_subplot(111)

# plot the contours
ax.contour(data, cl, cmap=cmap, 
            extent=(0, data.shape[1] - 1, 0, data.shape[0] - 1))

# loop over the peaks
for name, x0, y0, x1, y1 in peak_list:

    if x0 > x1:
        x0, x1 = x1, x0
    if y0 > y1:
        y0, y1 = y1, y0

    # plot a box around each peak and label
    ax.plot([x0, x1, x1, x0, x0], [y0, y0, y1, y1, y0], 'k')
    ax.text(x1 + 1, y0, name, size=textsize, color='r')
    
# set limits
ax.set_xlim(1900, 2200)
ax.set_ylim(750, 1400)

# save the figure
fig.savefig("assignments.png")

#! /usr/bin/env python # Create a contour plots of a spectrum with each peak in limits.in labeled # plot parameters # contour map (colors to use for contours) # contour level start value # number of contour levels # scaling factor between contour levels # text size of labels # calculate contour levels # read in the data from a NMRPipe file # read in the integration limits # create the figure # plot the contours # loop over the peaks # plot a box around each peak and label # set limits # save the figure