def test_plot_ic_minutes(im_i):
fig, ax = plt.subplots()
# Plotting IC with various Line2D options
plot_ic(ax, im_i.get_ic_at_index(5), minutes=True)
return fig
def test_plot_ic_label(im_i):
fig, ax = plt.subplots()
plot_ic(ax, im_i.get_ic_at_index(5), label="IC @ Index 5")
ax.legend()
return fig
def test_plot_ic_title(im_i):
fig, ax = plt.subplots()
plot_ic(ax, im_i.get_ic_at_index(5))
ax.set_title("Test IC Plot")
return fig
def test_plot_peaks_with_tic(peak_list, tic):
fig, ax = plt.subplots()
plot_ic(ax, tic)
plot_peaks(ax, peak_list)
return fig
def test_plot_tic_title(tic):
fig, ax = plt.subplots()
plot_ic(ax, tic)
ax.set_title("Test TIC Plot")
return fig
def test_plot_tic_label(tic):
fig, ax = plt.subplots()
plot_ic(ax, tic, label="IC @ Index 5")
ax.legend()
return fig
def test_plot_ic_errors(im_i, data, ms):
fig, ax = plt.subplots()
for obj in [
*test_sequences, test_string, *test_numbers, test_dict, im_i, data,
ms
]:
with pytest.raises(TypeError, match="'ic' must be an IonChromatogram"):
plot_ic(ax, obj)
tic = data.tic
# Import matplotlib and the `plot_ic()` function, create a subplot, and plot the TIC:
# In[3]:
# 3rd party
import matplotlib.pyplot as plt
# this package
from pymassspec_plot import plot_ic
fig, ax = plt.subplots(1, 1, figsize=(8, 5))
# Plot the TIC
plot_ic(ax, tic, label="TIC")
# Set the title
ax.set_title("TIC for gc01_0812_066")
# Add the legend
plt.legend()
plt.show()
# In addition to the TIC, other arguments may be passed to `plot_ic()`. These can
# adjust the line colour or the text of the legend entry.
# See https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.lines.Line2D.html for a
# full list of the possible arguments.
#
# An `IonChromatogram` can be plotted in the same manner as the TIC in the example above.
def test_plot_ic_multiple(im_i):
fig, ax = plt.subplots()
plot_ic(ax, im_i.get_ic_at_index(5), label="IC @ Index 5")
plot_ic(ax, im_i.get_ic_at_index(10), label="IC @ Index 10")
plot_ic(ax, im_i.get_ic_at_index(20), label="IC @ Index 20")
plot_ic(ax, im_i.get_ic_at_index(40), label="IC @ Index 40")
plot_ic(ax, im_i.get_ic_at_index(80), label="IC @ Index 80")
plot_ic(ax, im_i.get_ic_at_index(160), label="IC @ Index 160")
ax.legend()
return fig
def test_plot_ic_linestyle(im_i):
fig, ax = plt.subplots()
plot_ic(ax, im_i.get_ic_at_index(5), linestyle="--")
return fig
def test_plot_ic_linewidth(im_i):
fig, ax = plt.subplots()
plot_ic(ax, im_i.get_ic_at_index(5), linewidth=2)
return fig
def test_plot_ic_alpha(im_i):
fig, ax = plt.subplots()
plot_ic(ax, im_i.get_ic_at_index(5), alpha=0.5)
return fig
def test_plot_tic_linestyle(tic):
fig, ax = plt.subplots()
plot_ic(ax, tic, linestyle="--")
return fig
def test_plot_tic_linewidth(tic):
fig, ax = plt.subplots()
plot_ic(ax, tic, linewidth=2)
return fig
def test_plot_tic_alpha(tic):
fig, ax = plt.subplots()
plot_ic(ax, tic, alpha=0.5)
return fig
def test_plot_tic(tic):
fig, ax = plt.subplots()
plot_ic(ax, tic)
return fig
