Python matplotlib.collections.PathCollection() Examples
The following are 28
code examples of matplotlib.collections.PathCollection().
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Example #1
| Source File: CV_diode_plots.py From DIY_particle_detector with BSD 2-Clause "Simplified" License | 6 votes |
|
def plotCV(df,columns,colors):
### plot C-V curve
fig = plt.figure()
plot = fig.add_subplot(111)
i = 0
for column in df[columns]:
plot.errorbar(df.VBias,df[column],yerr=df[column]*df[column+'_err'].values,fmt='s',markeredgewidth=1,markersize=3,label=column,markerfacecolor='none',color='none', markeredgecolor=colors[i])
i +=1
txt = r"\n(errors are smaller than marker symbols)"
plot.set_ylabel('Capacitance [pF]', fontsize=14)
plot.set_xlabel('Reverse bias voltage [|V|]', fontsize=14)#+ txt )
plot.set_yscale('log')
plot.set_xscale('log')
def update2(handle, orig):
handle.update_from(orig)
handle.set_sizes([100])
plot.legend(handler_map={PathCollection : HandlerPathCollection(update_func=update2)},fontsize=10,scatterpoints=5)
plot.grid(which='minor',linewidth=0.5)
plot.grid(which='major',linewidth=1.0)
plot.set_xticklabels(list(map(str, [0.001,0.01,0.1,1,10]))) # WARNING: adapt in case of other changes
plot.set_yticklabels(list(map(str, [0.1,1,10,100,1000]))) # WARNING: adapt in case of other changes
fig.tight_layout(pad=0.2)
Example #2
| Source File: CV_diode_plots.py From DIY_particle_detector with BSD 2-Clause "Simplified" License | 5 votes |
|
def plotNeff(df, columns,colors):
fig = plt.figure()
plot = fig.add_subplot(111)
i =0
for column in df[columns]:
print(column)
# RAW C data to Neff
d_raw = depth(df[column].values)*10000 # in um
neff_raw = Neff(df[column+'_cc'], df.VBias)#df.VBias[1]-df.VBias[0] )#df.VBias.values)
cc_err_max = 1.0/((df[column]*(1+df[column+'_err'].values)) * (df[column]*(1+df[column+'_err'].values)))
cc_err_min = 1.0/((df[column]*(1-df[column+'_err'].values)) * (df[column]*(1-df[column+'_err'].values)))
neff_err_max = Neff(cc_err_max, df.VBias)
neff_err_min = Neff(cc_err_min, df.VBias)
plot.plot(d_raw,neff_err_max, linewidth=0.1,color=colors[i])
plot.plot(d_raw,neff_err_min, linewidth=0.1,color=colors[i])
plot.scatter(x=d_raw, y=neff_raw,s=1.5,marker='d', label=column, color=colors[i])
i+=1
txt = r"\n(errors are smaller than marker symbols)"
plot.set_xlabel('Depletion layer depth ['+u'\u03bc'+'m]') #+ txt )
plot.set_ylabel('Neff [cm$^{-3}$]')
plot.set_yscale('log')
plot.set_xscale('log')
def update1(handle, orig):
handle.update_from(orig)
handle.set_sizes([30])
plot.legend(handler_map={PathCollection : HandlerPathCollection(update_func=update1)},fontsize=10,scatterpoints=1,loc=4)
plot.set_xticklabels(list(map(str, [0.1,1,10,100]))) # WARNING: adapt in case of other changes
fig.tight_layout(pad=0.2)
Example #3
| Source File: test_artist.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_clipping():
exterior = mpath.Path.unit_rectangle().deepcopy()
exterior.vertices *= 4
exterior.vertices -= 2
interior = mpath.Path.unit_circle().deepcopy()
interior.vertices = interior.vertices[::-1]
clip_path = mpath.Path(vertices=np.concatenate([exterior.vertices,
interior.vertices]),
codes=np.concatenate([exterior.codes,
interior.codes]))
star = mpath.Path.unit_regular_star(6).deepcopy()
star.vertices *= 2.6
ax1 = plt.subplot(121)
col = mcollections.PathCollection([star], lw=5, edgecolor='blue',
facecolor='red', alpha=0.7, hatch='*')
col.set_clip_path(clip_path, ax1.transData)
ax1.add_collection(col)
ax2 = plt.subplot(122, sharex=ax1, sharey=ax1)
patch = mpatches.PathPatch(star, lw=5, edgecolor='blue', facecolor='red',
alpha=0.7, hatch='*')
patch.set_clip_path(clip_path, ax2.transData)
ax2.add_patch(patch)
ax1.set_xlim([-3, 3])
ax1.set_ylim([-3, 3])
Example #4
| Source File: test_collections.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_joinstyle():
col = mcollections.PathCollection([], joinstyle='round')
assert_equal(col.get_joinstyle(), 'round')
col.set_joinstyle('miter')
assert_equal(col.get_joinstyle(), 'miter')
Example #5
| Source File: test_collections.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_lslw_bcast():
col = mcollections.PathCollection([])
col.set_linestyles(['-', '-'])
col.set_linewidths([1, 2, 3])
assert_equal(col.get_linestyles(), [(None, None)] * 6)
assert_equal(col.get_linewidths(), [1, 2, 3] * 2)
col.set_linestyles(['-', '-', '-'])
assert_equal(col.get_linestyles(), [(None, None)] * 3)
assert_equal(col.get_linewidths(), [1, 2, 3])
Example #6
| Source File: test_collections.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_null_collection_datalim():
col = mcollections.PathCollection([])
col_data_lim = col.get_datalim(mtransforms.IdentityTransform())
assert_array_equal(col_data_lim.get_points(),
mtransforms.Bbox.null().get_points())
Example #7
| Source File: test_patches.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_patch_custom_linestyle():
#: A test to check that patches and collections accept custom dash
#: patterns as linestyle and that they display correctly.
star = mpath.Path.unit_regular_star(6)
circle = mpath.Path.unit_circle()
# concatenate the star with an internal cutout of the circle
verts = np.concatenate([circle.vertices, star.vertices[::-1]])
codes = np.concatenate([circle.codes, star.codes])
cut_star1 = mpath.Path(verts, codes)
cut_star2 = mpath.Path(verts + 1, codes)
ax = plt.axes()
patch = mpatches.PathPatch(cut_star1,
linewidth=5, linestyle=(0.0, (5.0, 7.0, 10.0, 7.0)),
facecolor=(1, 0, 0),
edgecolor=(0, 0, 1))
ax.add_patch(patch)
col = mcollections.PathCollection([cut_star2],
linewidth=5, linestyles=[(0.0, (5.0, 7.0, 10.0, 7.0))],
facecolor=(1, 0, 0),
edgecolor=(0, 0, 1))
ax.add_collection(col)
ax.set_xlim([-1, 2])
ax.set_ylim([-1, 2])
Example #8
| Source File: test_patches.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_patch_alpha_override():
#: Test checks that specifying an alpha attribute for a patch or
#: collection will override any alpha component of the facecolor
#: or edgecolor.
star = mpath.Path.unit_regular_star(6)
circle = mpath.Path.unit_circle()
# concatenate the star with an internal cutout of the circle
verts = np.concatenate([circle.vertices, star.vertices[::-1]])
codes = np.concatenate([circle.codes, star.codes])
cut_star1 = mpath.Path(verts, codes)
cut_star2 = mpath.Path(verts + 1, codes)
ax = plt.axes()
patch = mpatches.PathPatch(cut_star1,
linewidth=5, linestyle='dashdot',
alpha=0.25,
facecolor=(1, 0, 0, 0.5),
edgecolor=(0, 0, 1, 0.75))
ax.add_patch(patch)
col = mcollections.PathCollection([cut_star2],
linewidth=5, linestyles='dashdot',
alpha=0.25,
facecolor=(1, 0, 0, 0.5),
edgecolor=(0, 0, 1, 0.75))
ax.add_collection(col)
ax.set_xlim([-1, 2])
ax.set_ylim([-1, 2])
Example #9
| Source File: test_patches.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_patch_alpha_coloring():
"""
Test checks that the patch and collection are rendered with the specified
alpha values in their facecolor and edgecolor.
"""
star = mpath.Path.unit_regular_star(6)
circle = mpath.Path.unit_circle()
# concatenate the star with an internal cutout of the circle
verts = np.concatenate([circle.vertices, star.vertices[::-1]])
codes = np.concatenate([circle.codes, star.codes])
cut_star1 = mpath.Path(verts, codes)
cut_star2 = mpath.Path(verts + 1, codes)
ax = plt.axes()
patch = mpatches.PathPatch(cut_star1,
linewidth=5, linestyle='dashdot',
facecolor=(1, 0, 0, 0.5),
edgecolor=(0, 0, 1, 0.75))
ax.add_patch(patch)
col = mcollections.PathCollection([cut_star2],
linewidth=5, linestyles='dashdot',
facecolor=(1, 0, 0, 0.5),
edgecolor=(0, 0, 1, 0.75))
ax.add_collection(col)
ax.set_xlim([-1, 2])
ax.set_ylim([-1, 2])
Example #10
| Source File: test_artist.py From coffeegrindsize with MIT License | 5 votes |
|
def test_clipping():
exterior = mpath.Path.unit_rectangle().deepcopy()
exterior.vertices *= 4
exterior.vertices -= 2
interior = mpath.Path.unit_circle().deepcopy()
interior.vertices = interior.vertices[::-1]
clip_path = mpath.Path(vertices=np.concatenate([exterior.vertices,
interior.vertices]),
codes=np.concatenate([exterior.codes,
interior.codes]))
star = mpath.Path.unit_regular_star(6).deepcopy()
star.vertices *= 2.6
ax1 = plt.subplot(121)
col = mcollections.PathCollection([star], lw=5, edgecolor='blue',
facecolor='red', alpha=0.7, hatch='*')
col.set_clip_path(clip_path, ax1.transData)
ax1.add_collection(col)
ax2 = plt.subplot(122, sharex=ax1, sharey=ax1)
patch = mpatches.PathPatch(star, lw=5, edgecolor='blue', facecolor='red',
alpha=0.7, hatch='*')
patch.set_clip_path(clip_path, ax2.transData)
ax2.add_patch(patch)
ax1.set_xlim([-3, 3])
ax1.set_ylim([-3, 3])
Example #11
| Source File: test_collections.py From coffeegrindsize with MIT License | 5 votes |
|
def test_joinstyle():
col = mcollections.PathCollection([], joinstyle='round')
assert col.get_joinstyle() == 'round'
col.set_joinstyle('miter')
assert col.get_joinstyle() == 'miter'
Example #12
| Source File: test_collections.py From coffeegrindsize with MIT License | 5 votes |
|
def test_capstyle():
col = mcollections.PathCollection([], capstyle='round')
assert col.get_capstyle() == 'round'
col.set_capstyle('butt')
assert col.get_capstyle() == 'butt'
Example #13
| Source File: test_collections.py From coffeegrindsize with MIT License | 5 votes |
|
def test_lslw_bcast():
col = mcollections.PathCollection([])
col.set_linestyles(['-', '-'])
col.set_linewidths([1, 2, 3])
assert col.get_linestyles() == [(None, None)] * 6
assert col.get_linewidths() == [1, 2, 3] * 2
col.set_linestyles(['-', '-', '-'])
assert col.get_linestyles() == [(None, None)] * 3
assert (col.get_linewidths() == [1, 2, 3]).all()
Example #14
| Source File: test_collections.py From coffeegrindsize with MIT License | 5 votes |
|
def test_null_collection_datalim():
col = mcollections.PathCollection([])
col_data_lim = col.get_datalim(mtransforms.IdentityTransform())
assert_array_equal(col_data_lim.get_points(),
mtransforms.Bbox.null().get_points())
Example #15
| Source File: test_patches.py From neural-network-animation with MIT License | 5 votes |
|
def test_patch_alpha_coloring():
"""
Test checks that the patch and collection are rendered with the specified
alpha values in their facecolor and edgecolor.
"""
star = mpath.Path.unit_regular_star(6)
circle = mpath.Path.unit_circle()
# concatenate the star with an internal cutout of the circle
verts = np.concatenate([circle.vertices, star.vertices[::-1]])
codes = np.concatenate([circle.codes, star.codes])
cut_star1 = mpath.Path(verts, codes)
cut_star2 = mpath.Path(verts + 1, codes)
ax = plt.axes()
patch = mpatches.PathPatch(cut_star1,
linewidth=5, linestyle='dashdot',
facecolor=(1, 0, 0, 0.5),
edgecolor=(0, 0, 1, 0.75))
ax.add_patch(patch)
col = mcollections.PathCollection([cut_star2],
linewidth=5, linestyles='dashdot',
facecolor=(1, 0, 0, 0.5),
edgecolor=(0, 0, 1, 0.75))
ax.add_collection(col)
ax.set_xlim([-1, 2])
ax.set_ylim([-1, 2])
Example #16
| Source File: test_collections.py From ImageFusion with MIT License | 5 votes |
|
def test_null_collection_datalim():
col = mcollections.PathCollection([])
col_data_lim = col.get_datalim(mtransforms.IdentityTransform())
assert_array_equal(col_data_lim.get_points(),
mtransforms.Bbox.null().get_points())
Example #17
| Source File: test_patches.py From ImageFusion with MIT License | 5 votes |
|
def test_patch_custom_linestyle():
#: A test to check that patches and collections accept custom dash
#: patterns as linestyle and that they display correctly.
star = mpath.Path.unit_regular_star(6)
circle = mpath.Path.unit_circle()
# concatenate the star with an internal cutout of the circle
verts = np.concatenate([circle.vertices, star.vertices[::-1]])
codes = np.concatenate([circle.codes, star.codes])
cut_star1 = mpath.Path(verts, codes)
cut_star2 = mpath.Path(verts + 1, codes)
ax = plt.axes()
patch = mpatches.PathPatch(cut_star1,
linewidth=5, linestyle=(0.0, (5.0, 7.0, 10.0, 7.0)),
facecolor=(1, 0, 0),
edgecolor=(0, 0, 1))
ax.add_patch(patch)
col = mcollections.PathCollection([cut_star2],
linewidth=5, linestyles=[(0.0, (5.0, 7.0, 10.0, 7.0))],
facecolor=(1, 0, 0),
edgecolor=(0, 0, 1))
ax.add_collection(col)
ax.set_xlim([-1, 2])
ax.set_ylim([-1, 2])
Example #18
| Source File: test_patches.py From ImageFusion with MIT License | 5 votes |
|
def test_patch_alpha_override():
#: Test checks that specifying an alpha attribute for a patch or
#: collection will override any alpha component of the facecolor
#: or edgecolor.
star = mpath.Path.unit_regular_star(6)
circle = mpath.Path.unit_circle()
# concatenate the star with an internal cutout of the circle
verts = np.concatenate([circle.vertices, star.vertices[::-1]])
codes = np.concatenate([circle.codes, star.codes])
cut_star1 = mpath.Path(verts, codes)
cut_star2 = mpath.Path(verts + 1, codes)
ax = plt.axes()
patch = mpatches.PathPatch(cut_star1,
linewidth=5, linestyle='dashdot',
alpha=0.25,
facecolor=(1, 0, 0, 0.5),
edgecolor=(0, 0, 1, 0.75))
ax.add_patch(patch)
col = mcollections.PathCollection([cut_star2],
linewidth=5, linestyles='dashdot',
alpha=0.25,
facecolor=(1, 0, 0, 0.5),
edgecolor=(0, 0, 1, 0.75))
ax.add_collection(col)
ax.set_xlim([-1, 2])
ax.set_ylim([-1, 2])
Example #19
| Source File: test_patches.py From ImageFusion with MIT License | 5 votes |
|
def test_patch_alpha_coloring():
"""
Test checks that the patch and collection are rendered with the specified
alpha values in their facecolor and edgecolor.
"""
star = mpath.Path.unit_regular_star(6)
circle = mpath.Path.unit_circle()
# concatenate the star with an internal cutout of the circle
verts = np.concatenate([circle.vertices, star.vertices[::-1]])
codes = np.concatenate([circle.codes, star.codes])
cut_star1 = mpath.Path(verts, codes)
cut_star2 = mpath.Path(verts + 1, codes)
ax = plt.axes()
patch = mpatches.PathPatch(cut_star1,
linewidth=5, linestyle='dashdot',
facecolor=(1, 0, 0, 0.5),
edgecolor=(0, 0, 1, 0.75))
ax.add_patch(patch)
col = mcollections.PathCollection([cut_star2],
linewidth=5, linestyles='dashdot',
facecolor=(1, 0, 0, 0.5),
edgecolor=(0, 0, 1, 0.75))
ax.add_collection(col)
ax.set_xlim([-1, 2])
ax.set_ylim([-1, 2])
Example #20
| Source File: test_artist.py From python3_ios with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def test_clipping():
exterior = mpath.Path.unit_rectangle().deepcopy()
exterior.vertices *= 4
exterior.vertices -= 2
interior = mpath.Path.unit_circle().deepcopy()
interior.vertices = interior.vertices[::-1]
clip_path = mpath.Path(vertices=np.concatenate([exterior.vertices,
interior.vertices]),
codes=np.concatenate([exterior.codes,
interior.codes]))
star = mpath.Path.unit_regular_star(6).deepcopy()
star.vertices *= 2.6
ax1 = plt.subplot(121)
col = mcollections.PathCollection([star], lw=5, edgecolor='blue',
facecolor='red', alpha=0.7, hatch='*')
col.set_clip_path(clip_path, ax1.transData)
ax1.add_collection(col)
ax2 = plt.subplot(122, sharex=ax1, sharey=ax1)
patch = mpatches.PathPatch(star, lw=5, edgecolor='blue', facecolor='red',
alpha=0.7, hatch='*')
patch.set_clip_path(clip_path, ax2.transData)
ax2.add_patch(patch)
ax1.set_xlim([-3, 3])
ax1.set_ylim([-3, 3])
Example #21
| Source File: test_collections.py From python3_ios with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def test_joinstyle():
col = mcollections.PathCollection([], joinstyle='round')
assert col.get_joinstyle() == 'round'
col.set_joinstyle('miter')
assert col.get_joinstyle() == 'miter'
Example #22
| Source File: test_collections.py From python3_ios with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def test_capstyle():
col = mcollections.PathCollection([], capstyle='round')
assert col.get_capstyle() == 'round'
col.set_capstyle('butt')
assert col.get_capstyle() == 'butt'
Example #23
| Source File: test_collections.py From python3_ios with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def test_lslw_bcast():
col = mcollections.PathCollection([])
col.set_linestyles(['-', '-'])
col.set_linewidths([1, 2, 3])
assert col.get_linestyles() == [(None, None)] * 6
assert col.get_linewidths() == [1, 2, 3] * 2
col.set_linestyles(['-', '-', '-'])
assert col.get_linestyles() == [(None, None)] * 3
assert (col.get_linewidths() == [1, 2, 3]).all()
Example #24
| Source File: test_collections.py From python3_ios with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def test_null_collection_datalim():
col = mcollections.PathCollection([])
col_data_lim = col.get_datalim(mtransforms.IdentityTransform())
assert_array_equal(col_data_lim.get_points(),
mtransforms.Bbox.null().get_points())
Example #25
| Source File: test_artist.py From neural-network-animation with MIT License | 5 votes |
|
def test_clipping():
exterior = mpath.Path.unit_rectangle().deepcopy()
exterior.vertices *= 4
exterior.vertices -= 2
interior = mpath.Path.unit_circle().deepcopy()
interior.vertices = interior.vertices[::-1]
clip_path = mpath.Path(vertices=np.concatenate([exterior.vertices,
interior.vertices]),
codes=np.concatenate([exterior.codes,
interior.codes]))
star = mpath.Path.unit_regular_star(6).deepcopy()
star.vertices *= 2.6
ax1 = plt.subplot(121)
col = mcollections.PathCollection([star], lw=5, edgecolor='blue',
facecolor='red', alpha=0.7, hatch='*')
col.set_clip_path(clip_path, ax1.transData)
ax1.add_collection(col)
ax2 = plt.subplot(122, sharex=ax1, sharey=ax1)
patch = mpatches.PathPatch(star, lw=5, edgecolor='blue', facecolor='red',
alpha=0.7, hatch='*')
patch.set_clip_path(clip_path, ax2.transData)
ax2.add_patch(patch)
ax1.set_xlim([-3, 3])
ax1.set_ylim([-3, 3])
Example #26
| Source File: test_collections.py From neural-network-animation with MIT License | 5 votes |
|
def test_null_collection_datalim():
col = mcollections.PathCollection([])
col_data_lim = col.get_datalim(mtransforms.IdentityTransform())
assert_array_equal(col_data_lim.get_points(),
mtransforms.Bbox.null().get_points())
Example #27
| Source File: test_patches.py From neural-network-animation with MIT License | 5 votes |
|
def test_patch_custom_linestyle():
#: A test to check that patches and collections accept custom dash
#: patterns as linestyle and that they display correctly.
star = mpath.Path.unit_regular_star(6)
circle = mpath.Path.unit_circle()
# concatenate the star with an internal cutout of the circle
verts = np.concatenate([circle.vertices, star.vertices[::-1]])
codes = np.concatenate([circle.codes, star.codes])
cut_star1 = mpath.Path(verts, codes)
cut_star2 = mpath.Path(verts + 1, codes)
ax = plt.axes()
patch = mpatches.PathPatch(cut_star1,
linewidth=5, linestyle=(0.0, (5.0, 7.0, 10.0, 7.0)),
facecolor=(1, 0, 0),
edgecolor=(0, 0, 1))
ax.add_patch(patch)
col = mcollections.PathCollection([cut_star2],
linewidth=5, linestyles=[(0.0, (5.0, 7.0, 10.0, 7.0))],
facecolor=(1, 0, 0),
edgecolor=(0, 0, 1))
ax.add_collection(col)
ax.set_xlim([-1, 2])
ax.set_ylim([-1, 2])
Example #28
| Source File: test_patches.py From neural-network-animation with MIT License | 5 votes |
|
def test_patch_alpha_override():
#: Test checks that specifying an alpha attribute for a patch or
#: collection will override any alpha component of the facecolor
#: or edgecolor.
star = mpath.Path.unit_regular_star(6)
circle = mpath.Path.unit_circle()
# concatenate the star with an internal cutout of the circle
verts = np.concatenate([circle.vertices, star.vertices[::-1]])
codes = np.concatenate([circle.codes, star.codes])
cut_star1 = mpath.Path(verts, codes)
cut_star2 = mpath.Path(verts + 1, codes)
ax = plt.axes()
patch = mpatches.PathPatch(cut_star1,
linewidth=5, linestyle='dashdot',
alpha=0.25,
facecolor=(1, 0, 0, 0.5),
edgecolor=(0, 0, 1, 0.75))
ax.add_patch(patch)
col = mcollections.PathCollection([cut_star2],
linewidth=5, linestyles='dashdot',
alpha=0.25,
facecolor=(1, 0, 0, 0.5),
edgecolor=(0, 0, 1, 0.75))
ax.add_collection(col)
ax.set_xlim([-1, 2])
ax.set_ylim([-1, 2])
