英文:
matplotlib supylabel on second axis of multiplot
问题
I'm not finding it possible to add a second supylabel for a right-hand y-axis of a multiplot.
Can anyone please confirm 1) whether or not it can be done and/or 2) provide guidance on how?
I am trying to achieve this:
Because there are a variable number of subplots (sometimes an odd number, sometimes even) across the broader project, using subplot-level labeling to label the "middle" subplot would be problematic.
I'm presently accomplishing with figure level text. Which looks fine within python, but the right label gets cut-off by savefig. I can only get it to work if I dummy-in null ax-level y-labels " \n".
nrows = len(dftmp.GroupingCol.unique())ncols = 1fig, ax = plt.subplots(nrows=nrows, ncols=ncols, figsize=(14,10), constrained_layout=True,sharex=True)for e, ep in enumerate(dftmp.GroupingCol.unique(), start=1):# define a figure axis and plot dataax = plt.subplot(nrows, ncols, e)dftmp["ValueCol"].loc[dftmp["GroupingCol"]==ep].plot(ax=ax, kind="bar", color=barcolor_lst)# horizontal reference line (zero change)zero_line = plt.axhline(0, color='k', linewidth=0.8)# y-axis extent limitsax.set ylim([50*(-1.1), 50*1.1])# create right-hand y-axisax2 = ax.twinx()# y-axis extent limitsax2.set ylim([200*(-1), 200])# null y-label placeholder to accommodate fig-level pseudo-supylabelax2.set_ylabel(" \n")# create supylabel for left-axissupy_left = fig.supylabel("Left-hand y-axis super label", fontweight="bold")# use fig-level text as pseudo-supylabel for right-axisfig.text(x=0.97, y=0.5, s="Right-hand y-axis super label\n\n", size=13, fontweight='bold', rotation=270, ha='center', va='center')# create super-label for x-axissupx = fig.supxlabel("Bottom super label", fontweight="bold")
In the absence of the fig.text line, I tried naming a second supylabel as a different object and the code runs, but doesn't produce the label.
supy_right = fig.supylabel("Cumulative net change (m^3)", fontweight="bold", position=(0.9,0.5))
英文:
I'm not finding it possible to add a second supylabel for a right-hand y-axis of a multiplot.
Can anyone please confirm 1) whether or not it can be done and/or 2)provide guidance on how?
I am trying to achieve this:
Because there are a variable number of subplots (sometimes an odd number, sometimes even) across the broader project, using subplot-level labelling to label the "middle" subplot would be problematic.
I'm presently accomplishing with figure level text. Which looks fine within python, but the right label gets cut-off by savefig. I can only get it to work if I dummy-in null ax-level y-labels " \n".
nrows = len(dftmp.GroupingCol.unique())ncols = 1fig, ax = plt.subplots(nrows=nrows, ncols=ncols, figsize=(14,10), constrained_layout=True,sharex=True)for e, ep in enumerate(dftmp.GroupingCol.unique(), start=1):# define a figure axis and plot dataax = plt.subplot(nrows, ncols, e)dftmp["ValueCol"].loc[dftmp["GroupingCol"]==ep].plot(ax=ax, kind="bar", color=barcolor_lst) #, use_index=False)# horizontal reference line (zero change)zero_line = plt.axhline(0, color='k', linewidth=0.8)# y-axis extent limitsax.set_ylim([50*(-1.1), 50*1.1])# create right-hand y-axisax2 = ax.twinx()# y-axis extent limitsax2.set_ylim([200*(-1), 200])# null y-label placeholder to accommodate fig-level pseudo-supylabelax2.set_ylabel(" \n") # requires space and newline to work# create supylabel for left-axissupy_left = fig.supylabel("Left-hand y-axis super label", fontweight="bold") #, pad = 7)#, fontdict=fontdict) #fontweight='bold')# use fig-level text as pseudo-supylable for right-axisfig.text(x=0.97, y=0.5, s="Right-hand y-axis super label\n\n", size=13, fontweight='bold', rotation=270, ha='center', va='center')# create super-label for x-axissupx = fig.supxlabel("Bottom super label", fontweight="bold")
In the absence of the fig.text line I tried naming a second supylabel as a different object and the code runs, but doesn't produce the label.
supy_right = fig.supylabel("Cumulative net change (m^3)", fontweight="bold", position=(0.9,0.5))
答案1
得分: 1
import matplotlib.pyplot as plt
fig = plt.figure(figsize=(4, 4))
dummy axes 1
ax = fig.add_subplot(1, 1, 1)
ax.set_xticks([])
ax.set_yticks([])
[ax.spines[side].set_visible(False) for side in ('left', 'top', 'right', 'bottom')]
ax.patch.set_visible(False)
ax.set_xlabel('x label', labelpad=30)
ax.set_ylabel('y label left', labelpad=30)
dummy axes 2 for right ylabel
ax = fig add_subplot(1, 1, 1)
ax.set_xticks([])
ax.set_yticks([])
[ax.spines[side].set_visible(False) for side in ('left', 'top', 'right', 'bottom')]
ax.patch.set_visible(False)
ax.yaxis.set_label_position('right')
ax.set_ylabel('y label right', labelpad=30)
actual data axes
num_rows = 4
for i in range(num_rows):
ax = fig.add_subplot(num_rows, 1, i + 1)
...
fig.tight_layout()
英文:
I have found the suplabels to be a little unreliable in many cases, so I resort to low-level tricks in cases like these:
import matplotlib.pyplot as pltfig = plt.figure(figsize=(4, 4))# dummy axes 1ax = fig.add_subplot(1, 1, 1)ax.set_xticks([])ax.set_yticks([])[ax.spines[side].set_visible(False) for side in ('left', 'top', 'right', 'bottom')]ax.patch.set_visible(False)ax.set_xlabel('x label', labelpad=30)ax.set_ylabel('y label left', labelpad=30)# dummy axes 2 for right ylabelax = fig.add_subplot(1, 1, 1)ax.set_xticks([])ax.set_yticks([])[ax.spines[side].set_visible(False) for side in ('left', 'top', 'right', 'bottom')]ax.patch.set_visible(False)ax.yaxis.set_label_position('right')ax.set_ylabel('y label right', labelpad=30)# actual data axesnum_rows = 4for i in range(num_rows):ax = fig.add_subplot(num_rows, 1, i + 1)...fig.tight_layout()
You need to adjust the labelpad values according to your liking. The rest can be taken care of by fig.tight_layout() (you might need to specify the rect though).
EDIT: having re-read your question, have you tried increasing the pad_inches value when calling savefig()?
通过集体智慧和协作来改善编程学习和解决问题的方式。致力于成为全球开发者共同参与的知识库，让每个人都能够通过互相帮助和分享经验来进步。
评论