我使用的是heart_failure_clinical_records_dataset.csv数据集，您可以在此处找到它：https://www.kaggle.com/abdallahwagih/heart-failure-clinical-records-dataset-eda现在，我使用以下代码创建了初始数据帧的两个子集：
group1 = a[(a["sex"] == 1) & (a["diabetes"] == 1) & (a["high_blood_pressure"] == 0)]group1.head()
group2 = a[(a["sex"] == 1) & (a["diabetes"] == 1) & (a["high_blood_pressure"] == 1)]group2.head()
我希望它们中的每一个的框线图都作为输出并排显示我使用下面的代码分别绘制了它们：
sns.boxplot(x = group1['age'], y = group1['creatinine_phosphokinase'])
sns.boxplot(x = group2['age'], y = group2['creatinine_phosphokinase'])
所以我一直在四处寻找子地块和子地块2grid以及所有这些，这就是我迄今为止提出的
x1 = group1['age']
y1 = group1['creatinine_phosphokinase']
x2 = group2['age']
y2 = group2['creatinine_phosphokinase']
figure, axis = plt.subplots(1, 2)
axis[0, 0].plot(x1, y1)
我遇到了这个错误：
IndexError Traceback (most recent call last)
<ipython-input-86-126627fbbb24> in <module>
----> 1 axis[0, 0].plot(x1, y1)
2 #axis[1, 0].plot(x2, y2)
IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed
我不理解这个错误，所以任何帮助都将不胜感激。
我也试过这个：
plot1 = plt.subplot2grid((3, 3), (0, 0), colspan=2)
plot2 = plt.subplot2grid((3, 3), (0, 2), rowspan=3, colspan=2)
plot2.plot(x1, y1)
我得到了这个错误：
TypeError Traceback (most recent call last)
<ipython-input-89-f3ee75fcd504> in <module>
----> 1 plot2.plot('x1', 'y1')
~anaconda3libsite-packagesmatplotlibaxes_axes.py in plot(self, scalex, scaley, data, *args, **kwargs)
1741 """
1742 kwargs = cbook.normalize_kwargs(kwargs, mlines.Line2D)
-> 1743 lines = [*self._get_lines(*args, data=data, **kwargs)]
1744 for line in lines:
1745 self.add_line(line)
~anaconda3libsite-packagesmatplotlibaxes_base.py in __call__(self, data, *args, **kwargs)
271 this += args[0],
272 args = args[1:]
--> 273 yield from self._plot_args(this, kwargs)
274
275 def get_next_color(self):
~anaconda3libsite-packagesmatplotlibaxes_base.py in _plot_args(self, tup, kwargs)
394 self.axes.xaxis.update_units(x)
395 if self.axes.yaxis is not None:
--> 396 self.axes.yaxis.update_units(y)
397
398 if x.shape[0] != y.shape[0]:
~anaconda3libsite-packagesmatplotlibaxis.py in update_units(self, data)
1464 neednew = self.converter != converter
1465 self.converter = converter
-> 1466 default = self.converter.default_units(data, self)
1467 if default is not None and self.units is None:
1468 self.set_units(default)
~anaconda3libsite-packagesmatplotlibcategory.py in default_units(data, axis)
105 # the conversion call stack is default_units -> axis_info -> convert
106 if axis.units is None:
--> 107 axis.set_units(UnitData(data))
108 else:
109 axis.units.update(data)
~anaconda3libsite-packagesmatplotlibaxis.py in set_units(self, u)
1539 self.units = u
1540 self._update_axisinfo()
-> 1541 self.callbacks.process('units')
1542 self.callbacks.process('units finalize')
1543 self.stale = True
~anaconda3libsite-packagesmatplotlibcbook__init__.py in process(self, s, *args, **kwargs)
227 except Exception as exc:
228 if self.exception_handler is not None:
--> 229 self.exception_handler(exc)
230 else:
231 raise
~anaconda3libsite-packagesmatplotlibcbook__init__.py in _exception_printer(exc)
79 def _exception_printer(exc):
80 if _get_running_interactive_framework() in ["headless", None]:
---> 81 raise exc
82 else:
83 traceback.print_exc()
~anaconda3libsite-packagesmatplotlibcbook__init__.py in process(self, s, *args, **kwargs)
222 if func is not None:
223 try:
--> 224 func(*args, **kwargs)
225 # this does not capture KeyboardInterrupt, SystemExit,
226 # and GeneratorExit
~anaconda3libsite-packagesmatplotliblines.py in recache_always(self)
646
647 def recache_always(self):
--> 648 self.recache(always=True)
649
650 def recache(self, always=False):
~anaconda3libsite-packagesmatplotliblines.py in recache(self, always)
651 if always or self._invalidx:
652 xconv = self.convert_xunits(self._xorig)
--> 653 x = _to_unmasked_float_array(xconv).ravel()
654 else:
655 x = self._x
~anaconda3libsite-packagesmatplotlibcbook__init__.py in _to_unmasked_float_array(x)
1287 return np.ma.asarray(x, float).filled(np.nan)
1288 else:
-> 1289 return np.asarray(x, float)
1290
1291
~anaconda3libsite-packagesnumpycore_asarray.py in asarray(a, dtype, order, like)
100 return _asarray_with_like(a, dtype=dtype, order=order, like=like)
101
--> 102 return array(a, dtype, copy=False, order=order)
103
104
TypeError: float() argument must be a string or a number, not 'pandas._libs.interval.Interval'
将axis[0, 0]更改为axis[0]将解决此问题。
axis[0].plot(x1, y1)
axis[1].plot(x2, y2)
如果你只想并排绘制这些方框图，那么：
fig, ax =plt.subplots(1, 2, figsize=(25, 8))
sns.boxplot(x = group1['age'], y = group1['creatinine_phosphokinase'], ax=ax[0])
sns.boxplot(x = group2['age'], y = group2['creatinine_phosphokinase'], ax=ax[1])
fig.show()
这应该工作