[英]Multiple histograms on same graph with Seaborn `displot` (not `distplot`)
[英]Seaborn distplot errors when generating histograms for single-element series
當我使用seaborn的distplot (在0.7.1中)可視化直方圖時,如果輸入系列僅包含單個元素,則會出現錯誤。 換句話說,就像
import numpy as np
import seaborn as sns
num_elements = 1000
sns.distplot(np.random.normal(10, 1, num_elements))
工作num_elements
漂亮,但如果我將num_elements
設置為1,我會收到以下錯誤:
In [8]: num_elements = 1
In [9]: sns.distplot(np.random.normal(10, 1, num_elements))
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-9-35e3f8293582> in <module>()
----> 1 sns.distplot(np.random.normal(10, 1, num_elements))
/usr/local/lib/python2.7/site-packages/seaborn/distributions.pyc in distplot(a, bins, hist, kde, rug, fit, hist_kws, kde_kws, rug_kws, fit_kws, color, vertical, norm_hist, axlabel, label, ax)
207 if hist:
208 if bins is None:
--> 209 bins = min(_freedman_diaconis_bins(a), 50)
210 hist_kws.setdefault("alpha", 0.4)
211 hist_kws.setdefault("normed", norm_hist)
/usr/local/lib/python2.7/site-packages/seaborn/distributions.pyc in _freedman_diaconis_bins(a)
28 # From http://stats.stackexchange.com/questions/798/
29 a = np.asarray(a)
---> 30 h = 2 * iqr(a) / (len(a) ** (1 / 3))
31 # fall back to sqrt(a) bins if iqr is 0
32 if h == 0:
TypeError: len() of unsized object
在稍微探討了源代碼之后,我發現通過指定bin的數量可以避免這個錯誤。 但這讓我開啟了另一個:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-10-6e6569de737a> in <module>()
----> 1 sns.distplot(np.random.normal(10, 1, num_elements), bins=10)
/usr/local/lib/python2.7/site-packages/seaborn/distributions.pyc in distplot(a, bins, hist, kde, rug, fit, hist_kws, kde_kws, rug_kws, fit_kws, c\olor, vertical, norm_hist, axlabel, label, ax)
213 hist_color = hist_kws.pop("color", color)
214 ax.hist(a, bins, orientation=orientation,
--> 215 color=hist_color, **hist_kws)
216 if hist_color != color:
217 hist_kws["color"] = hist_color
/usr/local/lib/python2.7/site-packages/matplotlib/__init__.pyc in inner(ax, *args, **kwargs)
1817 warnings.warn(msg % (label_namer, func.__name__),
1818 RuntimeWarning, stacklevel=2)
-> 1819 return func(ax, *args, **kwargs)
1820 pre_doc = inner.__doc__
1821 if pre_doc is None:
/usr/local/lib/python2.7/site-packages/matplotlib/axes/_axes.pyc in hist(self, x, bins, range, normed, weights, cumulative, bottom, histtype, align, orientation, rwidth, log, color, label, stacked, **kwargs)
5933 x = np.array([[]])
5934 else:
-> 5935 x = _normalize_input(x, 'x')
5936 nx = len(x) # number of datasets
5937
/usr/local/lib/python2.7/site-packages/matplotlib/axes/_axes.pyc in _normalize_input(inp, ename)
5875 else:
5876 raise ValueError(
-> 5877 "{ename} must be 1D or 2D".format(ename=ename))
5878 if inp.shape[1] < inp.shape[0]:
5879 warnings.warn(
ValueError: x must be 1D or 2D
這里發生了什么? 是否有一些解決方法可以用來強制seaborn為這個單個元素系列繪制直方圖? 對於上下文,我需要這個,因為我在共享軸上繪制多個直方圖,描述不同的條件。 在某些情況下,在這種情況下可能只有一個元素,但我應該只能繪制一個條形圖!
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