使用seaborn包的三個y軸的嵌套條形圖

使用 python seaborn 包，我試圖用三個不同的 y 軸繪制嵌套條形圖，如下圖所示：

我使用的代碼是：

import matplotlib.pyplot as plt
from matplotlib import rc
import numpy as np
import seaborn as sns
#plt.style.use(['science'])

rc('font', **{'family': 'serif', 'serif': ['Computer Modern']})
rc('text', usetex=True)

HV = [388, 438]
YS = [1070, 1200]
UTS = [1150, 1400]
Z = [15, 12.5]

x = [1, 2]
fig, ax1 = plt.subplots(figsize=(5, 5.5))

colors=sns.color_palette("rocket",4)


ax1 = sns.barplot(x[0],YS[0],color="blue")
ax1 = sns.barplot(x[0],color="blue")

ax1 = sns.barplot(x[1],YS[1],color="blue")
ax1 = sns.barplot(x[1],UTS[1],color="blue")

ax2 = ax1.twinx()
ax2 = sns.barplot(x[0], HV[0],color="green")
ax2 = sns.barplot(x[1], HV[1],color="green")

ax3 = ax1.twinx()
ax3 = sns.barplot(x[0],Z[0],color="red")
ax3 = sns.barplot(x[1],Z[1],color="red")
#ax3.spines['right'].set_position(('outward',60))
ax3.spines['right'].set_position(('axes',1.15))

ax1.set_ylabel("First",color="blue")
ax2.set_ylabel("Second",color="green")
ax3.set_ylabel("Third",color="red")

ax1.tick_params(axis='y',colors="blue")
ax2.tick_params(axis='y',colors="green")
ax3.tick_params(axis='y',colors="red")

ax2.spines['right'].set_color("green")  
ax3.spines['right'].set_color("red")
ax3.spines['left'].set_color("blue")

plt.show()

我收到以下錯誤：

Traceback (most recent call last):
  File "/usr/lib/python3/dist-packages/seaborn/utils.py", line 531, in categorical_order
    order = values.cat.categories
AttributeError: 'int' object has no attribute 'cat'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/lib/python3/dist-packages/seaborn/utils.py", line 534, in categorical_order
    order = values.unique()
AttributeError: 'int' object has no attribute 'unique'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/sspenkulinti/these/thesis_E185_fatigue/test_matrix/E185_properties_AB_HT.py", line 21, in <module>
    ax1 = sns.barplot(x[0],YS[0],color="blue")
  File "/usr/lib/python3/dist-packages/seaborn/categorical.py", line 3147, in barplot
    plotter = _BarPlotter(x, y, hue, data, order, hue_order,
  File "/usr/lib/python3/dist-packages/seaborn/categorical.py", line 1614, in __init__
    self.establish_variables(x, y, hue, data, orient,
  File "/usr/lib/python3/dist-packages/seaborn/categorical.py", line 200, in establish_variables
    group_names = categorical_order(groups, order)
  File "/usr/lib/python3/dist-packages/seaborn/utils.py", line 536, in categorical_order
    order = pd.unique(values)
  File "/usr/lib/python3/dist-packages/pandas/core/algorithms.py", line 395, in unique
    values = _ensure_arraylike(values)
  File "/usr/lib/python3/dist-packages/pandas/core/algorithms.py", line 204, in _ensure_arraylike
    inferred = lib.infer_dtype(values, skipna=False)
  File "pandas/_libs/lib.pyx", line 1251, in pandas._libs.lib.infer_dtype
TypeError: 'int' object is not iterable

uj5u.com熱心網友回復：

該錯誤是因為您不能sns.barplot使用單個數字作為第一個引數進行呼叫。x 值需要是一個串列。

要使用 seaborn 獲得您想要的，資料需要像來自資料框一樣呈現。 hue_order需要為每個條保留足夠的空間，即使在那里沒有繪制任何內容。

import matplotlib.pyplot as plt
from matplotlib import rc
import numpy as np
import seaborn as sns

HV = [388, 438]
YS = [1070, 1200]
UTS = [1150, 1400]
Z = [15, 12.5]

x = ["As built", "200oC-850oC"]
names = ['YS', 'UTS', 'HV', 'Z']
fig, ax1 = plt.subplots(figsize=(9, 5.5))

colors = sns.color_palette("tab10", len(names))

sns.barplot(x=x   x, y=YS   UTS, hue=[names[0]] * len(x)   [names[1]] * len(x),
            hue_order=names, palette=colors, alpha=0.7, ax=ax1)
# ax1 will already contain the full legend, the third handle needs to
# be updated to show the hatching
ax1.legend_.legendHandles[2].set_hatch('///')

ax2 = ax1.twinx()
sns.barplot(x=x, y=HV, hue=[names[2]] * len(x), hue_order=names, palette=colors, hatch='//', alpha=0.7, ax=ax2)
ax2.legend_.remove() # seaborn automatically creates a new legend

ax3 = ax1.twinx()
sns.barplot(x=x, y=Z, hue=[names[3]] * len(x), hue_order=names, palette=colors, alpha=0.7, ax=ax3)
ax3.legend_.remove()

ax3.spines['right'].set_position(('axes', 1.15))

ax1.set_ylabel("First", color=colors[0])
ax2.set_ylabel("Second", color=colors[2])
ax3.set_ylabel("Third", color=colors[3])

ax1.tick_params(axis='y', colors=colors[0])
ax2.tick_params(axis='y', colors=colors[2])
ax3.tick_params(axis='y', colors=colors[3])

ax2.spines['right'].set_color(colors[2])
ax3.spines['right'].set_color(colors[3])

plt.tight_layout()
plt.show()

標籤：Python python-3.x matplotlib 海运

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