Using the python seaborn package I was trying to plot the nested bar graphs with three different y-axes as shown in the below figure:
And the code that I have used is :
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()
And I’m getting the following error:
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
Answers:
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Method 1
The error is because you can’t call sns.barplot with a single number as first parameter. The x-values need to be a list.
To get want you want using seaborn, the data needs to be presented as if it comes from a dataframe. hue_order is needed to preserve enough space for each of the bars, even when nothing is plotted there.
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()
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