|
首先如果柱状图中有中文，比如X轴和Y轴标签需要写中文，解决中文无法识别和乱码的情况，加下面这行代码就可以解决了：
plt.rcParams['font.sans-serif'] = ['SimHei'] # 解决中文乱码
以下总共展示了三种画不同需求的柱状图：
画多组两个并列的柱状图：
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
plt.rcParams['font.sans-serif'] = ['SimHei']
labels = ['G1', 'G2', 'G3', 'G4', 'G5']
men_means = [20, 34, 30, 35, 27]
women_means = [25, 32, 34, 20, 25]
x = np.arange(len(labels)) # the label locations
width = 0.35 # the width of the bars
fig, ax = plt.subplots()
rects1 = ax.bar(x - width/2, men_means, width, label='Men')
rects2 = ax.bar(x + width/2, women_means, width, label='Women')
# Add some text for labels, title and custom x-axis tick labels, etc.
ax.set_ylabel('Scores')
ax.set_title('Scores by group and gender')
ax.set_xticks(x)
ax.set_xticklabels(labels)
ax.legend()
def autolabel(rects):
"""Attach a text label above each bar in *rects*, displaying its height."""
for rect in rects:
height = rect.get_height()
ax.annotate('{}'.format(height),
xy=(rect.get_x() + rect.get_width() / 2, height),
xytext=(0, 3), # 3 points vertical offset
textcoords="offset points",
ha='center', va='bottom')
autolabel(rects1)
autolabel(rects2)
fig.tight_layout()
plt.show()
绘制好的柱状图如下： 
画两组5个并列的柱状图：
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
plt.rcParams['font.sans-serif']=['SimHei'] # 解决中文乱码
labels = ['第一项', '第二项']
a = [4.0, 3.8]
b = [26.9, 48.1]
c = [55.6, 63.0]
d = [59.3, 81.5]
e = [89, 90]
x = np.arange(len(labels)) # 标签位置
width = 0.1 # 柱状图的宽度，可以根据自己的需求和审美来改
fig, ax = plt.subplots()
rects1 = ax.bar(x - width*2, a, width, label='a')
rects2 = ax.bar(x - width+0.01, b, width, label='b')
rects3 = ax.bar(x + 0.02, c, width, label='c')
rects4 = ax.bar(x + width+ 0.03, d, width, label='d')
rects5 = ax.bar(x + width*2 + 0.04, e, width, label='e')
# 为y轴、标题和x轴等添加一些文本。
ax.set_ylabel('Y轴', fontsize=16)
ax.set_xlabel('X轴', fontsize=16)
ax.set_title('这里是标题')
ax.set_xticks(x)
ax.set_xticklabels(labels)
ax.legend()
def autolabel(rects):
"""在*rects*中的每个柱状条上方附加一个文本标签，显示其高度"""
for rect in rects:
height = rect.get_height()
ax.annotate('{}'.format(height),
xy=(rect.get_x() + rect.get_width() / 2, height),
xytext=(0, 3), # 3点垂直偏移
textcoords="offset points",
ha='center', va='bottom')
autolabel(rects1)
autolabel(rects2)
autolabel(rects3)
autolabel(rects4)
autolabel(rects5)
fig.tight_layout()
plt.show()
绘制好的柱状图如下：  3. 要将柱状图的样式画成适合论文中使用的黑白并且带花纹的样式：
import matplotlib.pyplot as plt
import numpy as np
plt.rcParams['font.sans-serif'] = ['SimHei'] # 解决中文乱码
labels = ['第一项', '第二项']
a = [50, 80]
b = [37, 69]
c = [78, 60]
d = [66, 86]
e = [80, 95]
# marks = ["o", "X", "+", "*", "O"]
x = np.arange(len(labels)) # 标签位置
width = 0.1 # 柱状图的宽度
fig, ax = plt.subplots()
rects1 = ax.bar(x - width * 2, a, width, label='a', hatch="...", color='w', edgecolor="k")
rects2 = ax.bar(x - width + 0.01, b, width, label='b', hatch="oo", color='w', edgecolor="k")
rects3 = ax.bar(x + 0.02, c, width, label='c', hatch="++", color='w', edgecolor="k")
rects4 = ax.bar(x + width + 0.03, d, width, label='d', hatch="XX", color='w', edgecolor="k")
rects5 = ax.bar(x + width * 2 + 0.04, e, width, label='e', hatch="**", color='w', edgecolor="k")
# 为y轴、标题和x轴等添加一些文本。
ax.set_ylabel('Y', fontsize=16)
ax.set_xlabel('X', fontsize=16)
ax.set_title('标题')
ax.set_xticks(x)
ax.set_xticklabels(labels)
ax.legend()
 以上
|