带双标题的Matplotlib表
Hi可以使matplotlib表具有这样的“双标题” (注意虚线)带双标题的Matplotlib表,matplotlib,Matplotlib,Hi可以使matplotlib表具有这样的“双标题” (注意虚线) 您可以使用另一个没有数据作为标题的表来实现这一点。也就是说,创建空表,其列标签将作为表的标题。让我们考虑演示示例。首先,添加表header\u 0和header\u 1。第二步,更正标题和表的参数bbox,以正确定位所有表。由于表是重叠的,所以包含数据的表应该是最后一个 import numpy as np import matplotlib.pyplot as plt data = [[ 66386, 174296,
您可以使用另一个没有数据作为标题的表来实现这一点。也就是说,创建空表,其列标签将作为表的标题。让我们考虑演示示例。首先,添加表
header\u 0
和header\u 1
。第二步,更正标题和表的参数bbox
,以正确定位所有表。由于表是重叠的,所以包含数据的表应该是最后一个
import numpy as np
import matplotlib.pyplot as plt
data = [[ 66386, 174296, 75131, 577908, 32015],
[ 58230, 381139, 78045, 99308, 160454],
[ 89135, 80552, 152558, 497981, 603535],
[ 78415, 81858, 150656, 193263, 69638],
[ 139361, 331509, 343164, 781380, 52269]]
columns = ('Freeze', 'Wind', 'Flood', 'Quake', 'Hail')
rows = ['%d year' % x for x in (100, 50, 20, 10, 5)]
values = np.arange(0, 2500, 500)
value_increment = 1000
# Get some pastel shades for the colors
colors = plt.cm.BuPu(np.linspace(0, 0.5, len(rows)))
n_rows = len(data)
index = np.arange(len(columns)) + 0.3
bar_width = 0.4
# Initialize the vertical-offset for the stacked bar chart.
y_offset = np.array([0.0] * len(columns))
# Plot bars and create text labels for the table
cell_text = []
for row in range(n_rows):
plt.bar(index, data[row], bar_width, bottom=y_offset, color=colors[row])
y_offset = y_offset + data[row]
cell_text.append(['%1.1f' % (x/1000.0) for x in y_offset])
# Reverse colors and text labels to display the last value at the top.
colors = colors[::-1]
cell_text.reverse()
# Add headers and a table at the bottom of the axes
header_0 = plt.table(cellText=[['']*2],
colLabels=['Extra header 1', 'Extra header 2'],
loc='bottom',
bbox=[0, -0.1, 0.8, 0.1]
)
header_1 = plt.table(cellText=[['']],
colLabels=['Just Hail'],
loc='bottom',
bbox=[0.8, -0.1, 0.2, 0.1]
)
the_table = plt.table(cellText=cell_text,
rowLabels=rows,
rowColours=colors,
colLabels=columns,
loc='bottom',
bbox=[0, -0.35, 1.0, 0.3]
)
# Adjust layout to make room for the table:
plt.subplots_adjust(left=0.2, bottom=-0.2)
plt.ylabel("Loss in ${0}'s".format(value_increment))
plt.yticks(values * value_increment, ['%d' % val for val in values])
plt.xticks([])
plt.title('Loss by Disaster')
plt.show()
如果额外的标题是对称的,或者合并了等量的“正常”标题,则只需添加一个额外的标题表并更正数据表的bbox
,如下所示(与删除列的示例相同):
import numpy as np
import matplotlib.pyplot as plt
data = [[ 66386, 174296, 75131, 577908, 32015],
[ 58230, 381139, 78045, 99308, 160454],
[ 89135, 80552, 152558, 497981, 603535],
[ 78415, 81858, 150656, 193263, 69638],
[ 139361, 331509, 343164, 781380, 52269]]
columns = ('Freeze', 'Wind', 'Flood', 'Quake', 'Hail')
rows = ['%d year' % x for x in (100, 50, 20, 10, 5)]
values = np.arange(0, 2500, 500)
value_increment = 1000
# Get some pastel shades for the colors
colors = plt.cm.BuPu(np.linspace(0, 0.5, len(rows)))
n_rows = len(data)
index = np.arange(len(columns)) + 0.3
bar_width = 0.4
# Initialize the vertical-offset for the stacked bar chart.
y_offset = np.array([0.0] * len(columns))
# Plot bars and create text labels for the table
cell_text = []
for row in range(n_rows):
plt.bar(index, data[row], bar_width, bottom=y_offset, color=colors[row])
y_offset = y_offset + data[row]
cell_text.append(['%1.1f' % (x/1000.0) for x in y_offset])
# Reverse colors and text labels to display the last value at the top.
colors = colors[::-1]
cell_text.reverse()
# Add headers and a table at the bottom of the axes
header_0 = plt.table(cellText=[['']*2],
colLabels=['Extra header 1', 'Extra header 2'],
loc='bottom',
bbox=[0, -0.1, 0.8, 0.1]
)
header_1 = plt.table(cellText=[['']],
colLabels=['Just Hail'],
loc='bottom',
bbox=[0.8, -0.1, 0.2, 0.1]
)
the_table = plt.table(cellText=cell_text,
rowLabels=rows,
rowColours=colors,
colLabels=columns,
loc='bottom',
bbox=[0, -0.35, 1.0, 0.3]
)
# Adjust layout to make room for the table:
plt.subplots_adjust(left=0.2, bottom=-0.2)
plt.ylabel("Loss in ${0}'s".format(value_increment))
plt.yticks(values * value_increment, ['%d' % val for val in values])
plt.xticks([])
plt.title('Loss by Disaster')
plt.show()
header = plt.table(cellText=[['']*2],
colLabels=['Extra header 1', 'Extra header 2'],
loc='bottom'
)
the_table = plt.table(cellText=cell_text,
rowLabels=rows,
rowColours=colors,
colLabels=columns,
loc='bottom',
bbox=[0, -0.35, 1.0, 0.3]
)