我试图让我的子图共享同一个轴，因为它们目前是不同的(看起来图中的圆圈本身并没有完全对齐)。当我尝试将 sharex=True 传递到 ax = plt.subplot(1, 5, row+1, polar=True, sharex=True) 时，我返回一个错误提示TypeError:无法创建对“bool”对象的弱引用。
这是我的图目前的样子，正如您应该能够看到的那样，图中的轴(圆圈)没有完全对齐，我不知道如何使用 plt.subplot< 对齐它们.
有人有什么建议吗？
重现示例的代码:
import matplotlib.pyplot as plt
import pandas as pd
def make_spider(row, title, color):
import math
categories = list(df)
N = len(categories)
angles = [n / float(N) * 2 * math.pi for n in range(N)]
angles += angles[:1]
ax = plt.subplot(1, 5, row+1, polar=True)
plt.xticks(angles[:-1], categories, color='grey', size=8)
values = df.iloc[row].values.flatten().tolist()
values += values[:1]
ax.plot(angles, values, color=color, linewidth=2, linestyle='solid')
ax.fill(angles, values, color=color, alpha = .4)
plt.gca().set_rmax(.2)
my_dpi = 40
plt.figure(figsize=(1000/my_dpi, 1000/my_dpi), dpi=96)
my_palette = plt.cm.get_cmap('Set2', len(df.index)+1)
for row in range(0, len(df.index)):
make_spider( row = row, title='Cluster: ' + str(row), color=my_palette(row) )
数据框:
df = pd.DataFrame.from_dict({"no_rooms":{"0":-0.3470532925,"1":-0.082144001,"2":-0.082144001,"3":-0.3470532925,"4":-0.3470532925},"total_area":{"0":-0.1858487321,"1":-0.1685491141,"2":-0.1632483955,"3":-0.1769700284,"4":-0.0389887094},"car_park_spaces":{"0":-0.073703681,"1":-0.073703681,"2":-0.073703681,"3":-0.073703681,"4":-0.073703681},"house_price":{"0":-0.2416123064,"1":-0.2841806825,"2":-0.259622004,"3":-0.3529449824,"4":-0.3414842657},"pop_density":{"0":-0.1271390651,"1":-0.3105853643,"2":-0.2316607937,"3":-0.3297832328,"4":-0.4599021194},"business_rate":{"0":-0.1662745006,"1":-0.1426329043,"2":-0.1577528867,"3":-0.163560133,"4":-0.1099718326},"noqual_pc":{"0":-0.0251535462,"1":-0.1540641646,"2":-0.0204666924,"3":-0.0515740013,"4":-0.0445135996},"level4qual_pc":{"0":-0.0826103951,"1":-0.1777759951,"2":-0.114263357,"3":-0.1787044751,"4":-0.2709496389},"badhealth_pc":{"0":-0.105481688,"1":-0.1760349683,"2":-0.128215043,"3":-0.1560577648,"4":-0.1760349683}})
请您参考如下方法:
最好在绘图之前先创建共享。已共享轴的绘图。
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
dic = {"no_rooms":{"0":-0.347,"1":-0.082,"2":-0.082, "3":-0.347,"4":-0.347},
"total_area":{"0":-0.185,"1":-0.168,"2":-0.163, "3":-0.176,"4":-0.038},
"car_park_spaces":{"0":-0.073,"1":-0.073,"2":-0.073, "3":-0.073,"4":-0.073},
"house_price":{"0":-0.241,"1":-0.284,"2":-0.259,"3":-0.352,"4":-0.341},
"pop_density":{"0":-0.127,"1":-0.310,"2":-0.231,"3":-0.329,"4":-0.459},
"business_rate":{"0":-0.166,"1":-0.142,"2":-0.157,"3":-0.163,"4":-0.109},
"noqual_pc":{"0":-0.025,"1":-0.15,"2":-0.020,"3":-0.051,"4":-0.044},
"level4qual_pc":{"0":-0.082,"1":-0.17,"2":-0.114,"3":-0.178,"4":-0.270},
"badhealth_pc":{"0":-0.105,"1":-0.176,"2":-0.128,"3":-0.156,"4":-0.176}}
df = pd.DataFrame.from_dict(dic)
def make_spider(row, title, color, ax=None):
categories = list(df)
N = len(categories)
angles = np.arange(N+1)/N*2*np.pi
ax.set_xticks(angles[:-1])
ax.set_xticklabels(categories, color='grey', size=8)
ax.tick_params(labelleft=True)
values = df.iloc[row].values.flatten().tolist()
values += values[:1]
ax.plot(angles, values, color=color, linewidth=2, linestyle='solid')
ax.fill(angles, values, color=color, alpha = .4)
fig, axes = plt.subplots(ncols=len(df.index), subplot_kw=dict(polar=True), sharey=True,
figsize=(15,8))
my_palette = plt.cm.get_cmap('Set2', len(df.index)+1)
for row, ax in enumerate(axes):
make_spider( row = row, title='Cluster: ' + str(row), color=my_palette(row), ax=ax )
plt.show()
