Question

我试图使子图共享相同的轴，因为它们当前是不同的（图中的圆圈似乎未完全对齐）。当我尝试将sharex=True传递到ax = plt.subplot(1, 5, row+1, polar=True, sharex=True)时，返回错误提示TypeError: cannot create weak reference to 'bool' object。

这是我的绘图当前的样子，正如您应该看到的，绘图内的轴（圆）未完全对齐，我无法弄清楚如何使用plt.subplot对齐它们。 / p>

有人有什么建议吗？

代码重现示例：

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}})

Answer 1

最好创建绘图的共享先验。到已共享轴的图。

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()

Answer 2

必须为所有轴设置相同的y_lim / r_lim和y_ticks / r_ticks。例如，可以通过将最后一个轴参考传递到plt.subplot来为所有轴设置sharey来完成：

def make_spider(row, title, color, last_ax=None):    
    import math    
    categories = list(df)
    N = len(categories)    
    angles = [n / float(N) * 2 * math.pi for n in range(N)]
    angles += angles[:1]    
    # add last ax as sharey here:
    ax = plt.subplot(1, 5, row+1, polar=True, sharey=last_ax)    
    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)

    # return axes to store them
    return plt.gca()  


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)    

axs = []  # store axes
for row in range(0, len(df.index)):
    if row != 0:  # if not the first subplot, pass last ax as argument
        axs.append(
            make_spider(row=row, title='Cluster: ' + str(row), color=my_palette(row), 
            last_ax=axs[row - 1]))
    else:
        axs.append(
            make_spider(row=row, title='Cluster: ' + str(row), color=my_palette(row)))

或通过将限制/刻度直接传递到图上来

def make_spider(row, title, color, rlim, rticks):    
    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)    
    ax.set_rlim(rlim)
    ax.set_rticks(rticks)
    # return axes to store them (not needed but may help later)
    return ax

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)    

axs = []
for row in range(0, len(df.index)):
    axs.append(
        make_spider(
            row=row, title='Cluster: ' + str(row), color=my_palette(row), 
            rlim=(-.5, 0), rticks=[-.3, -.2, -.1, 0.]))

如何使用matplotlib

2 个答案: