Pyplot在水平条形图中出现问题

Question

我正在绘制以下数据（存储为＆＃39; sample_bar_plot.csv＆＃39;在C：\ Plot中）：

    X           Y
A   12.60862266 13.88257739
B   18.69422707 20.66625712
C   13.54164413 18.49381352
D   11.35545631 13.12407667
E   9.979860808 11.33701054
F   8.496320019 8.838461563
G   11.94646631 16.28188825

绘制水平输出的Python代码如下：

import numpy as np
import matplotlib.pyplot as plt
import math, pdb, csv
import pylab, operator
from matplotlib import rcParams

base_dir  = 'C:\\Plot\\'
file_name = 'sample_bar_plot.csv'
header    = True
csv_data  = {}

with open(base_dir+file_name, mode='r') as infile:
    reader   = csv.reader(infile)
    for rows in reader:
        if header == True:
            header = False
            continue
        else:
            csv_data[rows[0]]=rows[1:3]

print csv_data

num_keys = len(csv_data.keys())
num_vals = len(csv_data.values()[0])

fig = plt.figure(figsize=(8,6))
ax = fig.add_axes([0.15, 0.15, 0.65, 0.7])
# remove top and right spines and turn ticks off if no spine
ax.spines['right'].set_color('none')
ax.spines['top'].set_color('none')
ax.yaxis.set_tick_params(size=0)
ax.xaxis.set_ticks_position('bottom')
# postition of tick out
ax.tick_params(axis='bottom', direction='in', width=2, length=6,
                   labelsize=24, pad=8)

ax.spines['left'].set_linewidth(2)
ax.spines['bottom'].set_linewidth(2)
ax.set_yticklabels(['']+csv_data.keys())   
rcParams['ytick.direction'] = 'out'

# Find maximum value in dictionary
max_val = 0.0
for i,key in enumerate(csv_data.keys()):
    if(float(csv_data.values()[i][0]) > max_val):
        max_val = float(csv_data.values()[i][0])
    if(float(csv_data.values()[i][1]) > max_val):
        max_val = float(csv_data.values()[i][1])

plt.ylim((0,num_keys+1))
plt.xlim((0,int(max_val+5)))

idx = 1
for i,key in enumerate(csv_data.keys()):
    ax.barh([idx],float(csv_data.values()[idx-1][1]), height=0.1, facecolor='0.75',edgecolor='k', linewidth=0,align='center')
    cir = pylab.Circle((float(csv_data.values()[idx-1][1]),idx), radius=0.2,  fc='0.75',linewidth=0)
    pylab.gca().add_patch(cir)

    ax.barh([idx],float(csv_data.values()[idx-1][0]), height=0.1, facecolor='k',edgecolor='k', linewidth=0,align='center')
    cir = pylab.Circle((float(csv_data.values()[idx-1][0]),idx), radius=0.2,  fc='k',linewidth=0)
    pylab.gca().add_patch(cir)

    idx += 1   

plt.savefig(base_dir+'out.png')
plt.show()

然而，情节有几个问题：
圆圈看起来更像椭圆形。我该如何纠正？
2. x轴刻度应该向外而不是向内，但代码表现相反 3.其中一些线条比其他线条更粗（例如，＆＃39; A＆＃39;＆＃39; B＆＃39;和＆＃39; F＆＃39;

有谁能建议如何克服这些问题？

谢谢！

Answer 1

将您的第一行更改为这几行，您将全部设置，

我无法重现你的＃3。

您的＃1是一个方面问题。 对于＃2，您需要更改rcParams

num_keys = len(csv_data.keys())
num_vals = len(csv_data.values()[0])
rcParams['xtick.direction'] = 'out'
fig = plt.figure(figsize=(8,6))
ax = fig.add_axes([0.15, 0.15, 0.65, 0.7], aspect='equal')

您定义了数字大小。因此，我们将方面设置为equal。将有一个大面积的白色空间，见图附件。