Matplotlib中的浮動條摳圖條形圖

Question

我正在處理一個真正大範圍的圖形，並且我發現這些條形浮起軸線。我怎樣才能阻止呢？這是我在教程中編寫的一個例子，因爲我的數據是從大量文件中讀取的。這說明了我遇到的問題。我給了stds和意味着一個很大的範圍，就像我的數據。

import numpy as np 
import matplotlib.pyplot as plt 

N = 5 
menMeans = (20, 35, 30, 35, 27,43,444,44) 
menStd = (2, 3, 4, 1, 2,43,4,33) 

ind = np.arange(8) # the x locations for the groups 
width = 0.35  # the width of the bars 

fig = plt.figure() 
ax = fig.add_subplot(111) 
rects1 = ax.bar(ind, menMeans, width, color='r', yerr=menStd) 

womenMeans = (25, 32, 34, 25,322,3,443,3) 
womenStd = (3, 5, 2, 3, 3,32,33,322) 
rects2 = ax.bar(ind+width, womenMeans, width, color='y', yerr=womenStd) 

# add some 
ax.set_ylabel('Scores') 
ax.set_title('Scores by group and gender') 
ax.set_xticks(ind+width) 
ax.set_xticklabels(('G1', 'G2', 'G3', 'G4', 'G5','K','K','Z')) 

ax.legend((rects1[0], rects2[0]), ('Men', 'Women')) 

def autolabel(rects): 
    # attach some text labels 
    for rect in rects: 
     height = rect.get_height() 
     ax.text(rect.get_x()+rect.get_width()/2., 1.05*height, '%d'%int(height), 
       ha='center', va='bottom') 

autolabel(rects1) 
autolabel(rects2) 

plt.show() 

Answer 1

只需添加限制y軸：

import numpy as np 
import matplotlib.pyplot as plt 

N = 5 
menMeans = (20, 35, 30, 35, 27,43,444,44) 
menStd = (2, 3, 4, 1, 2,43,4,33) 

ind = np.arange(8) # the x locations for the groups 
width = 0.35  # the width of the bars 

fig = plt.figure() 
ax = fig.add_subplot(111) 
rects1 = ax.bar(ind, menMeans, width, color='r', yerr=menStd) 

womenMeans = (25, 32, 34, 25,322,3,443,3) 
womenStd = (3, 5, 2, 3, 3,32,33,322) 
rects2 = ax.bar(ind+width, womenMeans, width, color='y', yerr=womenStd) 

# add some 
ax.set_ylabel('Scores') 
ax.set_title('Scores by group and gender') 
ax.set_xticks(ind+width) 
ax.set_xticklabels(('G1', 'G2', 'G3', 'G4', 'G5','K','K','Z')) 

ax.legend((rects1[0], rects2[0]), ('Men', 'Women')) 
ax.set_ylim(0) 

def autolabel(rects): 
    # attach some text labels 
    for rect in rects: 
     height = rect.get_height() 
     ax.text(rect.get_x()+rect.get_width()/2., 1.05*height, '%d'%int(height), 
       ha='center', va='bottom') 

autolabel(rects1) 
autolabel(rects2) 

plt.show() 

線ax.set_ylim(0)的伎倆。