如何将较小的值保留在前面的条形图中(当无法将条形并排放置时)? [英] How do I keep the smaller value in a bar chart in front (when I cannot place the bars side by side)?
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问题描述
我正在使用python和matplotlib / pyplot。
现在我正在添加两个条形图,如下所示:
p1 = plot.bar(x1,y1,color ='r',alpha = 1,edgecolor ='none',linewidth = 0,width = 0.5,log = False)
p2 = plot.bar(x2,y2,color ='b',alpha = 1,edgecolor ='none',线宽= 0,width = 0.5,log = False)
谢谢!
解决方案
您可以使用 numpy.ma
模块来定义掩码:
导入numpy.ma作为ma
mask1 = ma.where(y1> = y2)
mask2 = ma.where(y2> = y1)
p1 = plt.bar(x1 [mask1],y1 [mask1],color ='r',alpha = 1,edgecolor ='none',linewidth = 0,width = 0.5,log = False)
p2 = plt.bar(x2,y2,color ='b',alpha = 1,edgecolor ='none',线宽= 0,width = 0.5,log = False)
p3 = plt.bar(x1 [mask2 ],y1 [mask2],color ='r',alpha = 1 ,edgecolor ='none',linewidth = 0,width = 0.5,log = False)
示例:
import matplotlib.pyplot as plt
import numpy as np
import numpy.ma as ma
x1 = x2 = np.arange(5)
y1 = np.array([1,4,25,2,4])
y2 = np.array([4 ,2,3,32,6])
mask1 = ma.where(y1> = y2)
mask2 = ma.where(y2> = y1)
p1 = plt.bar(x1 [mask1],y1 [mask1],color ='r',alpha = 1,edgecolor ='none',linewidth = 0,width = 0.5,log = False)
p2 = plt.bar(x2,y2,color ='b',alpha = 1,edgecolor ='none',linewidth = 0,width = 0.5,log = False)
p3 = plt.bar(x1 [ mask2],y1 [mask2],color ='r',alpha = 1,edgecolor ='none',linewidth = 0,width = 0.5,log = False)
I am plotting two sets of data on a chart that has the amino acid position along the x-axis. Sometimes assay 1 as a smaller value and sometimes assay 2 has the smaller value. How do I ensure that the lower value is always in front?
I am using python and matplotlib / pyplot.
Right now I am adding two bar charts as:
p1 = plot.bar(x1, y1, color='r', alpha=1, edgecolor='none',linewidth=0,width=0.5, log=False)
p2 = plot.bar(x2, y2, color='b', alpha=1, edgecolor='none', linewidth=0,width=0.5, log=False)
Thanks!
解决方案
You can use the numpy.ma
module to define masks:
import numpy.ma as ma
mask1 = ma.where(y1>=y2)
mask2 = ma.where(y2>=y1)
p1 = plt.bar(x1[mask1], y1[mask1], color='r', alpha=1, edgecolor='none',linewidth=0,width=0.5, log=False)
p2 = plt.bar(x2, y2, color='b', alpha=1, edgecolor='none', linewidth=0,width=0.5, log=False)
p3 = plt.bar(x1[mask2], y1[mask2], color='r', alpha=1, edgecolor='none',linewidth=0,width=0.5, log=False)
Example:
import matplotlib.pyplot as plt
import numpy as np
import numpy.ma as ma
x1 = x2 = np.arange(5)
y1 = np.array([1,4,25,2,4])
y2 = np.array([4,2,3,32,6])
mask1 = ma.where(y1>=y2)
mask2 = ma.where(y2>=y1)
p1 = plt.bar(x1[mask1], y1[mask1], color='r', alpha=1, edgecolor='none',linewidth=0,width=0.5, log=False)
p2 = plt.bar(x2, y2, color='b', alpha=1, edgecolor='none', linewidth=0,width=0.5, log=False)
p3 = plt.bar(x1[mask2], y1[mask2], color='r', alpha=1, edgecolor='none',linewidth=0,width=0.5, log=False)
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