Python 如何将较小的值保留在前面的条形图中(当无法并排放置条形图时)?

Python 如何将较小的值保留在前面的条形图中(当无法并排放置条形图时)?,python,charts,matplotlib,Python,Charts,Matplotlib,我在一张图表上绘制了两组数据,图表上的氨基酸位置沿x轴。有时分析1的值较小,有时分析2的值较小。如何确保较低的值始终在前面 我正在使用python和matplotlib/pyplot 现在,我添加了两个条形图,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, edge

我在一张图表上绘制了两组数据,图表上的氨基酸位置沿x轴。有时分析1的值较小,有时分析2的值较小。如何确保较低的值始终在前面

我正在使用python和matplotlib/pyplot

现在,我添加了两个条形图,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', linewidth=0,width=0.5, log=False)
谢谢

您可以使用模块定义遮罩:

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)
例如:

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)

您可以使用模块定义遮罩:

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)
例如:

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)