Matplotlib条形图:将两个不同的y轴对齐为零 [英] Matplotlib bar charts: Aligning two different y axes to zero

问题描述

我在条形图中有两组数据，它们的轴非常不同:一组数据非常负(-7500)，而另一组数据正有些(+5).

如何将两个y轴对齐为0，但尺寸仍然合适?使用 set_ylim 意味着您看不到第二个数据集.

我正在使用的当前代码:

  A165H = [-4915，-7037]B167H = [-6927，-4105]B186H = [-5597，0]CH = [0，0]ConH = [0，0]#dS值列表A165S = [6.28，-4.91]B167S = [-3.25，6.7]B186S = [3.93，0]CS = [0，0]ConS = [0，0]N1H = [A165H [0]，B167H [0]，B186H [0]，CH [0]，ConH [0]]N1S = [A165S [0]，B167S [0]，B186S [0]，CS [0]，ConS [0]]打印(N1H)打印(N1S)N2H = [A165H [1]，B167H [1]，B186H [1]，CH [1]，ConH [1]]N2S = [A165S [1]，B167S [1]，B186S [1]，CS [1]，ConS [1]]宽度= 0.35无花果，ax1 = plt.subplots()ind = np.arange(len(N1H))rects1 = ax1.bar(ind，N1H，width，color ='b')ax1.set_xticks(ind + width)ax1.set_xticklabels(('A165'，'B167'，'B186'，'C'，'Con'))ax1.set_ylabel('dH'，color ='b')对于ax1.get_yticklabels()中的tl:tl.set_color('b')ax2 = ax1.twinx()rects2 = ax2.bar(ind + width，N1S，width，color ='r')ax2.set_ylabel('dS'，color ='r')对于ax2.get_yticklabels()中的tl:tl.set_color('r')plt.show() 

这是我的标准图片

使用

解决方案

如果我继续阅读

I have two sets of data in a barchart which have very different axes: one is very negative (-7500) and one is slightly positive (+5).

How can I have the two y axes aligned at 0, yet still be a good size? Using set_ylim means you can't see the second data set.

Current code I'm using:

A165H = [-4915, -7037]
B167H = [-6927, -4105]
B186H = [-5597, 0]
CH =[0, 0] 
ConH = [0, 0]

# Lists of dS values

A165S = [6.28,-4.91]
B167S = [-3.25, 6.7]
B186S = [3.93, 0]
CS = [0, 0]
ConS = [0, 0]

N1H = [A165H[0], B167H[0], B186H[0], CH[0], ConH[0]]
N1S = [A165S[0], B167S[0], B186S[0], CS[0], ConS[0]]
print(N1H)
print(N1S)

N2H = [A165H[1], B167H[1], B186H[1], CH[1], ConH[1]]
N2S = [A165S[1], B167S[1], B186S[1], CS[1], ConS[1]]


width = 0.35
fig, ax1 = plt.subplots()
ind = np.arange(len(N1H))
rects1 = ax1.bar(ind, N1H, width, color = 'b')
ax1.set_xticks(ind+width)
ax1.set_xticklabels(('A165', 'B167', 'B186', 'C', 'Con'))
ax1.set_ylabel('dH', color='b')
for tl in ax1.get_yticklabels():
    tl.set_color('b')


ax2 = ax1.twinx()
rects2 = ax2.bar(ind + width, N1S, width, color = 'r')
ax2.set_ylabel('dS', color='r')
for tl in ax2.get_yticklabels():
   tl.set_color('r')

plt.show()

Here is my standard image

EDIT:

using the align_yaxis() from this question only shows me the negative values of the second data set:

解决方案

If I had carried on reading the the other post I would have found the adjust_yaxis which solved my problem

The code given on that answer:

def align_yaxis(ax1, v1, ax2, v2):
"""adjust ax2 ylimit so that v2 in ax2 is aligned to v1 in ax1"""
_, y1 = ax1.transData.transform((0, v1))
_, y2 = ax2.transData.transform((0, v2))
adjust_yaxis(ax2,(y1-y2)/2,v2)
adjust_yaxis(ax1,(y2-y1)/2,v1)

def adjust_yaxis(ax,ydif,v):
    """shift axis ax by ydiff, maintaining point v at the same location"""
    inv = ax.transData.inverted()
    _, dy = inv.transform((0, 0)) - inv.transform((0, ydif))
    miny, maxy = ax.get_ylim()
    miny, maxy = miny - v, maxy - v
    if -miny>maxy or (-miny==maxy and dy > 0):
        nminy = miny
        nmaxy = miny*(maxy+dy)/(miny+dy)
    else:
        nmaxy = maxy
        nminy = maxy*(miny+dy)/(maxy+dy)
    ax.set_ylim(nminy+v, nmaxy+v)

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