python - Pandas 绘制 4 个数据帧系列中的 2 个子图

Question

我可以在一张图中绘制数据帧每个系列的许多子图，如下所示:

import pandas as pd

NG = [1,2,3,4,5,6,7]
dflist = []

l = [1,2,3,4,5,6]
b = [6,5,4,3,2,1]


for n in NG:
    df = pd.DataFrame(l)
    dflist.append(df)
    df2 = pd.DataFrame(b)
    dflist.append(df2)
    df = pd.concat(dflist, axis = 1)

df.plot(grid = 1, subplots = True, layout = (7,2), sharey = True)

print(df)

如何合并每隔一个图？它应该看起来像这样:

Answer 1

如果我正确理解你之前的问题和这个，你正在寻找这样的东西:

import pandas as pd

l = [1,2,3,4,5,6]
b = [6,5,4,3,2,1]

for n in range(7):
    dflist = []
    df = pd.DataFrame(l)
    dflist.append(df)
    df2 = pd.DataFrame(b)
    dflist.append(df2)
    df = pd.concat(dflist, axis = 1)
    ax = subplot(4, 2, n + 1)
    df.plot(ax=ax);