在 iPython/pandas 中绘制多条线会产生多个图
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Plotting Multiple Lines in iPython/pandas Produces Multiple Plots
提问by BringMyCakeBack
I am trying to get my head around matplotlib's state machine model, but I am running into an error when trying to plot multiple lines on a single plot. From what I understand, the following code should produce a single plot with two lines:
我试图了解 matplotlib 的状态机模型，但是在尝试在单个图上绘制多条线时遇到错误。据我了解，以下代码应生成一个包含两行的图：
import pandas as pd
import pandas.io.data as web
aapl = web.get_data_yahoo('AAPL', '1/1/2005')
# extract adjusted close
adj_close = aapl.loc[:, ['Adj Close']]
# 2 lines on one plot
hold(False)
adj_close.resample('M', how='min').plot()
adj_close.resample('M', how='max').plot()
In fact, I get three figures: first a blank one, and then two with one line each.
事实上，我得到了三个数字：第一个是空白的，然后是两个，每个数字一行。
Any idea what I am doing wrong or what setting on my system might be misconfigured?
知道我做错了什么或者我的系统上的哪些设置可能配置错误？
回答by cstotzer
You can pre-create an axis object using matplotlibs pyplotpackage and then append the plots to this axis object:
您可以使用 matplotlibspyplot包预先创建一个轴对象，然后将绘图附加到这个轴对象：
import pandas as pd
import pandas.io.data as web
import matplotlib.pyplot as plt
aapl = web.get_data_yahoo('AAPL', '1/1/2005')
# extract adjusted close
adj_close = aapl.loc[:, ['Adj Close']]
# 2 lines on one plot
#hold(False)
fig, ax = plt.subplots(1, 1)
adj_close.resample('M', how='min').plot(ax=ax)
adj_close.resample('M', how='max').plot(ax=ax)
Alternatively, you could concat the two series into a m x 2 DataFrame and plot the dataframe instead:
或者，您可以将两个系列连接到 amx 2 DataFrame 并绘制数据帧：
s1 = adj_close.resample('M', how='min')
s2 = adj_close.resample('M', how='max')
df = pd.concat([s1, s2], axis=1)
df.plot()
