Matplotlib / Pandas：缩放时间序列图的一部分

Question

我的任务很简单：我有一个时间序列ts（2010年至2014年的瑞士法郎每日汇率）。在该图中，我想通过放大来突出显示某个时间间隔。但是，缩放窗口保持为空（请参阅下面的代码）。此外，我通过选择放大窗口的x范围有问题，因为我不知道如何正确地将日期转换为matplotlib的内部整数表示。

提前感谢您的帮助！

这是我的代码：

import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes 
from mpl_toolkits.axes_grid1.inset_locator import mark_inset

# Load the time series
ts = pd.read_csv('./Data/EUR_CHF_Exchange_Rates/EUR_CHF_daily.csv',sep=';', parse_dates=['time'], index_col = 'time',decimal=',')
ts = ts['EUR/CHF']
ts = ts.sort_index(ascending=True)

# Plot
fig = plt.figure(figsize=(14,5))
ax = plt.axes()
ts.plot() # ts is my time series

# Label the axis
ax.set_xlabel('')
ax.set_ylabel('EUR/CHF')

#I want to select the x-range for the zoomed region. I have figured it out suitable values
# by trial and error. How can I pass more elegantly the dates as something like
# x1 = '2012-05-09'
# x2 = '2012-09-02'
x1 = 15439.0
x2 = 15588.0

# select y-range for zoomed region
y1 = 1.15
y2 = 1.25

# Make the zoom-in plot:
axins = zoomed_inset_axes(ax, 2, loc=1) # zoom = 2
axins.plot(ts)
axins.set_xlim(x1, x2)
axins.set_ylim(y1, y2)
plt.xticks(visible=False)
plt.yticks(visible=False)
mark_inset(ax, axins, loc1=2, loc2=4, fc="none", ec="0.5")
plt.draw()
plt.savefig('daily_exchange_rates.pdf') # The zoomed window is empty!!!! 

Answer 1

我从未使用pandas，但我认为问题是您为axins.set_xlim(x1, x2)选择的范围，它们似乎超出了范围。我刚刚使用了matplotlib的绘图功能并改变了范围，我用缩放获得了一个图像。

import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes 
from mpl_toolkits.axes_grid1.inset_locator import mark_inset

# Load the time series
ts = pd.read_csv('EUR_CHF_daily.csv',sep=';', parse_dates=['time'], index_col = 'time',decimal=',')
ts = ts['EUR/CHF']
ts = ts.sort_index(ascending=True)

# Plot
fig = plt.figure(figsize=(14,5))
ax = plt.axes()
ax.plot(ts)

# Label the axis
ax.set_xlabel('')
ax.set_ylabel('EUR/CHF')

#I want to select the x-range for the zoomed region. I have figured it out suitable values
# by trial and error. How can I pass more elegantly the dates as something like
x1 = 1543.90
x2 = 1658.80

# select y-range for zoomed region
y1 = 1.15
y2 = 1.25

# Make the zoom-in plot:
axins = zoomed_inset_axes(ax, 2, loc=1) # zoom = 2
axins.plot(ts)
axins.set_xlim(x1, x2)
axins.set_ylim(y1, y2)
plt.xticks(visible=False)
plt.yticks(visible=False)
mark_inset(ax, axins, loc1=2, loc2=4, fc="none", ec="0.5")
plt.draw()
plt.show()