问题描述
我的任务很简单:我有一个时间序列 ts(2010 年和 2014 年之间的欧元瑞士法郎每日汇率)来绘制.在该图中,我想通过放大某个时间间隔来突出显示它.但是,缩放后的窗口仍然是空的(参见下面的代码).此外,我在选择放大窗口的 x 范围时遇到了问题,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.
my task is simple: I have a time series ts (Euro Swiss Franc daily exchange rates between 2010 and 2014) to plot. In that plot I would like to highlight a certain time interval by zooming into it. However, the zoomed window stays simply empty (see code below). Furthermore, I have a problem by selecting the x-range of the zoomed-in window since I do not know how to properly transform the dates to the internal integer representation of the matplotlib.
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!!!!
推荐答案
我没用过pandas,但是我觉得问题出在你为axins.set_xlim(x1, x2),它们似乎超出了范围.我只是使用了 matplotlib 的绘图功能并更改了范围,并获得了缩放后的图像.
I have never used pandas, but I think that the problem is the range you are choosing for axins.set_xlim(x1, x2), they seem to be outside of the range. I just used the plotting capabilities of matplotlib and changed the range, and I obtained an image with the zoom.
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()