为什么我将"python int太大而无法转换为C long"?使用matplotlib的DateFormatter在x轴上格式化日期时出现错误? [英] Why do I get "python int too large to convert to C long" errors when I use matplotlib's DateFormatter to format dates on the x axis?

查看：95 发布时间：2020/5/24 0:43:36 python python-3.x matplotlib pandas

本文介绍了为什么我将"python int太大而无法转换为C long"?使用matplotlib的DateFormatter在x轴上格式化日期时出现错误?的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！

问题描述

在此答案使用DateFormatter 之后，我试图绘制时间序列，并使用熊猫将其x轴标记为年份. 0.15.0和matplotlib 1.4.2:

Following this answer's use of DateFormatter, I tried to plot a time series and label its x axis with years using pandas 0.15.0 and matplotlib 1.4.2:

import datetime as dt
import matplotlib as mpl
import matplotlib.pyplot as plt
import pandas.io.data as pdio
import scipy as sp

t1 = dt.datetime(1960, 1, 1)
t2 = dt.datetime(2014, 6, 1)
data = pdio.DataReader("GS10", "fred", t1, t2).resample("Q", how=sp.mean)

fig, ax1 = plt.subplots()
ax1.plot(data.index, data.GS10)
ax1.set_xlabel("Year")
ax1.set_ylabel("Rate (%)")
ax1.xaxis.set_major_formatter(mpl.dates.DateFormatter("%Y"))
fig.suptitle("10-yr Treasury Rate", fontsize=14)

fig.savefig('test.eps')

最后一行抛出此错误:OverflowError: Python int too large to convert to C long，且具有以下追溯:

The final line throws an error: OverflowError: Python int too large to convert to C long with this traceback:

C:\ Anaconda3 \ lib \ site-packages \ IPython \ core \ formatters.py:239: FormatterWarning:image/png格式化程序中的异常:Python int也是如此较大，可以转换为C长的FormatterWarning，追溯(最近通话最后):

C:\Anaconda3\lib\site-packages\IPython\core\formatters.py:239: FormatterWarning: Exception in image/png formatter: Python int too large to convert to C long FormatterWarning, Traceback (most recent call last):

文件"，第1行，在 runfile('D:/username/latex_template/new_pandas_example.py'，wdir ='D:/username/latex_template')

File "", line 1, in runfile('D:/username/latex_template/new_pandas_example.py', wdir='D:/username/latex_template')

文件 "C:\ Anaconda3 \ lib \ site-packages \ spyderlib \ widgets \ externalshell \ sitecustomize.py"，行文件中的第580行 execfile(文件名，命名空间)

File "C:\Anaconda3\lib\site-packages\spyderlib\widgets\externalshell\sitecustomize.py", line 580, in runfile execfile(filename, namespace)

文件 "C:\ Anaconda3 \ lib \ site-packages \ spyderlib \ widgets \ externalshell \ sitecustomize.py"，第48行，在execfile中 exec(compile(open(文件名，'rb').read()，文件名，'exec')，命名空间)

File "C:\Anaconda3\lib\site-packages\spyderlib\widgets\externalshell\sitecustomize.py", line 48, in execfile exec(compile(open(filename, 'rb').read(), filename, 'exec'), namespace)

文件"D:/用户名/latex_template/new_pandas_example.py"，第18行，在 fig.savefig('test.eps')

File "D:/username/latex_template/new_pandas_example.py", line 18, in fig.savefig('test.eps')

文件"C:\ Anaconda3 \ lib \ site-packages \ matplotlib \ figure.py"，行 1470，在savefig中 self.canvas.print_figure(* args，** kwargs)

File "C:\Anaconda3\lib\site-packages\matplotlib\figure.py", line 1470, in savefig self.canvas.print_figure(*args, **kwargs)

文件"C:\ Anaconda3 \ lib \ site-packages \ matplotlib \ backend_bases.py"，第2194行，在print_figure中 ** kwargs)

File "C:\Anaconda3\lib\site-packages\matplotlib\backend_bases.py", line 2194, in print_figure **kwargs)

文件 "C:\ Anaconda3 \ lib \ site-packages \ matplotlib \ backends \ backend_ps.py"，第992行，在print_eps中返回self._print_ps(outfile，'eps'，* args，** kwargs)

File "C:\Anaconda3\lib\site-packages\matplotlib\backends\backend_ps.py", line 992, in print_eps return self._print_ps(outfile, 'eps', *args, **kwargs)

文件 "C:\ Anaconda3 \ lib \ site-packages \ matplotlib \ backends \ backend_ps.py"，第1020行，在_print_ps中 ** kwargs)

File "C:\Anaconda3\lib\site-packages\matplotlib\backends\backend_ps.py", line 1020, in _print_ps **kwargs)

文件 "C:\ Anaconda3 \ lib \ site-packages \ matplotlib \ backends \ backend_ps.py"， _print_figure中的第1110行 self.figure.draw(renderer)

File "C:\Anaconda3\lib\site-packages\matplotlib\backends\backend_ps.py", line 1110, in _print_figure self.figure.draw(renderer)

文件"C:\ Anaconda3 \ lib \ site-packages \ matplotlib \ artist.py"，第59行，在draw_wrapper中绘制(艺术家，渲染器，* args，** kwargs)

File "C:\Anaconda3\lib\site-packages\matplotlib\artist.py", line 59, in draw_wrapper draw(artist, renderer, *args, **kwargs)

文件"C:\ Anaconda3 \ lib \ site-packages \ matplotlib \ figure.py"，行 1079，开奖 func(* args)

File "C:\Anaconda3\lib\site-packages\matplotlib\figure.py", line 1079, in draw func(*args)

文件"C:\ Anaconda3 \ lib \ site-packages \ matplotlib \ artist.py"，第59行，在draw_wrapper中绘制(艺术家，渲染器，* args，** kwargs)

File "C:\Anaconda3\lib\site-packages\matplotlib\artist.py", line 59, in draw_wrapper draw(artist, renderer, *args, **kwargs)

文件"C:\ Anaconda3 \ lib \ site-packages \ matplotlib \ axes_base.py"，行 2092年开奖 a.draw(renderer)

File "C:\Anaconda3\lib\site-packages\matplotlib\axes_base.py", line 2092, in draw a.draw(renderer)

文件"C:\ Anaconda3 \ lib \ site-packages \ matplotlib \ artist.py"，第59行，在draw_wrapper中绘制(艺术家，渲染器，* args，** kwargs)

File "C:\Anaconda3\lib\site-packages\matplotlib\artist.py", line 59, in draw_wrapper draw(artist, renderer, *args, **kwargs)

文件"C:\ Anaconda3 \ lib \ site-packages \ matplotlib \ axis.py"，行1114，平局 ticks_to_draw = self._update_ticks(渲染器)

File "C:\Anaconda3\lib\site-packages\matplotlib\axis.py", line 1114, in draw ticks_to_draw = self._update_ticks(renderer)

文件"C:\ Anaconda3 \ lib \ site-packages \ matplotlib \ axis.py"，行957，在_update_ticks中 tick_tups = [t for self.iter_ticks()中的t]

File "C:\Anaconda3\lib\site-packages\matplotlib\axis.py", line 957, in _update_ticks tick_tups = [t for t in self.iter_ticks()]

文件"C:\ Anaconda3 \ lib \ site-packages \ matplotlib \ axis.py"，行957，在 tick_tups = [t for self.iter_ticks()中的t]

File "C:\Anaconda3\lib\site-packages\matplotlib\axis.py", line 957, in tick_tups = [t for t in self.iter_ticks()]

文件"C:\ Anaconda3 \ lib \ site-packages \ matplotlib \ axis.py"，第905行，在iter_ticks 对于我来说，枚举中的val(majorLocs)]

File "C:\Anaconda3\lib\site-packages\matplotlib\axis.py", line 905, in iter_ticks for i, val in enumerate(majorLocs)]

文件"C:\ Anaconda3 \ lib \ site-packages \ matplotlib \ axis.py"，第905行，在对于我来说，枚举中的val(majorLocs)]

File "C:\Anaconda3\lib\site-packages\matplotlib\axis.py", line 905, in for i, val in enumerate(majorLocs)]

文件"C:\ Anaconda3 \ lib \ site-packages \ matplotlib \ dates.py"，第411行，在致电中 dt = num2date(x，self.tz)

File "C:\Anaconda3\lib\site-packages\matplotlib\dates.py", line 411, in call dt = num2date(x, self.tz)

文件"C:\ Anaconda3 \ lib \ site-packages \ matplotlib \ dates.py"，第345行，在num2date 返回_from_ordinalf(x，tz)

File "C:\Anaconda3\lib\site-packages\matplotlib\dates.py", line 345, in num2date return _from_ordinalf(x, tz)

文件"C:\ Anaconda3 \ lib \ site-packages \ matplotlib \ dates.py"，第225行，在_from_ordinalf中 dt = datetime.datetime.fromordinal(ix)

File "C:\Anaconda3\lib\site-packages\matplotlib\dates.py", line 225, in _from_ordinalf dt = datetime.datetime.fromordinal(ix)

OverflowError:Python int太大，无法转换为C long

OverflowError: Python int too large to convert to C long

我在这里错误地使用了DateFormatter吗?如何轻松地将年(或任何时间格式，因为我的时间序列可能不同)放在matplotlib图形的a轴上?

Am I using DateFormatter incorrectly here? How can I easily put years (or any time format, since my time series might differ) on the a-axis of a matplotlib figure?

为什么我将"python int太大而无法转换为C long"?使用matplotlib的DateFormatter在x轴上格式化日期时出现错误? [英] Why do I get "python int too large to convert to C long" errors when I use matplotlib's DateFormatter to format dates on the x axis?

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为什么我将"python int太大而无法转换为C long"?使用matplotlib的DateFormatter在x轴上格式化日期时出现错误? [英] Why do I get &quot;python int too large to convert to C long&quot; errors when I use matplotlib&#39;s DateFormatter to format dates on the x axis?

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为什么我将"python int太大而无法转换为C long"?使用matplotlib的DateFormatter在x轴上格式化日期时出现错误? [英] Why do I get "python int too large to convert to C long" errors when I use matplotlib's DateFormatter to format dates on the x axis?

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