ValueError:传递的项目数量错误500,放置意味着1,Python和Pandas

Dav*_*idV 6 python matplotlib python-2.7 pandas

我只从.xlsx文件导入两列,我想计算一些东西(平均值,偏差,百分比变化),然后我想绘制所有这些.第一部分没有给我任何问题,但绘图确实如此.

我的代码看起来像这样:

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import matplotlib.mlab as mlab
import math

df = pd.read_excel('KDPrviIzbor.xlsx', sheetname='List1', index_col = 0)
ch = df.pct_change(periods=252)

ma = np.mean(ch)*100
std = np.std(ch)*100

x = np.linspace(-100,100,500)
plt.plot(x,mlab.normpdf(x,ma,std))

plt.show()
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但是当我运行我的代码时,我收到此错误:

Traceback (most recent call last):
File "C:/Users/David/PythonStuff/normal_distribution.py", line 21, in <module> plt.plot(x,mlab.normpdf(x,ma,std))
File "C:\Python27\lib\site-packages\matplotlib\mlab.py", line 1579, in normpdf return 1./(np.sqrt(2*np.pi)*sigma)*np.exp(-0.5 * (1./sigma*(x - mu))**2)
File "C:\Python27\lib\site-packages\pandas\core\ops.py", line 534, in wrapper dtype=dtype)
File "C:\Python27\lib\site-packages\pandas\core\series.py", line 220, in __init__ data = SingleBlockManager(data, index, fastpath=True)
File "C:\Python27\lib\site-packages\pandas\core\internals.py", line 3383, in __init__ ndim=1, fastpath=True)
File "C:\Python27\lib\site-packages\pandas\core\internals.py", line 2101, in make_block placement=placement)
File "C:\Python27\lib\site-packages\pandas\core\internals.py", line 77, in __init__ len(self.values), len(self.mgr_locs)))
ValueError: Wrong number of items passed 500, placement implies 1`
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我认为问题在于:

plt.plot(x,mlab.normpdf(x,ma,std))

但我无法解决它.有什么建议?

Fab*_*ost 5

ma并且stdpandas.Series您示例中的对象.原因是,np.mean适用于pandas.DataFrame返回a pandas.Series.但是,mlab.normpdf(x,ma,std)需要浮点值或numpy数组作为输入.你可以简单地转换mastd浮动ma = float(ma).我建议int(ma)你不要像你在评论中指出的那样使用,因为这会减少小数.