Проблема с масштабированием гистограммы: "только целые числа, кусочки (`: `), многоточие (` ... `), numpy .newaxis (` None`) ... ""

Question

Я пытаюсь масштабировать свою гистограмму с коэффициентом 0,1781628163, но постоянно получаю следующую ошибку: "IndexError: только целые числа, срезы (:), многоточие (...), numpy .newaxis (None) и целые или логические массивы являются допустимыми индексами "

Вот мой код:

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

Konference = pd.read_csv(r'Daiichianden.csv')
Konference.hist(column='1.915844504072473',bins=400,range=[0,8])

xlo=0 
xhi=8 
nbins=180 
data,bins = np.histogram(Konference['1.915844504072473'],bins=np.linspace(xlo,xhi,nbins))
KonferenceD = 0.1781628163*data
plt.title("Konference skaleret ift Daiichi")
plt.plot(bins,KonferenceD)




### Full error message
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-5-0ce3aceeb8cd> in <module>
      6 KonferenceD = 0.1781628163*Konference
      7 plt.title("Konference skaleret ift Daiichi")
----> 8 plt.plot(bins,KonferenceD)

/opt/anaconda3/lib/python3.7/site-packages/matplotlib/pyplot.py in plot(scalex, scaley, data, *args, **kwargs)
   2793     return gca().plot(
   2794         *args, scalex=scalex, scaley=scaley, **({"data": data} if data
-> 2795         is not None else {}), **kwargs)
   2796 
   2797 

/opt/anaconda3/lib/python3.7/site-packages/matplotlib/axes/_axes.py in plot(self, scalex, scaley, data, *args, **kwargs)
   1664         """
   1665         kwargs = cbook.normalize_kwargs(kwargs, mlines.Line2D._alias_map)
-> 1666         lines = [*self._get_lines(*args, data=data, **kwargs)]
   1667         for line in lines:
   1668             self.add_line(line)

/opt/anaconda3/lib/python3.7/site-packages/matplotlib/axes/_base.py in __call__(self, *args, **kwargs)
    223                 this += args[0],
    224                 args = args[1:]
--> 225             yield from self._plot_args(this, kwargs)
    226 
    227     def get_next_color(self):

/opt/anaconda3/lib/python3.7/site-packages/matplotlib/axes/_base.py in _plot_args(self, tup, kwargs)
    389             x, y = index_of(tup[-1])
    390 
--> 391         x, y = self._xy_from_xy(x, y)
    392 
    393         if self.command == 'plot':

/opt/anaconda3/lib/python3.7/site-packages/matplotlib/axes/_base.py in _xy_from_xy(self, x, y)
    268         if x.shape[0] != y.shape[0]:
    269             raise ValueError("x and y must have same first dimension, but "
--> 270                              "have shapes {} and {}".format(x.shape, y.shape))
    271         if x.ndim > 2 or y.ndim > 2:
    272             raise ValueError("x and y can be no greater than 2-D, but have "

ValueError: x and y must have same first dimension, but have shapes (180,) and (179,)


----------


----------


### Converting the column into an array:

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

Konference = pd.read_csv(r'Daiichianden.csv')
a = np.loadtxt('Daiichianden.csv')
Konference.hist(column='1.915844504072473',bins=400,range=[0,8])

xlo=0 
xhi=8 
nbins=180 
Konference,bins = np.histogram(a['1.915844504072473'],bins=np.linspace(xlo,xhi,nbins))
KonferenceD = 0.1781628163*Konference
plt.title("Konference skaleret ift Daiichi")
plt.plot(bins,KonferenceD)



### Full error message
---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
<ipython-input-18-37dcc7e9580c> in <module>
      2 xhi=8
      3 nbins=180
----> 4 Konference,bins = np.histogram(a['1.915844504072473'],bins=np.linspace(xlo,xhi,nbins))
      5 KonferenceD = 0.1781628163*Konference
      6 plt.title("Konference skaleret ift Daiichi")

IndexError: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices