我试图做一个放大的插图一样的形象：

代码的第一部分是工作的，即它正在绘制文件。只有当我试图绘制缩放部分时，它才会给出以下错误，我试图弄清楚它，但没有一个帖子真正有帮助。

AttributeError                            Traceback (most recent call last)
<ipython-input-41-46879fbc5ce6> in <module>()
     44     plt.close()
     45 
---> 46 fit_data()

<ipython-input-41-46879fbc5ce6> in fit_data()
     16     #axins.xaxis.set_major_locator(MaxNLocator(nbins=1, prune='lower'))
     17 
---> 18     plt1 = zoomed_inset_axes(plt, 2.5,  loc=4 )
     19     plt1.plot(data1['pm'], data1['Dis(pc)'])#,marker='o', color='red', edgecolor='red', s=100)
     20     plt1.axis([5.062645643, 6.482765605, 487.026819, 569.4313421])

~/anaconda3/lib/python3.6/site-packages/mpl_toolkits/axes_grid1/inset_locator.py in zoomed_inset_axes(parent_axes, zoom, loc, bbox_to_anchor, bbox_transform, axes_class, axes_kwargs, borderpad)
    529 
    530     if axes_kwargs is None:
--> 531         inset_axes = axes_class(parent_axes.figure, parent_axes.get_position())
    532     else:
    533         inset_axes = axes_class(parent_axes.figure, parent_axes.get_position(),

AttributeError: module 'matplotlib.pyplot' has no attribute 'get_position'

这是我一直在使用的代码。

import numpy as np
import matplotlib as mpl
import pandas as pd
from scipy.optimize import curve_fit
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
from matplotlib.colors import ListedColormap, LinearSegmentedColormap
from matplotlib.ticker import MaxNLocator
from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes, mark_inset

file1 = 'inset_trial.dat'

data1 = pd.read_csv(file1, delimiter='\s+', header=None, engine='python')
data1.columns = ['x1',  'y1',   'xin',  'yin']

def fit_data():

    fig = plt.figure(1,figsize=(12,12))

    plt.subplot(111)
    mpl.rcParams['figure.dpi']=200
    plt.scatter(data1['x1'], data1['y1'],  marker='o', color='red', edgecolor='red', s=100)

    plt1 = zoomed_inset_axes(plt, 2.5,  loc=4 )
    plt1.plot(data1['xin'], data1['yin'])#,marker='o', color='blue', edgecolor='blue', s=100)
    plt1.axis([5.062645643, 6.482765605, 487.026819, 569.4313421])
    plt1.set_yticks([])
    plt1.set_xticks([])
    plt1.set_axis_bgcolor('none')
    axes = mark_inset(axins, axins_2, loc1=2, loc2=4, fc="none", ec="0.5")

    plt.minorticks_on()

plt.tick_params(axis='both',which='minor',length=5,width=2,labelsize=28)
    plt.tick_params(axis='both',which='major',length=8,width=2,labelsize=28)
    plt.tick_params(direction='out', length=8, width=3)
    plt.tick_params(labelsize=28) 

    plt.show()
    plt.close()

fit_data()

我试图拟合的样本数据是

797.3266855 9.518953577 487.026819  6.41595323
457.3328822 9.408619701 493.8012816 6.352140859
321.4279994 10.99152002 505.8109589 6.482765605
643.1595144 11.33567151 515.0500793 5.689992589
897.9396964 7.098272377 523.5118663 5.062645643
658.5927932 8.401072532 526.8570713 5.951114622
885.8478465 9.59502937  537.6740407 6.123622699
569.4313421 5.913067314 563.2567733 6.089519297
419.540411  31.7279367  569.4313421 5.913067314
386.0084504 13.82448229     
487.026819  6.41595323      
790.5056852 14.17210085     
736.5781168 4.142827023     
927.9643155 13.42713535     
106.249016  49.12866299     
678.4950877 3.174864242     
108.0434865 60.24915209     
809.8782024 8.371119015     
692.3002948 7.215181213     
915.4764187 15.4360679      
874.5699615 8.706973258     
962.0774108 3.223371528     
401.4037586 31.03032051     
671.4700933 11.1975808      
834.7473745 15.30785654