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```{python}
import numpy as np
import pandas as pd
from pathlib import Path
import matplotlib.pyplot as plt
from scipy import stats
import seaborn as sns
from scipy.stats import bootstrap
#plotting
fig,ax=plt.subplots()
pvalues_mata=np.nan*np.ones((2,2))
print(pvalues_mata)
pvalues_mata[0,0]=5
pvalues_mata[1,0]=6
pvalues_mata[0,1]=7
pvalues_mata[1,1]=8
print(pvalues_mata)
pvalues_matb=np.nan*np.ones((2,2))
print(pvalues_matb)
pvalues_matb[0,0]=5
pvalues_matb[1,0]=6
pvalues_matb[0,1]=7
pvalues_matb[1,1]=8
print(pvalues_matb)
pvalues_mata=np.array2string(pvalues_mata, precision=2, separator=',',suppress_small=True)
pvalues_matb=np.array2string(pvalues_matb, precision=2, separator=',',suppress_small=True)
print('Hmm')
print(pvalues_mata)
print('Bla')
print(pvalues_matb)
print(pvalues_mata+pvalues_matb)
pvalues_mat=np.empty((2,2),dtype='<U100')
for i in range(2):
for j in range(2):
string_mat='asdf' #str(i)
pvalues_mat[i,j] = '['+ str(i)+', ' + str(j)+']'
print('Final')
print(pvalues_mat)
ax.table(cellText=pvalues_mat,
colWidths=[0.1] * 2,
loc='upper right')
plt.show()
```