TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported

import numpy as np
 
data = np.genfromtxt('web_traffic.tsv', dtype = str, comments = None)
print(data)
print(data.shape)
x = data[:,0]
y = data[:,1]
print(x)
print(y)
print(len(x))
x = x[~np.isnan(y)]
y = y[~np.isnan(y)]
print(x)
print(y)

x = x[x==x]
y = y[y==y]

import numpy as np
 
data = np.array([[1,2,3,np.nan,5,np.nan], [7,np.nan,9,10,np.nan,12]]).T
x = data[:,0]
y = data[:,1]
print(x, y)
x = x[x==x]
y = y[y==y]
print(x,y)

import numpy as np
 
lst = [
['1', '2272'],
['2', 'nan'],
['3', '1386'],
['4', '1365'],
['5', '1488'],
['6', '1337'],
['7', '1883'],
['8', '2283'],
['9', '1335'],
['10', '1025'],
['11', '1139'],
['12', '1477'],
['13', '1203'],
['14', '1311'],
['15', '1299'],
['16', '1494'],
['17', '1159'],
['18', '1365'],
['19', '1272'],
['20', '1246']
]
data = np.array(lst)
 
##### с преобразованием типа данных
data1 = data.astype(float)
x = data1[~np.isnan(data1[:,0]), 0].astype(int)
print(x)
y = data1[~np.isnan(data1[:,1]), 1].astype(int)
print(y)
 
##### удаление строк с nan
data1 = data1[~np.isnan(data1).any(axis=1)].astype(int)
print(data1)
 
##### или без изменения типа данных
data = data[~np.isin(data, 'nan').any(1)]
print(data)