class_docstr: Features and array helper tests
class_docstr_tok: ["Features","and","array","helper","tests"]
docstr: Ensure ndarray with str features does not have int columns
docstr_tok: ["Ensure","ndarray","with","str","features","does","not","have","int","columns"]
code: def test_has_ndarray_int_columns_false_not_numeric(self):
      """
      Ensure ndarray with str features does not have int columns
      """
      x = np.random.rand(3, 5)
      features = ["a", "1"]
      assert not has_ndarray_int_columns(features, x)
  
imports: import pytest
  import numpy
  import numpy.testing
  from sklearn.svm import SVR, SVC
  from sklearn.pipeline import Pipeline
  from sklearn.decomposition import PCA
  from sklearn.naive_bayes import GaussianNB
  from sklearn.tree import DecisionTreeClassifier
  from sklearn.neighbors import KNeighborsClassifier
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.cluster import Birch, AgglomerativeClustering
  from sklearn.decomposition import LatentDirichletAllocation
  from sklearn.cluster import KMeans, AffinityPropagation, MiniBatchKMeans
  from sklearn.datasets import make_classification, make_regression, make_blobs
  from sklearn.linear_model import Ridge, RidgeCV, Lasso, LassoCV, LinearRegression
  from yellowbrick.utils.helpers import *
label_desc: Use image node_id 3 for calling the TestNarrayIntColumns obj's underlying member method code with example usage: obj.test_has_ndarray_int_columns_false_not_numeric() without return types