尝试拟合模型时收到此错误信息：无法用于种子生成numpy.random.RandomState实例' % seed

Question

下面是代码：

import numpy as np
import matplotlib.pyplot as plt
from sklearn.ensemble import IsolationForest
import pandas as pd

np.random.RandomState(1234)
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelEncoder
df = pd.read_csv('E://Market_dat.csv',names=['EVENT_DT', 'MARKET_NAME', 'Duration', 'TOTAL_COUNTS'],skiprows=1,index_col=0)
for column in df.columns:
    if df[column].dtype == type(object):
        le = LabelEncoder()
        df[column] = le.fit_transform(df[column])
        np.random.get_state()
       X_train, X_test = train_test_split(df, test_size=0.3)
print(X_test)
print(X_train)
X_outliers = rng.uniform(low=-4, high=4, size=(20, 2))
clf = IsolationForest(behaviour='new', max_samples=100,
                      random_state=df, contamination='auto')
clf.fit(X_train)

有人能告诉我为什么会收到这个错误信息吗