argument expected, got floatのエラー修正方法

前提・実現したいこと

pythonで株価分析をしていますが、どうしてもデータ型などの問題が出ています。
このエラーはどこを直せばいいでしょうか

発生している問題・エラーメッセージ

/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:19: DataConversionWarning: Data with input dtype int64, float64 were all converted to float64 by the scale function.
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-21-a63fa9883d4a> in <module>
     34     print(accuracy)
     35     predicted_data = lr.predict(predict_data)
---> 36     print(predicted_data)

/anaconda3/lib/python3.7/site-packages/numpy/core/arrayprint.py in array_str(a, max_line_width, precision, suppress_small)
   1502         return _guarded_str(np.ndarray.__getitem__(a, ()))
   1503 
-> 1504     return array2string(a, max_line_width, precision, suppress_small, ' ', "")
   1505 
   1506 def set_string_function(f, repr=True):

/anaconda3/lib/python3.7/site-packages/numpy/core/arrayprint.py in array2string(a, max_line_width, precision, suppress_small, separator, prefix, style, formatter, threshold, edgeitems, sign, floatmode, suffix, **kwarg)
    666         return "[]"
    667 
--> 668     return _array2string(a, options, separator, prefix)
    669 
    670 

/anaconda3/lib/python3.7/site-packages/numpy/core/arrayprint.py in wrapper(self, *args, **kwargs)
    458             repr_running.add(key)
    459             try:
--> 460                 return f(self, *args, **kwargs)
    461             finally:
    462                 repr_running.discard(key)

/anaconda3/lib/python3.7/site-packages/numpy/core/arrayprint.py in _array2string(a, options, separator, prefix)
    484 
    485     # find the right formatting function for the array
--> 486     format_function = _get_format_function(data, **options)
    487 
    488     # skip over "["

/anaconda3/lib/python3.7/site-packages/numpy/core/arrayprint.py in _get_format_function(data, **options)
    417             return formatdict['longfloat']()
    418         else:
--> 419             return formatdict['float']()
    420     elif issubclass(dtypeobj, _nt.complexfloating):
    421         if issubclass(dtypeobj, _nt.clongfloat):

/anaconda3/lib/python3.7/site-packages/numpy/core/arrayprint.py in <lambda>()
    356         'int': lambda: IntegerFormat(data),
    357         'float': lambda:
--> 358             FloatingFormat(data, prec, fmode, supp, sign, legacy=legacy),
    359         'longfloat': lambda:
    360             FloatingFormat(data, prec, fmode, supp, sign, legacy=legacy),

/anaconda3/lib/python3.7/site-packages/numpy/core/arrayprint.py in __init__(self, data, precision, floatmode, suppress_small, sign, **kwarg)
    835         self.large_exponent = False
    836 
--> 837         self.fillFormat(data)
    838 
    839     def fillFormat(self, data):

/anaconda3/lib/python3.7/site-packages/numpy/core/arrayprint.py in fillFormat(self, data)
    892                                        sign=self.sign == '+')
    893                     for x in finite_vals)
--> 894             int_part, frac_part = zip(*(s.split('.') for s in strs))
    895             if self._legacy == '1.13':
    896                 self.pad_left = 1 + max(len(s.lstrip('-+')) for s in int_part)

/anaconda3/lib/python3.7/site-packages/numpy/core/arrayprint.py in <genexpr>(.0)
    892                                        sign=self.sign == '+')
    893                     for x in finite_vals)
--> 894             int_part, frac_part = zip(*(s.split('.') for s in strs))
    895             if self._legacy == '1.13':
    896                 self.pad_left = 1 + max(len(s.lstrip('-+')) for s in int_part)

/anaconda3/lib/python3.7/site-packages/numpy/core/arrayprint.py in <genexpr>(.0)
    891                                        unique=unique, trim=trim,
    892                                        sign=self.sign == '+')
--> 893                     for x in finite_vals)
    894             int_part, frac_part = zip(*(s.split('.') for s in strs))
    895             if self._legacy == '1.13':

integer argument expected, got float

該当のソースコード

grouped_df = df.groupby(((df['Index'] == 0).cumsum()))
for i in range(1,100):
    df_saved = grouped_df.get_group(i).reset_index()
    print(type(df_saved))
    
    #predict:予測ラベル（30日間後の値をラベルに入力）
    df_saved['label'] = df_saved['Close'].shift(-30)
    X = df_saved.drop(["label","Index","Date"],axis=1)
    X = sklearn.preprocessing.scale(X) 
    print(type(X))
    X.shape
    predict_data = X[-30:]
    predict_data.shape # (30, 7)
    X = X[:-30]
    X.shape
    y = np.array(df_saved["label"])
    y.shape
    y = y[ : -30]
    y.shape
    X_train, X_test, y_train, y_test = sklearn.model_selection.train_test_split(X, y, test_size = 0.2)
    lr = sklearn.linear_model.LinearRegression()
    lr.fit(X_train,y_train) 
    accuracy = lr.score(X_test, y_test)
    print(accuracy)
    predicted_data = lr.predict(predict_data)
    print(predicted_data.dtype)