質問編集履歴
2
flattenなど1次元変換の際のエラー訂正
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### 2020/03/21追記
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### 2020/03/21追記(8:11訂正）
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ごめんなさい間違えました。1次元には変換はできてもリスト型になってしまって、その後の相関係数を求める際に、リストが入っているのでだめですよと言われてしまうエラーでした。
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```python
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import numpy as np
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d_float_y = np.array([
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[0.],1.,0.
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])
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e_float_y = np.array([
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[1.],1.,0.
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])
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print(d_float_y.flatten()) # 1次元に3つあるものを1次元K個にreshapeできる
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print(e_float_y.flatten())
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arr6 = []
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import numpy as np
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arr6.append(a
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arr6.append(d_float_y)
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arr6.append(a
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arr6.append(e_float_y)
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print(arr6)
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results = np.corrcoef(arr6)
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print("相関係数を出力")
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print(results)
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```
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```
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↓
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↓結果
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```python
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```python
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[list([0.0]) 1.0 0.0]
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[list([1.0]) 1.0 0.0]
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[array([list([0.0]), 1.0, 0.0], dtype=object), array([list([1.0]), 1.0, 0.0], dtype=object)]
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---------------------------------------------------------------------------
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TypeError Traceback (most recent call last)
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<ipython-input-14-97f2f6639cde> in <module>()
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13 arr6.append(e_float_y)
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14 print(arr6)
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---> 15 results = np.corrcoef(arr6)
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16 print("相関係数を出力")
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17 print(results)
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<__array_function__ internals> in corrcoef(*args, **kwargs)
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3 frames
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<__array_function__ internals> in cov(*args, **kwargs)
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<__array_function__ internals> in average(*args, **kwargs)
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/usr/local/lib/python3.6/dist-packages/numpy/
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/usr/local/lib/python3.6/dist-packages/numpy/core/_methods.py in _mean(a, axis, dtype, out, keepdims)
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149 is_float16_result = True
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--> 151 ret = umr_sum(arr, axis, dtype, out, keepdims)
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152 if isinstance(ret, mu.ndarray):
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153 ret = um.true_divide(
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TypeError: can only concatenate list (not "float") to list
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2373 if y is None:
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ValueError: m has more than 2 dimensions
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```
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```
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1
2次元に対するflattenやreshape(-1,)はエラーになる旨追記
test
CHANGED
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File without changes
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test
CHANGED
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@@ -97,3 +97,53 @@
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win10
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python3.7
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### 2020/03/21追記
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```python
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import numpy as np
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arr6 = []
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arr4 = [[1.], [1.], [0.], [1.]]
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arr3 = [[1.], [1.], [0.], [0.]]
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arr6.append(arr4)
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arr6.append(arr3)
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print(arr6)
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results = np.corrcoef(arr6)
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```
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↓
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```python
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<__array_function__ internals> in cov(*args, **kwargs)
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/usr/local/lib/python3.6/dist-packages/numpy/lib/function_base.py in cov(m, y, rowvar, bias, ddof, fweights, aweights)
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2369 m = np.asarray(m)
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2370 if m.ndim > 2:
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-> 2371 raise ValueError("m has more than 2 dimensions")
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2372
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2373 if y is None:
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ValueError: m has more than 2 dimensions
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```
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