質問編集履歴
3
ソースの追記を致しました。
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### 該当のソース
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```
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```
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def read_file_to_dataframe(filenames):
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dfs = []
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for filename in filenames:
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original_df = pd.read_csv(filename, index_col=None, header=0)
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dfs.append(original_df)
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return dfs
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def time_series_data_to_array(dataframes, target_col=''):
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tsdata = []
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for i, df in enumerate(dataframes):
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tsdata.append(df[target_col].values.tolist()[:])
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len_max = 0
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for ts in tsdata:
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if len(ts) > len_max:
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len_max = len(ts)
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for i, ts in enumerate(tsdata):
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len_add = len_max - len(ts)
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tsdata[i] = ts + [ts[-1]] * len_add
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tsdata = np.array(tsdata)
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return tsdata
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def transform_vector(time_series_array):
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stack_list = []
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for j in range(len(time_series_array)):
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data = np.array(time_series_array[j])
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data = data.reshape((1, len(data))).T
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stack_list.append(data)
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stack_data = np.stack(stack_list, axis=0)
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return stack_data
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```
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2
ソース部分を```で囲みました。
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```
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```
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df2=read_1file_to_dataframe('sample_data.csv')
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```
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stack_data = transform_vector(time_series_array=tsdata)
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```
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```
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ソース部分を```で囲みました。
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### 前提・実現したいこと
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```### 前提・実現したいこと
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@@ -28,23 +28,23 @@
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### 該当のソース
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-
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```
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df2=read_1file_to_dataframe('sample_data.csv')
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```
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```
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tsdata = time_series_data_to_array(dataframes=df2, target_col='data')
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stack_data = transform_vector(time_series_array=tsdata)
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```
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```
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plt.figure(figsize=(16,9))
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plt.show()
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```
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以上、宜しくお願い致します。
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