回答編集履歴
2
コメントアウトしてたミス
test
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@@ -34,8 +34,6 @@
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"""
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listT = []
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listV = []
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listV = filename['value']
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type = input('please input type.\n1:curve\r2:average')
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プログラムミス
test
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@@ -4,7 +4,87 @@
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```python
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from scipy.optimize import curve_fit
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import seaborn as sns
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import sys
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import codecs as cd # 追加
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import pandas as pd
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import numpy as np
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import matplotlib.pyplot as plt
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sys.setrecursionlimit(100000)
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filepath = input('please input file path.')
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filename = pd.read_csv(filepath, encoding="
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#filename = pd.read_csv(filepath, encoding="SHIFT-JIS", "ignore") # コメントアウト
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with cd.open(filepath, "r", "shift-jis", "ignore") as csv_file: # 追加
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filename = pd.read_table(csv_file)
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"""
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listT = []
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listV = []
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listT = filename['time']
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listV = filename['value']
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"""
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type = input('please input type.\n1:curve\r2:average')
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if type == '1':
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res = np.polyfit(listT,listV,10)
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y2 = np.poly1d(res)(listT)
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plt.figure(figsize=(20,10))
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plt.plot(listT,listV,label='ori')
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plt.plot(listT,y2,label='curve_fit')
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else:
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num = 10000
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b = np.ones(num)/num
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y2 = np.convolve(listV, b, mode='same')
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plt.figure(figsize=(20,10))
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plt.plot(listT,listV, label='ori')
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plt.plot(listT,y2, label='ave')
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plt.legend()
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plt.show()
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input()
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```
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