回答編集履歴
1
プログラム内容
test
CHANGED
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@@ -6,23 +6,45 @@
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import glob
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import datetime
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t=i
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today = datetime.date.today()
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year = today.year
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month = today.month
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input_value= input("{}年{:02}月分の集計を行います。Enterを押してください。 (別の月を集計する場合は6桁で年月を入力し、Enterを押してください) > ".format(year, month))
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if not input_value:
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input_value = "{}{:02}".format(year, month)
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file_list1=glob.glob('//192.168.3.141/pi/mydata'+t+'*')
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file_list1=glob.glob('//192.168.3.141/pi/mydata'+input_value+'*')
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file_list2=glob.glob('//192.168.3.140/pi/mydata'+t+'*')
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file_list2=glob.glob('//192.168.3.140/pi/mydata'+input_value+'*')
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file_list3=glob.glob('//192.168.3.139/pi/mydata'+t+'*')
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file_list3=glob.glob('//192.168.3.139/pi/mydata'+input_value+'*')
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file_list4=glob.glob('//192.168.3.135/pi/mydata'+t+'*')
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file_list4=glob.glob('//192.168.3.135/pi/mydata'+input_value+'*')
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file_list5=glob.glob('//192.168.3.132/pi/mydata'+t+'*')
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file_list5=glob.glob('//192.168.3.132/pi/mydata'+input_value+'*')
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file_list6=glob.glob('//192.168.3.131/pi/mydata'+t+'*')
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file_list6=glob.glob('//192.168.3.131/pi/mydata'+input_value+'*')
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file_list7=glob.glob('//192.168.3.134/pi/mydata'+t+'*')
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file_list7=glob.glob('//192.168.3.134/pi/mydata'+input_value+'*')
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g='三課伸線稼働率(全機械)'
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monthly_file =g+ f'{input_value}.xlsx'
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@@ -32,8 +54,6 @@
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for file1 in file_list1:
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a1=pd.read_csv(file1)
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d1=(file1[25:33])
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@@ -60,30 +80,18 @@
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rcd1['稼働率(%)'].append(w1)
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df1=pd.DataFrame(rcd1)
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print(df1)
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g1='全機稼働率'
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monthly_file =g1+ f'{t}.xlsx'
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rcd2={'日付' : [], '稼働時間(分)': [], '無人稼働時間(分)': [], '停止時間(分)': [],'トータル時間(分)': [],'稼働率(%)': []}
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for file2 in file_list2:
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a2=pd.read_csv(file2)
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d2=(file2[25:33])
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df2=pd.DataFrame(rcd2)
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rcd3={'日付' : [], '稼働時間(分)': [], '無人稼働時間(分)': [], '停止時間(分)': [],'トータル時間(分)': [],'稼働率(%)': []}
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for file3 in file_list3:
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a3=pd.read_csv(file3)
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d3=(file2[25:33])
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x3=a3.iloc[:,0].count()
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y3=a3.iloc[:,1].sum()
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z3=a3.iloc[:,2].sum()
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u3=x3-y3-z3
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w3=round(y2/x2*100,1)
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rcd3['日付'].append(d3)
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rcd3['稼働時間(分)'].append(y3)
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rcd3['無人稼働時間(分)'].append(z3)
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rcd3['停止時間(分)'].append(u3)
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rcd3['トータル時間(分)'].append(x3)
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rcd3['稼働率(%)'].append(w3)
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df3=pd.DataFrame(rcd3)
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rcd4={'日付' : [], '稼働時間(分)': [], '無人稼働時間(分)': [], '停止時間(分)': [],'トータル時間(分)': [],'稼働率(%)': []}
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for file4 in file_list4:
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a4=pd.read_csv(file4)
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d4=(file4[25:33])
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x4=a4.iloc[:,0].count()
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y4=a4.iloc[:,1].sum()
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z4=a4.iloc[:,2].sum()
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u4=x4-y4-z4
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w4=round(y2/x2*100,1)
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rcd4['日付'].append(d4)
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rcd4['稼働時間(分)'].append(y4)
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rcd4['無人稼働時間(分)'].append(z4)
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rcd4['停止時間(分)'].append(u4)
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rcd4['トータル時間(分)'].append(x4)
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rcd4['稼働率(%)'].append(w4)
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df4=pd.DataFrame(rcd4)
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rcd5={'日付' : [], '稼働時間(分)': [], '無人稼働時間(分)': [], '停止時間(分)': [],'トータル時間(分)': [],'稼働率(%)': []}
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for file5 in file_list5:
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a5=pd.read_csv(file5)
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d5=(file5[25:33])
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x5=a5.iloc[:,0].count()
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y5=a5.iloc[:,1].sum()
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z5=a5.iloc[:,2].sum()
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u5=x5-y5-z5
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w5=round(y2/x2*100,1)
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rcd5['日付'].append(d5)
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rcd5['稼働時間(分)'].append(y5)
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rcd5['無人稼働時間(分)'].append(z5)
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rcd5['停止時間(分)'].append(u5)
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rcd5['トータル時間(分)'].append(x5)
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rcd5['稼働率(%)'].append(w5)
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df5=pd.DataFrame(rcd5)
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rcd6={'日付' : [], '稼働時間(分)': [], '無人稼働時間(分)': [], '停止時間(分)': [],'トータル時間(分)': [],'稼働率(%)': []}
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for file6 in file_list6:
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a6=pd.read_csv(file6)
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d6=(file6[25:33])
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x6=a6.iloc[:,0].count()
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y6=a6.iloc[:,1].sum()
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z6=a6.iloc[:,2].sum()
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u6=x6-y6-z6
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w6=round(y2/x2*100,1)
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rcd6['日付'].append(d6)
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rcd6['稼働時間(分)'].append(y6)
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rcd6['無人稼働時間(分)'].append(z6)
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rcd6['停止時間(分)'].append(u6)
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rcd6['トータル時間(分)'].append(x6)
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rcd6['稼働率(%)'].append(w6)
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df6=pd.DataFrame(rcd6)
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rcd7={'日付' : [], '稼働時間(分)': [], '無人稼働時間(分)': [], '停止時間(分)': [],'トータル時間(分)': [],'稼働率(%)': []}
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for file7 in file_list7:
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a7=pd.read_csv(file7)
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d7=(file7[25:33])
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x7=a7.iloc[:,0].count()
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y7=a7.iloc[:,1].sum()
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z7=a7.iloc[:,2].sum()
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u7=x7-y7-z7
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w7=round(y2/x2*100,1)
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rcd7['日付'].append(d7)
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rcd7['稼働時間(分)'].append(y7)
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rcd7['無人稼働時間(分)'].append(z7)
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rcd7['停止時間(分)'].append(u7)
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rcd7['トータル時間(分)'].append(x7)
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rcd7['稼働率(%)'].append(w7)
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df7=pd.DataFrame(rcd7)
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try:
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try:
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df_m = pd.read_excel(monthly_file,dtype={'日付': str})
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df_m1 = pd.read_excel(monthly_file,sheet_name=0,dtype={'日付': str})
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df_output1 = pd.merge(df_m, df1,how='outer')
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df_output1 = pd.merge(df_m1, df1,how='outer')
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df_output2 = pd.merge(df_m, df2,how='outer')
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except FileNotFoundError:
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@@ -132,15 +324,91 @@
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df_output1['コメント'] = None
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try:
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df_m2 = pd.read_excel(monthly_file,sheet_name=1,dtype={'日付': str})
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df_output2 = pd.merge(df_m2, df2,how='outer')
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except FileNotFoundError:
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df_output2 = df2.copy()
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df_output2['コメント'] = None
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try:
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df_m3 = pd.read_excel(monthly_file,sheet_name=2,dtype={'日付': str})
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df_output3 = pd.merge(df_m3, df3,how='outer')
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except FileNotFoundError:
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df_output3 = df3.copy()
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df_output3['コメント'] = None
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|
354
|
+
|
|
355
|
+
|
|
356
|
+
|
|
357
|
+
try:
|
|
358
|
+
|
|
143
|
-
|
|
359
|
+
df_m4 = pd.read_excel(monthly_file,sheet_name=3,dtype={'日付': str})
|
|
360
|
+
|
|
361
|
+
df_output4 = pd.merge(df_m4, df4,how='outer')
|
|
362
|
+
|
|
363
|
+
except FileNotFoundError:
|
|
364
|
+
|
|
365
|
+
df_output4 = df4.copy()
|
|
366
|
+
|
|
367
|
+
df_output4['コメント'] = None
|
|
368
|
+
|
|
369
|
+
|
|
370
|
+
|
|
371
|
+
try:
|
|
372
|
+
|
|
373
|
+
df_m5 = pd.read_excel(monthly_file,sheet_name=4,dtype={'日付': str})
|
|
374
|
+
|
|
375
|
+
df_output5 = pd.merge(df_m5, df5,how='outer')
|
|
376
|
+
|
|
377
|
+
except FileNotFoundError:
|
|
378
|
+
|
|
379
|
+
df_output5 = df5.copy()
|
|
380
|
+
|
|
381
|
+
df_output5['コメント'] = None
|
|
382
|
+
|
|
383
|
+
|
|
384
|
+
|
|
385
|
+
try:
|
|
386
|
+
|
|
387
|
+
df_m6 = pd.read_excel(monthly_file,sheet_name=5,dtype={'日付': str})
|
|
388
|
+
|
|
389
|
+
df_output6 = pd.merge(df_m6, df6,how='outer')
|
|
390
|
+
|
|
391
|
+
except FileNotFoundError:
|
|
392
|
+
|
|
393
|
+
df_output6 = df6.copy()
|
|
394
|
+
|
|
395
|
+
df_output6['コメント'] = None
|
|
396
|
+
|
|
397
|
+
|
|
398
|
+
|
|
399
|
+
try:
|
|
400
|
+
|
|
401
|
+
df_m7 = pd.read_excel(monthly_file,sheet_name=6,dtype={'日付': str})
|
|
402
|
+
|
|
403
|
+
df_output7 = pd.merge(df_m7, df7,how='outer')
|
|
404
|
+
|
|
405
|
+
except FileNotFoundError:
|
|
406
|
+
|
|
407
|
+
df_output7 = df7.copy()
|
|
408
|
+
|
|
409
|
+
df_output7['コメント'] = None
|
|
410
|
+
|
|
411
|
+
|
|
144
412
|
|
|
145
413
|
|
|
146
414
|
|
|
@@ -150,4 +418,14 @@
|
|
|
150
418
|
|
|
151
419
|
df_output2.to_excel(writer,sheet_name='D32',index=False)
|
|
152
420
|
|
|
421
|
+
df_output3.to_excel(writer,sheet_name='D33',index=False)
|
|
422
|
+
|
|
423
|
+
df_output4.to_excel(writer,sheet_name='D34',index=False)
|
|
424
|
+
|
|
425
|
+
df_output5.to_excel(writer,sheet_name='D35',index=False)
|
|
426
|
+
|
|
427
|
+
df_output6.to_excel(writer,sheet_name='D36',index=False)
|
|
428
|
+
|
|
429
|
+
df_output7.to_excel(writer,sheet_name='D37',index=False)
|
|
430
|
+
|
|
153
431
|
```
|