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16 změnil soubory, kde provedl 1327 přidání a 3811 odebrání
Rozdělené zobrazení Ukázat statistiku rozdílových dat
  1. 0 54
      GV12_extracted.csv
  2. 2 2
      cluster_by_distance_csv_only.py
  3. 7 7
      dbscan_clustering.py
  4. 12 414
      drawings/5129275_Rev01-GV12.html
  5. 10 2354
      iso_documents/ISO2768-1.html
  6. 0 92
      merged.csv
  7. 1 1
      old/csv_to_text.py
  8. 0 28
      output.csv
  9. 2 2
      read_html_to_csv.py
  10. 1 1
      read_text_lines_from_dxf.py
  11. 1 1
      regex_extraction.py
  12. 0 27
      regex_test.py
  13. 828 828
      values.csv
  14. 0 0
      values_clustered_GV12_dxf.csv
  15. 61 0
      values_clusteredfromPDF_GV12.csv
  16. 402 0
      values_fromhtml_GV12.csv

+ 0 - 54
GV12_extracted.csv
Zobrazit soubor 

@@ -1,54 +0,0 @@
 
-LAYOUT;420;297

-Concepts, principales and rules according to:;0;2

-Dimensions according to:;0;-1

-Tolerances of form, orientation, location and run-out:;0;-3

-Edge finish according to:;0;-6

-Surface texture according to:;0;-9

-Limits according to:;0;-12

-16% rule:;0;-15

-ISO 8015;0;2

-ISO 14405 1-3;0;-1

-ISO 1101;0;-3

-ISO 13715;0;-6

-ISO 1302;0;-9

-ISO 286-2;0;-12

-not applicable;0;-15

-Rz 16;4;3

-2x;163;195

-%%c;163;199

-19,20;163;203

--;163;210

-0,00;160;211

-0,05;163;211

-%%c;152;197

-15,15;152;200

-+;149;208

-0,05;149;209

-0,00;152;209

-LAYOUT;420;297

-Concepts, principales and rules according to:;0;2

-Dimensions according to:;0;-1

-Tolerances of form, orientation, location and run-out:;0;-3

-Edge finish according to:;0;-6

-Surface texture according to:;0;-9

-Limits according to:;0;-12

-16% rule:;0;-15

-ISO 8015;0;2

-ISO 14405 1-3;0;-1

-ISO 1101;0;-3

-ISO 13715;0;-6

-ISO 1302;0;-9

-ISO 286-2;0;-12

-not applicable;0;-15

-Rz 16;4;3

-2x;163;195

-%%c;163;199

-19,20;163;203

--;163;210

-0,00;160;211

-0,05;163;211

-%%c;152;197

-15,15;152;200

-+;149;208

-0,05;149;209

-0,00;152;209

+ 2 - 2
cluster_by_distance_csv_only.py
Zobrazit soubor 

@@ -10,12 +10,12 @@
 
 
 import csv
 
 
-csvfile1 = open('values.csv', 'r')
 
+csvfile1 = open('values_LH.csv', 'r')
 
 spamreader1 = list(csv.reader(csvfile1, dialect='excel', delimiter=','))
 
 csvfile1.close()
 
 already_merged=False
 
 new_rows_list = []
 
-with open("values.csv", "r") as csvfile:
 
+with open("values_LH.csv", "r") as csvfile:
 
     reader = csv.reader(csvfile, delimiter=',')
 
     for row in reader:
 
         #print(row)

+ 7 - 7
dbscan_clustering.py
Zobrazit soubor 

@@ -8,15 +8,15 @@ from sklearn.preprocessing import StandardScaler
 
 
 def cluster(file_in, file_out):
 
     # #############################################################################
 
-    data_df = pandas.read_csv("values.csv", sep=",")
 
+    data_df = pandas.read_csv("values_fromhtml_GV12.csv", sep=",")
 
     data_df.head(3)
 
-    data = data_df[["X1", "Y1","X2","Y2"]]
 
+    data = data_df[["X1","Y1","X2","Y2"]]
 
     print(data)
 
     data = StandardScaler().fit_transform(data)
 
 
     # #############################################################################
 
     # Compute DBSCAN
 
-    db = DBSCAN(eps=0.1, min_samples=1).fit(data)
 
+    db = DBSCAN(eps=0.2, min_samples=1).fit(data)
 
     core_samples_mask = np.zeros_like(db.labels_, dtype=bool)
 
     core_samples_mask[db.core_sample_indices_] = True
 
     labels = db.labels_
 
@@ -34,7 +34,7 @@ def cluster(file_in, file_out):
 
 
     # #############################################################################
 
     # Plot result
 
-    import matplotlib.pyplot as plt
 
+    """ort matplotlib.pyplot as plt
 
 
     # Black removed and is used for noise instead.
 
     unique_labels = set(labels)
 
@@ -56,11 +56,11 @@ def cluster(file_in, file_out):
 
                  markeredgecolor='k', markersize=6)
 
 
     plt.title('Estimated number of clusters: %d' % n_clusters_)
 
-    plt.show()
 
+    plt.show()"""
 
 
     print(data_df.head(3))
 
-    data_df.to_csv("values_clustered.csv")
 
-    data_df.groupby('cluster')['Text'].apply(' '.join).reset_index().to_csv("text_merged.csv")
 
+    #data_df.to_csv("values_clusteredfromPDF_GV12.csv")
 
+    data_df.groupby('cluster')['Text'].apply(' '.join).reset_index().to_csv("values_clusteredfromPDF_GV12.csv")
 
 
 
 cluster(33,33)

+ 12 - 414
drawings/5129275_Rev01-GV12.html
Zobrazit soubor 

@@ -1,418 +1,16 @@
 
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"><html xmlns="http://www.w3.org/1999/xhtml">
 
+<!DOCTYPE html>
 
+<html>
 
 <head>
 
 <title>5129275.idw</title>
 
-<meta name="Subject" content=""/>
 
-<meta name="Keywords" content=""/>
 
-<meta name="Author" content="u1ac_lka"/>
 
-<meta name="Creator" content="PDFCreator 2.3.0.103"/>
 
-<meta name="Producer" content="PDFCreator 2.3.0.103"/>
 
-<meta name="CreationDate" content=""/>
 
+<meta http-equiv="Content-Type" content="text/html; charset=UTF-8"/>
 
+<meta name="generator" content="pdftohtml 0.36"/>
 
+<meta name="author" content="u1ac_lka"/>
 
+<meta name="keywords" content=""/>
 
+<meta name="date" content="2018-07-17T13:01:42+00:00"/>
 
+<meta name="subject" content=""/>
 
 </head>
 
-<body>
 
-<doc>
 
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-  </page>
 
-</doc>
 
-</body>
 
+<frameset cols="100,*">
 
+<frame name="links" src="5129275_Rev01-GV12_ind.html"/>
 
+<frame name="contents" src="5129275_Rev01-GV12s.html"/>
 
+</frameset>
 
 </html>

Rozdílová data souboru nebyla zobrazena, protože soubor je příliš velký
+ 10 - 2354
iso_documents/ISO2768-1.html


+ 0 - 92
merged.csv
Zobrazit soubor 

@@ -1,92 +0,0 @@
 
-,TEXT,X,Y,Text
 
-0,LAYOUT,420,297,LAYOUT
 
-1,"Concepts, principales and rules according to:",0,2,"Concepts, principales and rules according to:ISO 8015"
 
-2,Dimensions according to:,0,-1,Dimensions according to:ISO 14405 1-3
 
-3,"Tolerances of form, orientation, location and run-out:",0,-3,"Tolerances of form, orientation, location and run-out:ISO 1101"
 
-4,Edge finish according to:,0,-6,Edge finish according to:ISO 13715
 
-5,Surface texture according to:,0,-9,Surface texture according to:ISO 1302
 
-6,Limits according to:,0,-12,Limits according to:ISO 286-2
 
-7,16% rule:,0,-15,16% rule:not applicable
 
-8,ISO 8015,0,2,"Concepts, principales and rules according to:ISO 8015"
 
-9,ISO 14405 1-3,0,-1,Dimensions according to:ISO 14405 1-3
 
-10,ISO 1101,0,-3,"Tolerances of form, orientation, location and run-out:ISO 1101"
 
-11,ISO 13715,0,-6,Edge finish according to:ISO 13715
 
-12,ISO 1302,0,-9,Surface texture according to:ISO 1302
 
-13,ISO 286-2,0,-12,Limits according to:ISO 286-2
 
-14,not applicable,0,-15,16% rule:not applicable
 
-15,Rz 16,4,3,Rz 16
 
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-17,%%c,163,199,%%c
 
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-23,"15,15",152,200,"15,15"
 
-24,+,149,208,+
 
-25,"0,05",149,209,"0,05"
 
-26,"0,00",152,209,"0,00"
 
-27,"1,5",87,182,"1,5"
 
-28,+,92,185,+
 
-29,"0,1",93,185,"0,1"
 
-30,"0,0",93,182,"0,0"
 
-31,"4,8",86,170,"4,8"
 
-32,"?0,05",91,170,"?0,05"
 
-33,2,113,179,2
 
-34,+,116,182,+
 
-35,"0,1",117,182,"0,1"
 
-36,"0,0",117,179,"0,0"
 
-37,"9,3",112,170,"9,3"
 
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-40,"0,0",119,170,"0,0"
 
-41,%%c,140,158,%%c
 
-42,"4,5",140,161,"4,5"
 
-43,+,137,167,+
 
-44,+,140,167,+
 
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-46,"0,028",140,168,"0,028"
 
-47,A,17,31,A
 
-48,A,202,31,A
 
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-50,B,202,75,B
 
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-69,A4,191,24,A4
 
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-71,Scale: 2:1,120,12,Scale: 2:1
 
-72,Drawing nr.:,120,25,Drawing nr.:
 
-73,Designation:,120,46,Designation:
 
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+ 1 - 1
old/csv_to_text.py
Zobrazit soubor 

@@ -1,7 +1,7 @@
 
 import pandas
 
 import csv
 
 import re
 
-#data_df = pandas.read_csv("values.csv", sep=",")
 
+#data_df = pandas.read_csv("values_LH.csv", sep=",")
 
 #print(data_df.head(3))
 
 
 #data = data_df[["X1","Y1","X2","Y2"]]

+ 0 - 28
output.csv
Zobrazit soubor 

@@ -1,28 +0,0 @@
 
-Toleran zklasse,,,Grenzalbmaße für 1Nennmaßbereiche,,

-"von 0,5^)",,über 3,über 6 über 30 über 120 über 400,über 1000,über 2000

-Kurzzeichen Benennung bis 3,öCO,bis 6,bis 30 bis 120 bis 400 bis 1000,bis 2000,bis 4000

-o,,,,,

-CO,,,,,

-"f fein ±0,0+51",,"±0,05","±0,1 ±0,15 ±0,2 ±0,3","±0,5",—

-"m mittel ±0,1",,"±0,1","±0,2 ±0,3 ±0,5 ±0,8","± 1,2",±2

-"c grob ±0,2",,"±0,3","±0,5 ±0,8 ±1,2 ±2",±3,±4

-V sehr grob —,,"±0,5","±1 ±1,5 ±2,5 ±4",±6,±8

-"^) Für Nennmaße unter 0,5 mm sind die Grenzabmaße direkt an dem (den) entsprechenden Nennmaß(en) anzugeben.",,,,,

-Toleran zklasse,Greiizabmaße für Nennmaßbere iche,

-"Kurzzeichen Benennung von 0,5^) bis 3",über 3 bis 6,über 6

-f fein,,

-"±0,2","±0,5",± 1

-m mittel,,

-c grob,,

-"±0,4",± 1,±2

-V sehr grob,,

-"^) Für Nennmaße unter 0,5 mm sind die Grenzabmaße direkt an dem (den) entsprechenden Nennmaß(en) anzugeben.",,

-Toleranzklasse,,"Grenzabmaße fCir Längenbereichie, in mm, für den",

-"",,kürzeren Sch(3nkel des betreffe>nden Winkels,

-Kurzzeichen Benennung,bis 10,über 10 über 50 über 120,über 400

-"",,bis 50 bis 120 bis 400,

-f fein,,,

-"",± 1°,± 0° 30' ±0° 10',±0°5'

-m mittel,,,

-c grob,,± 1° ± 0° 30' ±0° 15',±0° 10'

-V sehr grob,,±2° ±1°,±0° 20'

+ 2 - 2
read_html_to_csv.py
Zobrazit soubor 

@@ -2,8 +2,8 @@ import re
 
 import csv
 
 
 
-with open("drawings/5152166_Rev04.html", "r") as f:
 
-    with open('values.csv', 'w') as writeFile:
 
+with open("drawings/5129275_Rev01-GV12.html", "r") as f:
 
+    with open('values_fromhtml_GV12.csv', 'w') as writeFile:
 
         for line in f.readlines():
 
             #print(line)
 
             row = []

+ 1 - 1
read_text_lines_from_dxf.py
Zobrazit soubor 

@@ -11,7 +11,7 @@ def printsection(buffer, file_out):
 
                 #print('{},{}'.format(obj['10'], obj['20']))
 
                 #print("\n")
 
 
-                row = [values,math.floor(float(obj['10'])),math.floor(float(obj['20']))]
 
+                row = [values, math.floor(float(obj['10'])),math.floor(float(obj['20']))]
 
                 with open(file_out, 'a') as csvFile:
 
                     writer = csv.writer(csvFile, delimiter =';')
 
                     if row[0] != '':

+ 1 - 1
regex_extraction.py
Zobrazit soubor 

@@ -88,7 +88,7 @@ reg_all = re.compile(r"(ISO\s\d\d\d\d?\W?\d?\W?\d?\W?\d?|(EN\s\d*)|^[A-Z]{1}-?[A
 
 extracted_dimensions = []
 
 #text = csv_to_text.read_csv('/home/bscheibel/PycharmProjects/dxf_reader/temporary/text_merged_GV12.csv')
 
 
-file = open('text_merged.csv', 'r')
 
+file = open('values_clusteredfromPDF_GV12.csv', 'r')
 
 #text = file.read()
 
 #file.close()
 
 text_df = pandas.read_csv(file)

+ 0 - 27
regex_test.py
Zobrazit soubor 

@@ -1,27 +0,0 @@
 
-import re
 
-reg_all = re.compile(r"(^[A-Z]{1}-?[A-Z]?\s*$)|([A-Z]\W?[A-Z]?\s?\W\s?\d\d?\s?\s?:\s?\d\d?\s?\W)|((?!\d)(?!Rpk)[a-zA-Z]{3,}?\W)|(?!0)(^\d{1}\s*$|A\d{1}|\d/\d)")
 
-regex = r"(\S+\s{1,3}?\S*\s?\S*\S*\s?\S*\S*\s?\S*\S*\s?\S*\S*\s+)"
 
-file = open('/home/bscheibel/PycharmProjects/dxf_reader/drawings/5129275_Rev01-GV12.txt', 'r')
 
-text = file.read()
 
-file.close()
 
-extraction = []
 
-matches = re.findall(regex, text, re.MULTILINE)
 
-for match in matches:
 
-    #print(match)
 
-    extraction.append(match.strip())
 
-i = 0
 
-new_matches = []
 
-for match in extraction:
 
-    #print(match)
 
-    #print("blub")
 
-    match = match.split('\n')[0]
 
-    #if len(match)>1:
 
-    #    extraction.append(match[1])
 
-        #print(match[1])
 
-    #print([match])
 
-    if not re.search(reg_all, match):
 
-        #print("blub")
 
-        new_matches.append(match)
 
-    i += 1
 
-
 
-print(new_matches)

Rozdílová data souboru nebyla zobrazena, protože soubor je příliš velký
+ 828 - 828
values.csv


values_clustered_GV12.csv → values_clustered_GV12_dxf.csv
Zobrazit soubor


Rozdílová data souboru nebyla zobrazena, protože soubor je příliš velký
+ 61 - 0
values_clusteredfromPDF_GV12.csv


+ 402 - 0
values_fromhtml_GV12.csv
Zobrazit soubor 

@@ -0,0 +1,402 @@
 
+X1,Y1,X2,Y2,Text,Xavg,Yavg, blub
 
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