코딩도상국

현재 폴더 경로 

각 폴더에는 아래와 같이 전처리 되지 않은 CSV가 존재한다.

[JS01-210210_222834_p9_고정, JS02-210210_222841_p9고정, JS03-210210_222859_p9_고정]과 같이 데이터 프레임을 병합하고, 분석에 알맞게 전처리를 하는 과정을 보여준다.  

아래는 실험 데이터로 중간에 빈 데이터가 보이고, 전처리 과정이 필요한 원본 데이터이다.  

이제부터 Pandas를 통해 데이터 분석에 알맞게 전처리를 할 것이다.  (위 preprocessing data가 최종 목표 데이터)

* Section 1 *

0. 모든 CSV를 불러온다. 

1. Null/NaN(결손) 데이터를 제거한다. 

   ex) (df : dataframe) df.isna.sum() 를 통해서 결손데이터를 파악할 수 있다. ( df.info()도 확인가능하다. )

2. 필요없는 열(bootms)을 삭제한다. 

3. Column 이름을 변경한다. (" aCnt" ▶"aCnt", " RSSI" ▶ "RSSI") 

   ( " aCnt"와 "aCnt"의 차이는 띄어쓰기이다. df.columns 를 통해 정확한 column name을 작성한다. 띄어쓰기 구별 必)

4. 1001 이상 aCnt 행을 삭제한다. 

5. aCnt를 Group 내어 평균한다. 

6. CSV 데이터로 저장한다. 

import pandas as pd
import os


# 모든 CSV 경로를 변수에 저장한다..
list_folder_name = ['JS01', 'JS02', 'JS03']
list_csv_folder = [os.path.join(os.getcwd(), file_name) for file_name in list_folder_name]
list_p = []
list_path = []

for i in list_csv_folder:
    _, _, file_names = next(os.walk(i))
    for n, j  in enumerate(file_names):
        list_path.append(os.path.join(i,j))
        print(list_path[n])
        
# result 
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_222834_p9_고정.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_224020.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_225507.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_225821.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_230150.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_230314.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_230540.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_230845.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_222834_p9_고정.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_224020.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_225507.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_225821.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_230150.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_230314.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_230540.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_230845.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_222834_p9_고정.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_224020.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_225507.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_225821.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_230150.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_230314.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_230540.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_230845.csv

# 파일 별로 1번 ~ 6번 과정을 반복한다.
# 0. 모든 CSV를 불러온다. 
for i in range(len(list_path)):
    print(list_path[i])
    # 0_1. CSV를 불러온다.
    csv_data = pd.read_csv(list_path[i])
    
    # 1. Null/NaN(결손) 데이터를 제거한다. 
    csv_data.dropna(inplace=True)
    
    # 2. 필요없는 열(bootms)을 삭제한다. 
    csv_data.rename(columns={" aCnt":"aCnt", " RSSI":"RSSI"}, inplace=True)
    
    # 3. Column 이름을 변경한다. (" aCnt" ▶"aCnt", " RSSI" ▶ "RSSI") 
    csv_data.drop(columns=['bootms'], inplace=True)
    
    # 4. 1001 이상 aCnt 행을 삭제한다.
    csv_data.query('aCnt<=1000', inplace=True)

    # 5. aCnt를 Group 내어 평균한다. 
    csv_data_group = csv_data.groupby(['aCnt']).mean().round(1)
    
    # 6. CSV 데이터로 저장한다. 
    csv_data_group.to_csv(list_path[i], mode='w', index=True)

1차적으로 필요없는 열 제거, 결손 데이터 제거 등 필수 작업은 끝이 났다. 

이제 분석을 하기 위해 Dataframe 병합, 분석에 필요한 열 추가를 할 것이다. 

* Section 2 *

import pandas as pd
import numpy as np
import os


list_folder_name = ['JS01', 'JS02', 'JS03']
list_csv_folder = [os.path.join(os.getcwd(), file_name) for file_name in list_folder_name]
list_path = []

for i in list_csv_folder:
    _, _, file_names = next(os.walk(i))
    for j in file_names:
        list_path.append(os.path.join(i,j))
        
# result 
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_222834_p9_고정.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_224020.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_225507.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_225821.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_230150.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_230314.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_230540.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_230845.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_222834_p9_고정.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_224020.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_225507.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_225821.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_230150.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_230314.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_230540.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_230845.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_222834_p9_고정.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_224020.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_225507.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_225821.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_230150.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_230314.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_230540.csv
c:\Users\mangnani\Desktop\Develop\VS Code\Python37\[티스토리]__Pandas전처리\JS01\210210_230845.csv        

np_path = np.array(list_path) # (24)
np_path = np_path.reshape(len(list_folder_name), -1) # (3, 8)
np_path_trans = np_path.T  # Transpose (8, 3)  
print(np_path_trans)

# result 
"""
[['c:\\Users\\mangnani\\Desktop\\Develop\\VS Code\\Python37\\[티스토리]__Pandas전처리\\JS01\\210210_222834_p9_고정.csv'
  'c:\\Users\\mangnani\\Desktop\\Develop\\VS Code\\Python37\\[티스토리]__Pandas전처리\\JS02\\210210_222841_p9고정.csv'
  'c:\\Users\\mangnani\\Desktop\\Develop\\VS Code\\Python37\\[티스토리]__Pandas전처리\\JS03\\210210_222859_p9_고정.csv']
 ['c:\\Users\\mangnani\\Desktop\\Develop\\VS Code\\Python37\\[티스토리]__Pandas전처리\\JS01\\210210_224020.csv'
  'c:\\Users\\mangnani\\Desktop\\Develop\\VS Code\\Python37\\[티스토리]__Pandas전처리\\JS02\\210210_224045.csv'
  'c:\\Users\\mangnani\\Desktop\\Develop\\VS Code\\Python37\\[티스토리]__Pandas전처리\\JS03\\210210_224041.csv']
 ['c:\\Users\\mangnani\\Desktop\\Develop\\VS Code\\Python37\\[티스토리]__Pandas전처리\\JS01\\210210_225507.csv'
  'c:\\Users\\mangnani\\Desktop\\Develop\\VS Code\\Python37\\[티스토리]__Pandas전처리\\JS02\\210210_225511.csv'
  'c:\\Users\\mangnani\\Desktop\\Develop\\VS Code\\Python37\\[티스토리]__Pandas전처리\\JS03\\210210_225519.csv']
 ['c:\\Users\\mangnani\\Desktop\\Develop\\VS Code\\Python37\\[티스토리]__Pandas전처리\\JS01\\210210_225821.csv'
  'c:\\Users\\mangnani\\Desktop\\Develop\\VS Code\\Python37\\[티스토리]__Pandas전처리\\JS02\\210210_225828.csv'
  'c:\\Users\\mangnani\\Desktop\\Develop\\VS Code\\Python37\\[티스토리]__Pandas전처리\\JS03\\210210_225837.csv']
 ['c:\\Users\\mangnani\\Desktop\\Develop\\VS Code\\Python37\\[티스토리]__Pandas전처리\\JS01\\210210_230150.csv'
  'c:\\Users\\mangnani\\Desktop\\Develop\\VS Code\\Python37\\[티스토리]__Pandas전처리\\JS02\\210210_230159.csv'
  'c:\\Users\\mangnani\\Desktop\\Develop\\VS Code\\Python37\\[티스토리]__Pandas전처리\\JS03\\210210_230155.csv']
 ['c:\\Users\\mangnani\\Desktop\\Develop\\VS Code\\Python37\\[티스토리]__Pandas전처리\\JS01\\210210_230314.csv'
  'c:\\Users\\mangnani\\Desktop\\Develop\\VS Code\\Python37\\[티스토리]__Pandas전처리\\JS02\\210210_230325.csv'
  'c:\\Users\\mangnani\\Desktop\\Develop\\VS Code\\Python37\\[티스토리]__Pandas전처리\\JS03\\210210_230329.csv']
 ['c:\\Users\\mangnani\\Desktop\\Develop\\VS Code\\Python37\\[티스토리]__Pandas전처리\\JS01\\210210_230540.csv'
  'c:\\Users\\mangnani\\Desktop\\Develop\\VS Code\\Python37\\[티스토리]__Pandas전처리\\JS02\\210210_230607.csv'
  'c:\\Users\\mangnani\\Desktop\\Develop\\VS Code\\Python37\\[티스토리]__Pandas전처리\\JS03\\210210_230601.csv']
 ['c:\\Users\\mangnani\\Desktop\\Develop\\VS Code\\Python37\\[티스토리]__Pandas전처리\\JS01\\210210_230845.csv'
  'c:\\Users\\mangnani\\Desktop\\Develop\\VS Code\\Python37\\[티스토리]__Pandas전처리\\JS02\\210210_230850.csv'
  'c:\\Users\\mangnani\\Desktop\\Develop\\VS Code\\Python37\\[티스토리]__Pandas전처리\\JS03\\210210_230903.csv']]
  """

df_1 = pd.read_csv(np_path_trans[file_index][0])
df_2 = pd.read_csv(np_path_trans[file_index][1])
df_3 = pd.read_csv(np_path_trans[file_index][2])

print(df_1, df_2, df_3, sep="\n")

# result
       aCnt  RSSI
0       0.0 -73.2
1       1.0 -71.5
2       2.0 -72.5
3       3.0 -72.0
4       4.0 -73.0
..      ...   ...
988   996.0 -73.3
989   997.0 -73.3
990   998.0 -74.0
991   999.0 -72.7
992  1000.0 -73.0

[993 rows x 2 columns]
       aCnt  RSSI
0       0.0 -85.0
1       1.0 -84.0
2       2.0 -85.0
3       4.0 -81.0
4       5.0 -82.0
..      ...   ...
741   996.0 -84.0
742   997.0 -83.0
743   998.0 -81.5
744   999.0 -80.0
745  1000.0 -81.5

[746 rows x 2 columns]
      aCnt  RSSI
0      0.0 -80.5
1      1.0 -82.0
2      2.0 -81.0
3      3.0 -85.0
4      4.0 -81.0
..     ...   ...
759  982.0 -83.0
760  984.0 -83.0
761  990.0 -87.0
762  992.0 -86.0
763  999.0 -85.0

[764 rows x 2 columns]

데이터 프레임을 자세히 보면 세 개의 df 행의 갯수가 다름을 알 수 있다. ( 이는 데이터 특성상 aCnt가 없는 것을 의미한다.) 

각각 데이터 프레임 aCnt의 교집합을 찾아 병합할 것이다. 

df_tmp = pd.merge(df_1, df_2, on='aCnt', how='inner')
df_rssi = pd.merge(df_tmp, df_3, on='aCnt', how='inner')

df_rssi

# result
aCnt	RSSI_x	RSSI_y	RSSI
0	0.0	-73.2	-85.0	-80.5
1	1.0	-71.5	-84.0	-82.0
2	2.0	-72.5	-85.0	-81.0
3	4.0	-73.0	-81.0	-81.0
4	5.0	-73.0	-82.0	-83.5
...	...	...	...	...
586	982.0	-73.3	-83.3	-83.0
587	984.0	-73.3	-81.0	-83.0
588	990.0	-73.0	-83.0	-87.0
589	992.0	-73.7	-82.5	-86.0
590	999.0	-72.7	-80.0	-85.0
591 rows × 4 columns

Colum name을 알맞게 변경한다. 

df_rssi.rename(columns={"RSSI_x":"RSSI_1", "RSSI_y":"RSSI_2", "RSSI":"RSSI_3"}, inplace=True)

df_rssi

# result

aCnt	RSSI_1	RSSI_2	RSSI_3
0	0.0	-73.2	-85.0	-80.5
1	1.0	-71.5	-84.0	-82.0
2	2.0	-72.5	-85.0	-81.0
3	4.0	-73.0	-81.0	-81.0
4	5.0	-73.0	-82.0	-83.5
...	...	...	...	...
586	982.0	-73.3	-83.3	-83.0
587	984.0	-73.3	-81.0	-83.0
588	990.0	-73.0	-83.0	-87.0
589	992.0	-73.7	-82.5	-86.0
590	999.0	-72.7	-80.0	-85.0
591 rows × 4 columns

RSSI를 통한 Distance를 추가할 것이다. ( lambda 함수 사용 )

def lambda_distance(rssi, tp=-64):
    ratio = rssi*1.0/tp
    if ratio < 1.0:
        return pow(ratio, 10)
    else:
        distance = (0.89976)*pow(ratio,7.7095) + 0.111
        return distance

df_rssi['distance_1'] = df_rssi['RSSI_1'].apply(lambda rssi:lambda_distance(rssi))
df_rssi['distance_2'] = df_rssi['RSSI_2'].apply(lambda rssi:lambda_distance(rssi))
df_rssi['distance_3'] = df_rssi['RSSI_3'].apply(lambda rssi:lambda_distance(rssi))

df_rssi

# result
	aCnt	RSSI_1	RSSI_2	RSSI_3	distance_1	distance_2	distance_3
0	0.0	-73.2	-85.0	-80.5	2.645139	8.132164	5.384701
1	1.0	-71.5	-84.0	-82.0	2.225242	7.432724	6.191371
2	2.0	-72.5	-85.0	-81.0	2.464196	8.132164	5.642557
3	4.0	-73.0	-81.0	-81.0	2.592246	5.642557	5.642557
4	5.0	-73.0	-82.0	-83.5	2.592246	6.191371	7.103364
...	...	...	...	...	...	...	...
586	982.0	-73.3	-83.3	-83.0	2.671951	6.975277	6.786975
587	984.0	-73.3	-81.0	-83.0	2.671951	5.642557	6.786975
588	990.0	-73.0	-83.0	-87.0	2.592246	6.786975	9.707345
589	992.0	-73.7	-82.5	-86.0	2.781686	6.483119	8.889049
590	999.0	-72.7	-80.0	-85.0	2.514708	5.137370	8.132164
591 rows × 7 columns

df_rssi.to_csv(csv_name, mode='w', index=False)

import sys
import os

from PyPDF2.pdf import *
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
from PyQt5.QtGui import *


class MainWidget(QWidget):
    def __init__(self):
        super().__init__()
        manual_label = [QLabel("<b>PDF Application"), QLabel("Created by JS")]

        for i in range(0, 2):
            manual_label[i].setStyleSheet("Color : gray")
            manual_label[i].setFont(QFont("", 40 - (12 * i)))

        hbox = [QHBoxLayout(), QHBoxLayout()]
        for i in range(0, 2):
            hbox[i].addStretch(1)
            hbox[i].addWidget(manual_label[i])
            hbox[i].addStretch(1)

        vbox = QVBoxLayout()
        vbox.addStretch(1)
        vbox.addLayout(hbox[0])
        vbox.addLayout(hbox[1])
        vbox.addStretch(1)

        self.setLayout(vbox)


class ListboxWidget(QListWidget):
    def __init__(self, parent=None):
        super().__init__(parent)
        self.setAcceptDrops(True)

    def dragEnterEvent(self, event):
        if event.mimeData().hasUrls:
            event.accept()
        else:
            event.ignore()

    def dragMoveEvent(self, event):
        if event.mimeData().hasUrls():
            event.setDropAction(Qt.CopyAction)
            event.accept()
        else:
            event.ignore()

    def dropEvent(self, event):
        if event.mimeData().hasUrls():
            event.setDropAction(Qt.CopyAction)
            event.accept()

            links = []

            for i in event.mimeData().urls():
                if str(i).find(".pdf") > 0:
                    if i.isLocalFile():
                        links.append(str(i.toLocalFile()))
                    else:
                        links.append(str(i.toString()))
            self.addItems(links)
        else:
            event.ignore()


class PDFMerge(QWidget):
    def __init__(self):
        super().__init__()
        self.pushButton = QPushButton(self)
        self.pushButton.setGeometry(QRect(20, 440, 451, 31))
        self.pushButton.setText("합치기")

        self.groupBox = QGroupBox(self)
        self.groupBox.setGeometry(QRect(20, 20, 451, 410))
        self.groupBox.setFlat(False)
        self.groupBox.setCheckable(False)
        self.groupBox.setTitle("<PDF 리스트>")

        self.listWidget = ListboxWidget(self.groupBox)
        self.listWidget.setGeometry(QRect(20, 30, 411, 250))

        self.pushButton_4 = QPushButton(self.groupBox)
        self.pushButton_4.setGeometry(QRect(20, 310, 93, 28))
        self.pushButton_4.setText("위 이동")

        self.pushButton_5 = QPushButton(self.groupBox)
        self.pushButton_5.setGeometry(QRect(20, 350, 93, 28))
        self.pushButton_5.setText("아래 이동")

        self.pushButton_6 = QPushButton(self.groupBox)
        self.pushButton_6.setGeometry(QRect(180, 310, 93, 71))
        self.pushButton_6.setText("추 가")

        self.pushButton_7 = QPushButton(self.groupBox)
        self.pushButton_7.setGeometry(QRect(340, 310, 93, 71))
        self.pushButton_7.setText("제 거")

        self.pushButton_6.clicked.connect(self.add_PDF)
        self.pushButton_7.clicked.connect(self.del_PDF)
        self.pushButton_4.clicked.connect(self.up_PDF)
        self.pushButton_5.clicked.connect(self.down_PDF)
        self.pushButton.clicked.connect(self.merge_PDF)

    def add_PDF(self):
        fname = QFileDialog.getOpenFileName(self, "open file", "", "PDF File(*.pdf)")
        self.listWidget.addItem(QListWidgetItem(fname[0]))

    def set_PDF(self):
        dirname = QFileDialog.getExistingDirectory(None)
        self.listWidget_2.clear()
        self.listWidget_2.addItem(QListWidgetItem(dirname))

    def del_PDF(self):
        self.listWidget.takeItem(self.listWidget.currentRow())

    def up_PDF(self):
        row = self.listWidget.currentRow()
        if row > 0:
            item = self.listWidget.takeItem(row)
            self.listWidget.insertItem(row - 1, item)
            self.listWidget.setCurrentRow(row - 1)

    def down_PDF(self):
        row = self.listWidget.currentRow()
        if row < self.listWidget.count() - 1:
            item = self.listWidget.takeItem(row)
            self.listWidget.insertItem(row + 1, item)
            self.listWidget.setCurrentRow(row + 1)

    def merge_PDF(self):
        count = self.listWidget.count()

        if count == 0:
            QMessageBox.information(self, '경고', "저장할 파일이 없습니다.", QMessageBox.Yes)

        else:
            down_path, _ = QFileDialog.getSaveFileName(self, "Open", "", "PDF(*.pdf)")

            if down_path:
                output = PdfFileWriter()
                for x in range(0, count):
                    src = self.listWidget.item(x)

                    inputs = PdfFileReader(open(src.text(), "rb"))
                    for j in range(inputs.getNumPages()):
                        output.addPage(inputs.getPage(j))
                dest = down_path

                with open(dest, "wb") as outstream:
                    output.write(outstream)


class MainWindow(QMainWindow):
    def __init__(self):
        super().__init__()

        # menu bar widget 모음
        menu = self.menuBar()
        menu_pdf = menu.addMenu('    PDF   ')

        self.pdf_merge = QAction('PDF 합치기', self)
        menu_pdf.addAction(self.pdf_merge)  # menu bar 에 lpf 를 붙임
        self.pdf_merge.triggered.connect(lambda x: self.applyfunc('merge'))  # 로우패스필터를 누르면 applyDock 연결

        self.widget = MainWidget()
        self.setCentralWidget(self.widget)

        self.setEnabled(True)
        self.resize(500, 500)
        self.setWindowTitle("PDF Application")  # Program Title
        self.setFixedSize(500, 550)

        self.show()

    def applyfunc(self, function):
        if function == "merge":
            merge_widget = PDFMerge()
            self.setCentralWidget(merge_widget)


if __name__ == '__main__':
    app = QApplication(sys.argv)
    window = MainWindow()
    sys.exit(app.exec_())

안녕하세요.

https://coding-yoon.tistory.com/68

PDF 관련 프로그램을 만드는 동기는 위에 적었었고, 오늘은 제가 가장 많이 사용하는 PDF합치기를 사용하기 편하게 QT로 구현하였습니다. 

http://hogulab.egloos.com/6340633

굳이 제가 처음부터 만들지 않았고, 위 블로그의 코드에 맞춰 제작하였습니다. 

제가 추가하고, 없앤 기능은 

1. 파일을 Drag & Drop을 하여 list에 추가하게끔 바꿨습니다. 

저는 마우스로 클릭하는 것보다 파일을 마우스로 드래그해서 갖다놓는 방식이 더 편하다고 생각했습니다. 

2. 저장 폴더 설정 버튼 삭제

굳이 다운로드 경로를 설정하는 방식은 너무 귀찮아서 없애버렸습니다. 합치기 버튼을 누르면 다운로드 다이얼 로그가 생성되는 방식으로 바꿨습니다. 

1. 다이얼로그 방식

2. 파일 드래그 앤 드롭 방식

만약 저장할 PDF가 없다면.