Hi Expert,
I am trying to get table extract from multiple pdf pages but i am getting only 2 pages and page header currently(Source PDF(test.pdf),output.csv file, codetext.txt are added as attachment
Expectation: it should read the entire data from PDF. Currently it is reading only partial data
Here is my code
I am trying to get table extract from multiple pdf pages but i am getting only 2 pages and page header currently(Source PDF(test.pdf),output.csv file, codetext.txt are added as attachment
Expectation: it should read the entire data from PDF. Currently it is reading only partial data
Here is my code
import tabula
import requests
import csv
import pandas as pd
import re
import parse
import pdfplumber
from collections import namedtuple
import datetime
from datetime import date
import os
import glob
import shutil
from os import path
# using pdminer i am extracting all the post name , grade name and month repporting to add to this cleaned data frame.
# ------------------------------------File name
file = "C:\\Users\\xxx\\Downloads\\test.pdf"
lines = []
pnames = []
gnames = []
mreports = []
with pdfplumber.open(file) as pdf:
for page in pdf.pages:
try:
text = page.extract_text()
except:
text = ''
if text is not None:
liness = text.split('\n')
lines += liness
for li in lines:
if "Port:" in li:
li = li.replace("Port:", "").strip()
li_new = li.split("Month Reporting:")[-0].strip()
m_repor = li.split("Month Reporting:")[-1].strip()
if "Grade Name:" in li_new:
g_name = li_new.split("Grade Name:")[-1].strip()
p_name = li_new.split("Grade Name:")[0].strip()
print(li_new)
else:
g_name = li_new.split()[1:]
g_name = ' '.join(g_name).strip()
p_name = li_new.split()[0].strip()
pnames.append(p_name)
gnames.append(g_name)
mreports.append(m_repor)
print("PortName: ", len(pnames))
print("GradeName: ", len(gnames))
print("MonthReporting: ", len(mreports))
# i am using tabula to extract all the tables from pdf and this table is cleaned for final joining.
df = tabula.read_pdf(file, pages='all')
final_list = [
["PORT NAME", "GRADE NAME", "MONTH REPORTING", "BL DATE", "VESSEL", "DESTINATION", "CHARTERERS", "API"]]
# final_list=[]
print(final_list)
last_df = len(df)
print("Length of tables: ", last_df)
for i in range(0, len(pnames)):
op_df = df[i]
op_df = op_df.dropna(how='all')
op_df_list = op_df.values.tolist()
for li in op_df_list:
if str(li[0]) == "nan":
li = li[1:]
else:
print("check this case")
print(li)
li.insert(0, pnames[i])
li.insert(1, gnames[i])
li.insert(2, mreports[i])
print(li)
if "BL Date" in li:
pass
else:
final_list.append(li)
df_2 = pd.DataFrame(final_list)
df_2.columns = df_2.iloc[0]
df_2 = df_2[1:]
max_row=len(df_2)
curr_date = datetime.datetime.now()
created_date = curr_date.strftime('%d-%b-%y')
for row in range(max_row):
df_2['created_by'] = 'created by'
df_2['created_date'] = created_date
print(df_2)
df_2.rename(
columns={'PORT NAME': 'port_name', 'GRADE NAME': 'crude', 'MONTH REPORTING': 'reporting_month', 'BL DATE': 'bl_date',
'VESSEL': 'vessel', 'DESTINATION': 'destination',
'CHARTERERS': 'charterer', 'API': 'api'}, inplace=True)
df_2 = df_2.reindex(
columns=["port_name", "crude", "reporting_month", "bl_date", "vessel", "destination", "Charterer",
"api"])
# return df_2
df_2.to_csv('Outputfile.csv', index=False)
print("Sucessfully generated output CSV")
Larz60+ write Jul-31-2022, 12:52 PM:
Please post all code, output and errors (it it's entirety) between their respective tags. Refer to BBCode help topic on how to post. Use the "Preview Post" button to make sure the code is presented as you expect before hitting the "Post Reply/Thread" button.
Fixed for you this time. Please use bbcode tags on future posts.
Please post all code, output and errors (it it's entirety) between their respective tags. Refer to BBCode help topic on how to post. Use the "Preview Post" button to make sure the code is presented as you expect before hitting the "Post Reply/Thread" button.
Fixed for you this time. Please use bbcode tags on future posts.
Attached Files
Outputfile.csv (Size: 5.49 KB / Downloads: 369)
codetext (1).txt (Size: 3.25 KB / Downloads: 285)
test.pdf (Size: 146.37 KB / Downloads: 512)
