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'' 'X' 'BIDY' 'StateF_NewSN_Type' 'StateF_SN' 'State' 'State_FIPS' 'FHWARegionCode' 'StateName' 'year' 'BridgeID' 'StructureNumber' 'InventoryRoute' 'RecordType' 'RouteSigningPrefix' 'RoutePrefixName' 'InterstateHwy' 'USNumberedHwy' 'StateHwy' 'CountyHwy' 'CityStreet' 'FederalLandsRoad' 'StateLandsRoad' 'OtherRoad' 'DesignatedLevelService' 'DesignatedLevelServiceName' 'Mainline' 'Alternate' 'Bypass' 'Spur' 'Business' 'RampWyeConnector' 'ServiceorUnclassified' 'NoneServiceLevel' 'RouteNumber' 'DirectionalSuffix' 'DirectionName' 'NotApplicable' 'North' 'East' 'South' 'West' 'HighwayAgencyDistrict' 'CountyParishCode' 'PlaceCode' 'FeaturesIntersectTotal' 'FeaturesIntersect' 'CriticalFacilityIndicator' 'FacilityCarriedbyStructure' 'Location' 'InventoryRteMinVertClear' 'InventoryRteMinVertClear_decimal' 'InventoryRteMinVertClear_Feet' 'InventRteMinVertClear_NoRestrict' 'KilometerPoint' 'KilometerPoint_decimal' 'BaseHighwayNetwork' 'OnBaseHighwayNetwork' 'Inv
import csv
filename = 'E:/Desai_Jaison_ResearchFiles/From Server/NBI/Panel2.csv'
header = []
val = {}
with open(filename, 'r') as f:
reader = csv.reader(f)
import sys, csv, os
import json
original = './data'
new = './data/new'
old = './updated'
def stripp(x):
import os, csv, json
location = './data'
jsonFile = './helpers/change.json'
counter = 0
#allRows = {}
data = {}
This file has been truncated, but you can view the full file.
{
"4012-9": "5938",
"100000030217010-24": "100000030217013",
"100000030363010-24": "100000030217014",
"100000030271012-24": "100000030271013",
"100000030271011-24": "100000030271014",
"100000120062011-24": "100000120062010",
"19307H00020B010-26": "1895",
"1900P01-34": "3461001",
"M085770-34": "M08577N",
Processing csv file: 1992.csv
Processed file 1992.csv with 666207 lines
Processing csv file: 1998.csv
Processed file 1998.csv with 683861 lines
Processing csv file: 1999.csv
Processed file 1999.csv with 688416 lines
Processing csv file: 2000.csv
Processed file 2000.csv with 691060 lines
Processing csv file: 2001.csv
Processed file 2001.csv with 694941 lines
Enter year1992,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012
------------------------Year 1992------------------------
Processed file ./updated/1992.csv with 666207 lines
Processed file ./data/new/1992new.csv with 666207 lines
Total ids in new 666206
Total ids in old 666206
Same or not? [False, False]
Ids in new that are not in old 33519
Processed file ./data/1992.csv with 666207 lines
import sys, csv, json
#arguments = sys.argv
#if (not len(arguments) > 1):
# print("No file specified")
# quit()
#filename = arguments[1]
# import the useful libraries.
import numpy
import pandas
import seaborn
import matplotlib.pyplot
%matplotlib inline
# Load the data set
@sobernaut
sobernaut / README.md
Created August 19, 2022 06:11 — forked from lopspower/README.md
Hexadecimal color code for transparency

Hexadecimal color code for transparency

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How to set transparency with hex value ?

For example, you want to set 40% alpha transparence to #000000 (black color), you need to add 66 like this #66000000.

Download This sample on Google Play Store