BHH | Browser History Histogram -- module for the Autopsy | Cybersecurity library
kandi X-RAY | BHH Summary
kandi X-RAY | BHH Summary
Browser History Histogram -- module for the Autopsy Forensic Browser
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Top functions reviewed by kandi - BETA
- Initialize the components
- User pressed the import query button
- Called when the user clicks on the website
- Entry point for exporting website
- Generate the report
- Retrieves a list of Websites from the database
- Generates a PDF for the plot
- Write the report
- ProcessIngest module
- Finishes theIngest module
- The main entry point
- Initialize database
- Gets the full path to the browser installation in the current directory
- Return the full path to the browser installation in the current machine
- Transform all tables
- Converts the given object to a byte array
- Deletes all extracted tables
- Delete all Chrome Maps
- Initialize the modules
- Delete clean tables
- Fill the queries table
- Retrieves a map of operating system names to their names
- Fill the website
- Customize the label components
- Runs the module
- Convert a byte array to an object
BHH Key Features
BHH Examples and Code Snippets
Community Discussions
Trending Discussions on BHH
QUESTION
I am simply trying to merge/join to dataframes based on their latitudes. Whenever I run the below code it will only return a dataframe in which some of the latitudes have matched up. I have tried converting the "Lat" column from number to character and that did not have any effect. I have also tried using the join function in plyr without any luck. I am not sure where to go from here. Thank you.
...ANSWER
Answered 2020-May-02 at 15:40If you merge by latitude and longitude after rounding the numbers to 5 digits, you'll obtain a complete set of matches for df1
.
QUESTION
I am trying to run through an old coworkers script and I am hoping someone can help inform me of what exactly he did during this code segment. Earlier in the script we calculated the intake rate for several prey species and now it appears that we are grouping them based on unique locations. The section of code after this requires that there be 41 rows ( 1 row for each unique location in the complete dataset). I believe that the code subsets the data based on latitude and then adds an 'alpha' column. The main issue that I am having is what is this line calculating: x= x + d$Intakerate_kjday[j]*d$alpha[j]
. For locations that had several prey items (profit.fall.38.4.959) is this code summing up "intakerate_kjday" and "alpha" and then multiplying them together? When the code is performed I receive the error Error in
ANSWER
Answered 2020-Apr-23 at 15:37The code in question apparently computes (very inefficiently and inaccurately)
QUESTION
This is for anyone if they are looking for a solution of such kind of a problem. I will try to explain the problem here and put the answer after that.
Question
I have two csv
files (file1.csv
and file2.csv
): in which cookieid
column is common in both. When I load it in dataframe it looks like this for ex:
ANSWER
Answered 2018-Mar-23 at 09:10import pandas as pd
import numpy as np
import string
DATA_FILE1 = 'file1.csv'
## encodings vary from file to file
df1 = pd.read_csv(DATA_FILE1,sep=',',encoding='ISO-8859-1')
DATA_FILE2 = 'file2.csv'
df2 = pd.read_csv(DATA_FILE2,sep=',',encoding='ISO-8859-1')
#creating a list of unique cookieids from both the files
cookielist =[]
uniqcookie1 = df1["CookieID"].unique()
uniqcookie2 = df2["CookieID"].unique()
for i in uniqcookie1:
cookielist.append(i)
for j in uniqcookie2:
cookielist.append(j)
for i in cookielist:
dfout1 = df1.loc[df1['CookieID'] == i]
dfout2 = df2.loc[df2['CookieID'] == i]
bigdata = pd.concat([dfout1, dfout2], axis=1)
k = bigdata.loc[:, bigdata.columns != 'CookieID']
k.to_csv(str(i)+".txt",header=None, index=None, sep=' ', mode='a')
QUESTION
My dataframe looks like this:
...ANSWER
Answered 2018-Mar-10 at 19:06I think need:
QUESTION
My dataframe looks like this:
...ANSWER
Answered 2018-Mar-08 at 13:45I'd do it this way:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install BHH
You can use BHH like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the BHH component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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