tabulate

XLS Transformation from XML in particular table order

由 浪子不回头ぞ 提交于 2021-01-29 07:16:55
问题 I have the XML file below for which I'm trying to create a XSLT template to tabulate some nodes. May someone could help me out please. <Main> <Document>Doc.1</Document> <Cini>DDFR</Cini> <List> <SubList> <CdTa>ABC</CdTa> <NN>XYZ</NN> <ND> <RiS> <RiN> <NSE14> <MNRs> <MRD> <NR> <N1>393</N1> <N2>720</N2> <SNR> <NR_i>203</NR_i> <NR_f>49994</NR_f> </SNR> </NR> </MRD> <MRD> <NR> <N1>687</N1> <N2>345</N2> <SNR> <NR_i>55005</NR_i> <NR_f>1229996</NR_f> </SNR> </NR> </MRD> </MNRs> <GNRs> <RD> <NR> <N1

How to construct data frame from Web Scraping in Python

由 南笙酒味 提交于 2020-04-17 21:58:31
问题 I can fetch data from web page thru web scraping in Python. My data is fetched into a list. But don't know how to transform that list into a data frame. Is there any way I could web scrape and fetch data directly to a df? Here is my code: import pandas as pd import requests from bs4 import BeautifulSoup from tabulate import tabulate from pandas import DataFrame import lxml # GET the response from the web page using requests library res = requests.get("https://www.worldometers.info/coronavirus

How to construct data frame from Web Scraping in Python

由 蓝咒 提交于 2020-04-17 21:58:31
问题 I can fetch data from web page thru web scraping in Python. My data is fetched into a list. But don't know how to transform that list into a data frame. Is there any way I could web scrape and fetch data directly to a df? Here is my code: import pandas as pd import requests from bs4 import BeautifulSoup from tabulate import tabulate from pandas import DataFrame import lxml # GET the response from the web page using requests library res = requests.get("https://www.worldometers.info/coronavirus

Tabulate coefficients from lm

由 巧了我就是萌 提交于 2019-12-31 04:00:12
问题 I have 10 linear models where I only need some information, namely: r-squared, p-value, coefficients of slope and intercept. I managed to extract these values (via ridiculously repeating the code). Now, I need to tabulate these values (Info in the columns; the rows listing results from linear models 1-10). Can anyone please help me? I have hundreds more linear models to do. I'm sure there must be a way. Data file hosted here Code: d<-read.csv("example.csv",header=T) # Subset data A3G1 <-

Pretty print data in tkinter Label

由 為{幸葍}努か 提交于 2019-12-17 14:57:01
问题 I have following sample data data=[(1,'JohnCena','Peter',24,74), (2,'James','Peter',24,70), (3,'Cena','Peter',14,64), (14,'John','Mars',34,174)] I want to print it on python gui in a beutiful tabular way on tkinter output window. I am using tabulate package to print. Here is my function def display_date(): disp=pd.DataFrame(data,columns=['id','first name','last name','age','marks']) newwin = Toplevel(right_frame) newwin.geometry('500x400') Label_data=Label(newwin,text=tabulate(disp, headers=

Python - HTML - Send HTML Table with CSS Style

由 戏子无情 提交于 2019-12-11 15:56:07
问题 I'm trying to send a email with a table as a body with some CSS configurations. For that I have the following code: import csv from tabulate import tabulate from email.mime.multipart import MIMEMultipart from email.mime.text import MIMEText import smtplib text = """Hello, Friend.Here is your data:{table}Regards,Me""" html = """"\ <html> <head> <style type="text/css"> .tg {border-collapse:collapse;border-spacing:0;} .tg td{font-family:Arial, sans-serif;font-size:14px;padding:10px 5px;border

Relate elements in table form from Json file with jq

由 ≯℡__Kan透↙ 提交于 2019-12-11 04:26:10
问题 I'm new to jq and I have the following code to obtain tabulated the values for each element called Abc : ["Abc"], ( .. | objects | select(has("Abc")) | [.["Abc"]] ) | @tsv This is the current output I get: "Abc" "4" "2" "1" "9" "3" "2" "4" "9" I would like to add 4 columns to the left to show for each Abc value the corresponding page, row and column. Additionally if possible as first column add a counter from 1 to number of "Abc" elements. Below I show the current output, compared with the
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