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Pandas: How to read xlsx files from a folder matching only specific names


By : Syndrome
Date : August 01 2020, 08:00 AM
Hope this helps I have a folder full of excel files and i have to read only 3 files from that folder and put them into individual dataframes. , Use glob.glob to do your pattern matches
code :
import glob

for i in glob.glob('Asterix_*.xlsx'):
    ...


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move matching files in folder if they match a specific destination folder name


By : xiaoming deng
Date : March 29 2020, 07:55 AM
I wish this help you I can not figure out how to move files to a folder if the match part of the name of the folder. , You can modify your existing script like this:
code :
sub='picard/fastqc/bedtools/30x'

for f in /home/cmccabe/Desktop/NGS/API/2-19-2016/*.bam
do
   base="${f%.*}"
   mkdir -p {"$base","$base/$sub"}

   mv "$f" "$base/"
   mv "$sub/$f"* "$base/$sub/"
done

Read all xlsx-Files in a folder and save the files in different DataFrames


By : user2835648
Date : March 29 2020, 07:55 AM
To fix the issue you can do I'm assuming you have the save data frame bit already and you just want to do the variable name part.
A couple of ways you can work with this:
code :
import pandas as pd
import os

path = os.getcwd()
files = os.listdir(path)

files_xls = [f for f in files if f[-4:] == 'xlsx']

for index. filename in enumerate(files_xls):
    exec(f"df{index}" = pd.read_excel({filename}, sheet_name=None)" )

How to read and rbind all .xlsx files in a folder efficiently using read_excel


By : Jenzri_Nizar
Date : March 29 2020, 07:55 AM
will help you You're on the right track here. But you need to use map_dfr instead of plain-vanilla map. map_dfr outputs a data frame (or actually tibble) for each iteration, and combines them via bind_rows.
This should work:
code :
library(readxl)
library(tidyverse)
file.list <- list.files(pattern='*.xlsx')
alldata <- file.list %>%
  map_dfr(~read_excel(.x))

Read multiple .xlsx files from a directory into separate Pandas data frames based on file name


By : Marcos Duran
Date : March 29 2020, 07:55 AM
hope this fix your issue I want to load multiple xlsx files with varying structures from a directory and assign these their own data frame based on the file name. I have 30+ files with differing structures but for brevity please consider the following: , I would parse them into a dictionary of DataFrame's:

How to use python3 to read some specific columns of .xlsx files, sort them by time and put them into new row?


By : Noorie
Date : March 29 2020, 07:55 AM
wish helps you I have a .xlsx data likes this. , you can use melt to do this
firs sort values
code :
df.sort_values('NAME', inplace=True)

df.melt(id_vars='NAME', value_vars=df.columns[1:])
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