import-from-excel

问题 This is where i get the error: $data = Excel::import($path, function($reader) {})->get(); I changed the load() to import() . I want to run this code in Laravel 6, but version 3 of MaatWebsiteExcel does not support load() . I've been searching for solutions, yet i cant find any.... This is my controller: namespace App\Http\Controllers; use App\Contact; use App\CsvData; use App\Http\Requests\CsvImportRequest; use Illuminate\Http\Request; use Maatwebsite\Excel\Facades\Excel; use Session; use DB;

问题 I am new to react JS. I am trying to perform uploading Excel sheet file using react.js and display data to a table. I got partial reference from the link but, it is not complete. Please help with it. Importing data from excel and displaying in a react component 回答1: You can use the library like https://react-dropzone.js.org/ to upload files and then use https://github.com/felixrieseberg/React-Spreadsheet-Component library to display it. 回答2: react-excel-renderer There's a perfect library

问题 Goal: Import, transform / prep, and animate a coronavirus dataset from .xlsx using only R. Text from Reproducible Error: Error in seq.default(range[1], range[2], length.out = nframes) : 'from' must be a finite number R Script: # tidyverse contains ggplot2, dplyr, readr, and tibble libraries # ggplot2 contains scales library # install.packages("tidyverse") library("tidyverse") # install.packages("RColorBrewer") library("RColorBrewer") # install.packages("ggthemes") library("ggthemes") #

问题 Goal: Import, transform / prep, and animate a coronavirus dataset from .xlsx using only R. Text from Reproducible Error: Error in seq.default(range[1], range[2], length.out = nframes) : 'from' must be a finite number R Script: # tidyverse contains ggplot2, dplyr, readr, and tibble libraries # ggplot2 contains scales library # install.packages("tidyverse") library("tidyverse") # install.packages("RColorBrewer") library("RColorBrewer") # install.packages("ggthemes") library("ggthemes") #

问题 Well, I've learned how to render html graphics with the tag canvas recently. But filling in the data manually is a little painful ... I wanted to know if it is possible to get this data straight from an Excel spreadsheet using just JavaScript. This is my code so far ... <div> <canvas class="line-chart"></canvas> <script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.5.0/Chart.min.js"></script> <script> var ctx = document.getElementsByClassName("line-chart"); var dia = ["Dia 1", "Dia 2

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 2 years ago . I have a set of data as input to be given to MongoDB in XLSX format. How am I supposed to import the Excel file as input to MongoDB? Is there any plugin available to import xlsx files as input to MongoDB? 回答1: You cannot import an XLSX file into MongoDB directly. However, what you can do with an Excel

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 2 years ago . I have a set of data as input to be given to MongoDB in XLSX format. How am I supposed to import the Excel file as input to MongoDB? Is there any plugin available to import xlsx files as input to MongoDB? 回答1: You cannot import an XLSX file into MongoDB directly. However, what you can do with an Excel

问题 I have a 14MB Excel file with five worksheets that I'm reading into a Pandas dataframe, and although the code below works, it takes 9 minutes! Does anyone have suggestions for speeding it up? import pandas as pd def OTT_read(xl,site_name): df = pd.read_excel(xl.io,site_name,skiprows=2,parse_dates=0,index_col=0, usecols=[0,1,2],header=None, names=['date_time','%s_depth'%site_name,'%s_temp'%site_name]) return df def make_OTT_df(FILEDIR,OTT_FILE): xl = pd.ExcelFile(FILEDIR + OTT_FILE) site_names

问题 I have a 14MB Excel file with five worksheets that I'm reading into a Pandas dataframe, and although the code below works, it takes 9 minutes! Does anyone have suggestions for speeding it up? import pandas as pd def OTT_read(xl,site_name): df = pd.read_excel(xl.io,site_name,skiprows=2,parse_dates=0,index_col=0, usecols=[0,1,2],header=None, names=['date_time','%s_depth'%site_name,'%s_temp'%site_name]) return df def make_OTT_df(FILEDIR,OTT_FILE): xl = pd.ExcelFile(FILEDIR + OTT_FILE) site_names

问题 'I have an excel file which contains many columns with strings, but i want to import certain columns of this excel file containing 'NGUYEN'. I want to generate a string from columns in my excel which had 'NGUYEN' in them. import pandas as pd data = pd.read_excel("my_excel.xlsx", parse_cols='NGUYEN' in col for cols in my_excel.xlsx, skiprows=[0]) data = data.to_string() print(data) SyntaxError: invalid syntax my_excel.xlsx Function output should be data = 'NGUYEN VIETNAM HANOIR HAIR PANTS