csv

问题 I have the CSV data as follows: A_ID P_ID 1429982904 1430370002 1430974801 1431579602 1432184403 1432789202 1435208402 1435308653 11Jgipc qjMakF 364 365 363 363 364 364 364 367 11Jgipc qxL8FJ 18 18 18 18 18 18 18 18 11Jgipc r0Bpnt 40 40 41 41 41 42 42 42 11Jgipc roLk4N 140 140 143 143 146 147 147 149 11Jgipc tOudhM 12 13 13 13 13 13 14 14 11Jgipc u-x6o8 678 678 688 688 689 690 692 695 11Jgipc u5HHmV 1778 1785 1811 1811 1819 1826 1834 1836 11Jgipc ufrVoP 67 67 67 67 67 67 67 67 11Jgipc vRqMK4

问题 I am trying to read 6 files into 7 different data frames but I am unable to figure out how should I do that. File names can be complete random, that is I know the files but it is not like data1.csv data2.csv. I tried using something like this: import sys import os import numpy as np import pandas as pd from datetime import datetime, timedelta f1='Norway.csv' f='Canada.csv' f='Chile.csv' Norway = pd.read_csv(Norway.csv) Canada = pd.read_csv(Canada.csv) Chile = pd.read_csv(Chile.csv ) I need to

问题 I have the CSV data as follows: A_ID P_ID 1429982904 1430370002 1430974801 1431579602 1432184403 1432789202 1435208402 1435308653 11Jgipc qjMakF 364 365 363 363 364 364 364 367 11Jgipc qxL8FJ 18 18 18 18 18 18 18 18 11Jgipc r0Bpnt 40 40 41 41 41 42 42 42 11Jgipc roLk4N 140 140 143 143 146 147 147 149 11Jgipc tOudhM 12 13 13 13 13 13 14 14 11Jgipc u-x6o8 678 678 688 688 689 690 692 695 11Jgipc u5HHmV 1778 1785 1811 1811 1819 1826 1834 1836 11Jgipc ufrVoP 67 67 67 67 67 67 67 67 11Jgipc vRqMK4

问题 I have the CSV data as follows: A_ID P_ID 1429982904 1430370002 1430974801 1431579602 1432184403 1432789202 1435208402 1435308653 11Jgipc qjMakF 364 365 363 363 364 364 364 367 11Jgipc qxL8FJ 18 18 18 18 18 18 18 18 11Jgipc r0Bpnt 40 40 41 41 41 42 42 42 11Jgipc roLk4N 140 140 143 143 146 147 147 149 11Jgipc tOudhM 12 13 13 13 13 13 14 14 11Jgipc u-x6o8 678 678 688 688 689 690 692 695 11Jgipc u5HHmV 1778 1785 1811 1811 1819 1826 1834 1836 11Jgipc ufrVoP 67 67 67 67 67 67 67 67 11Jgipc vRqMK4

问题 I have the following code in R: library(party) dat = read.csv("data.csv", header = TRUE) train <- dat[1:1000, ] test <- dat[1000:1200, ] output.tree <- cforest(t_class ~ var1 + var2, data = train) train_predict <- predict(output.tree, newdata = test, OOB=TRUE, type = "prob") for (name in names(train_predict)) { p <- (train_predict[[name]][1:3]) write.table(p, file = "result.csv",col.names = FALSE, append=TRUE) } I am trying to write the result of the random forest prediction to a csv file.

问题 I believe I have a unique problem as I have not seen anything like it anywhere on the Internet. I am a business analyst/application developer and I want to automatically gather the data from other user's Excel CSV file on their personal computer without opening the file and disrupting them. Is there a way? Here is the code I have so far: Option Explicit Dim MyDocuments As String, strFileName, myToday, origWorkbook, origWorksheet, strConnection Dim row As Integer Private Sub btnStart_Click()

问题 I have the following code in R: library(party) dat = read.csv("data.csv", header = TRUE) train <- dat[1:1000, ] test <- dat[1000:1200, ] output.tree <- cforest(t_class ~ var1 + var2, data = train) train_predict <- predict(output.tree, newdata = test, OOB=TRUE, type = "prob") for (name in names(train_predict)) { p <- (train_predict[[name]][1:3]) write.table(p, file = "result.csv",col.names = FALSE, append=TRUE) } I am trying to write the result of the random forest prediction to a csv file.

问题 This question already has answers here : Import csv file into a matrix/Array in Python (3 answers) Closed 5 years ago . I am trying to import a .CSV file (converted from an Excel file) into Python so I would be able to make correlation/scatter plots and histograms. How do I do that? 回答1: While you can use the csv module if you need to work with a csv file line by line, the pandas and matplotlib modules provide a higher level interface for data analysis tasks. data.csv x,y 1,2 2,4 3,6 4,7 5,11

问题 This question already has answers here : Import csv file into a matrix/Array in Python (3 answers) Closed 5 years ago . I am trying to import a .CSV file (converted from an Excel file) into Python so I would be able to make correlation/scatter plots and histograms. How do I do that? 回答1: While you can use the csv module if you need to work with a csv file line by line, the pandas and matplotlib modules provide a higher level interface for data analysis tasks. data.csv x,y 1,2 2,4 3,6 4,7 5,11

问题 I have 8 CSV files all in the same directory, and need them importing into a single data frame in R. They all follow the same naming convention, "dataUK_1.csv", "dataUK_2.csv" etc., and have the exact same structure in terms of columns. I've managed to create a vector of all the file names (including the full directory) by using: files = list.files("/Users/iarwain/Data", pattern=".csv", full.names=T) I'm just not sure how to pass these names to the read.csv command so that it loops 8 times,