fread 没有正确读取列名
fread is not reading the columns names properly
我正在尝试使用从 Apple 移动报告生成的 csv,可以找到 here。
现在一切正常,我能够按预期获得 .csv,它看起来像这样的文本:
csvtxt <- "geo_type,region,2020-01-14,2020-01-15,2020-01-16
country/region,Albania,50.1,100.2,75.3"
但是当我 fread
它时,第一行,不出所料是列名行,没有被识别为这样,即使使用我在这里某处找到但找不到的选项 check.names = FALSE
再次.
library(data.table)
fread(csvtxt, check.names = FALSE)
# V1 V2 V3 V4 V5
#1: geo_type region 2020-01-14 2020-01-15 2020-01-16
#2: country/region Albania 50.1 100.2 75.3
有没有办法导入这些数据,以便正确识别列名行?
我们需要通过将其设置为 TRUE 来强制 header。
library(data.table) # R version 4.0.2, data.table_1.13.2
fread(csvtxt, header = TRUE)
# geo_type region 2020-01-14 2020-01-15 2020-01-16
# 1: country/region Albania 50.1 100.2 75.3
来自手册:
header
Does the first data line contain column names? Defaults according to whether every non-empty field on the first data line is
type character. If so, or TRUE is supplied, any empty column names are
given a default name.
混淆可能来自 read.csv,其中 header 默认为真:
read.csv(text = csvtxt)
# geo_type region X2020.01.14 X2020.01.15 X2020.01.16
# 1 country/region Albania 50.1 100.2 75.3
我正在尝试使用从 Apple 移动报告生成的 csv,可以找到 here。
现在一切正常,我能够按预期获得 .csv,它看起来像这样的文本:
csvtxt <- "geo_type,region,2020-01-14,2020-01-15,2020-01-16
country/region,Albania,50.1,100.2,75.3"
但是当我 fread
它时,第一行,不出所料是列名行,没有被识别为这样,即使使用我在这里某处找到但找不到的选项 check.names = FALSE
再次.
library(data.table)
fread(csvtxt, check.names = FALSE)
# V1 V2 V3 V4 V5
#1: geo_type region 2020-01-14 2020-01-15 2020-01-16
#2: country/region Albania 50.1 100.2 75.3
有没有办法导入这些数据,以便正确识别列名行?
我们需要通过将其设置为 TRUE 来强制 header。
library(data.table) # R version 4.0.2, data.table_1.13.2
fread(csvtxt, header = TRUE)
# geo_type region 2020-01-14 2020-01-15 2020-01-16
# 1: country/region Albania 50.1 100.2 75.3
来自手册:
header
Does the first data line contain column names? Defaults according to whether every non-empty field on the first data line is type character. If so, or TRUE is supplied, any empty column names are given a default name.
混淆可能来自 read.csv,其中 header 默认为真:
read.csv(text = csvtxt)
# geo_type region X2020.01.14 X2020.01.15 X2020.01.16
# 1 country/region Albania 50.1 100.2 75.3