Related
Natelvi I have a dataframe with columns representing patients of different ages and another dataframe with values for those ages. I want to subset the data so that only patients under the age of 50 are shown > dat
GSM27015.26.M GSM27016.26.M GSM27
big smoke I have a dataframe awith 4 identity columns : A, B, C, D. The second data frame bcreated using contains a summary of all the values of ddply()the distinct Ds for each group A,B,C. The third dataframe ccontains the subset with wrong values that bI wan
Yang Yang| I have two dataframes ( df1and df2) and I want to subset df2 based on the first two columns contained in df1. E.g, df1 = data.frame(x=c(1,1,1,1,1),y=c(1,2,3,4,5),value=c(3,4,5,6,7))
df2 = data.frame(x=c(1,1,1,1,1,2), y=c(5,3,4,2,1,6), value=c(8,9,10
Jane Harger I have three data.frames, each with a name called col. I want to filter out all rows DataFrame1that have values colsuch as a, band cappear din DataFrame2. For this I am using subset(DataFrame1, !(col %in% DataFrame2$col))
DataFrame3Contains a list
Lin Silin I have a list of methylation array dataframes called betatable: sample_A sample_B ... chr position
0.5 0.3 chr1 75939
0.3 0.6 chr2 11195
...
I want to subset the above dataframe and generate another dataframe based
Ali I have two questions. Q1: How to subset a dataframe by extracting some columns from the main dataframe. For example I have dfacas dataframe. ac<-c("a","b","c","d")
dc<-c(1,4,4,3)
bc<-c(1,1,0,0)
dfac<-data.frame(ac,dc,bc)
I need to call subset df subdfby
Ali I have two questions. Q1: How to subset a dataframe by extracting some columns from the main dataframe. For example I have dfacas dataframe. ac<-c("a","b","c","d")
dc<-c(1,4,4,3)
bc<-c(1,1,0,0)
dfac<-data.frame(ac,dc,bc)
I need to call subset df subdfby
Alex I would like to select columns from the dataframe based on their name with the dfhelp of another dataframe dfkey(but not necessary i.e. can be converted to a list etc.) which acts as some kind of key and has some column names dfstored. Example below: df <
Ali I have two questions. Q1: How to subset a dataframe by extracting some columns from the main dataframe. For example I have dfacas dataframe. ac<-c("a","b","c","d")
dc<-c(1,4,4,3)
bc<-c(1,1,0,0)
dfac<-data.frame(ac,dc,bc)
I need to call subset df subdfby
ruby I have two different datasets. Based on column values in these 2 data framesthe conditions of the new dataset I want to create. d1=pd.DataFrame({'ID':[57,58,59,68,61],'Period':['Day_3','Day_4','Day_5','Day_3','Day_2'],'pay':[1000,3000,2000,1000,5000]})
d2
Alex I would like to select columns from the dataframe based on their name with the dfhelp of another dataframe dfkey(but not necessary i.e. can be converted to a list etc.) which acts as some kind of key and has some column names dfstored. Example below: df <
Chris Dias My R skills are very limited and after hours of searching for a solution I can't see any viable options. I have several large data tables. I want to copy part of each column into a dataframe to populate a column in it. My datatables (tabn1, tabn2, t
BCArg： I have the following table1which is a dataframe consisting of 6 columns and 8083 rows. Below, I show this header table1: |gene ID | prom_65| prom_66| amast_69| amast_70| p_value|
|:--------------|---------:|---------:|---------:|---------
Sim101011 I have two dataframes import pandas as pd
points = pd.DataFrame({'player':['a','b','c','d','e'],'points':[2,5,3,6,1]})
matches = pd.DataFrame({'p1':['a','c','e'], 'p2':['c', 'b', 'd']})
I only want to keep those rows in the dataframe matches where b
Jane Harger I have three data.frames, each with a name called col. I want to filter out all rows DataFrame1that have values colsuch as a, band cappear din DataFrame2. For this I am using subset(DataFrame1, !(col %in% DataFrame2$col))
DataFrame3Contains a list
Arginine I have the following table1, which is a dataframe consisting of 6 columns and 8083 rows. Below, I show this header table1: |gene ID | prom_65| prom_66| amast_69| amast_70| p_value|
|:--------------|---------:|---------:|---------:|-----
Ali I have two questions. Q1: How to subset a dataframe by extracting some columns from the main dataframe. For example I have dfacas dataframe. ac<-c("a","b","c","d")
dc<-c(1,4,4,3)
bc<-c(1,1,0,0)
dfac<-data.frame(ac,dc,bc)
I need to call subset df subdfby
ruby I have two different datasets. Based on column values in these 2 data framesthe conditions of the new dataset I want to create. d1=pd.DataFrame({'ID':[57,58,59,68,61],'Period':['Day_3','Day_4','Day_5','Day_3','Day_2'],'pay':[1000,3000,2000,1000,5000]})
d2
Ali I have two questions. Q1: How to subset a dataframe by extracting some columns from the main dataframe. For example I have dfacas dataframe. ac<-c("a","b","c","d")
dc<-c(1,4,4,3)
bc<-c(1,1,0,0)
dfac<-data.frame(ac,dc,bc)
I need to call subset df subdfby
ruby I have two different datasets. Based on column values in these 2 data framesthe conditions of the new dataset I want to create. d1=pd.DataFrame({'ID':[57,58,59,68,61],'Period':['Day_3','Day_4','Day_5','Day_3','Day_2'],'pay':[1000,3000,2000,1000,5000]})
d2
Ali I have two questions. Q1: How to subset a dataframe by extracting some columns from the main dataframe. For example I have dfacas dataframe. ac<-c("a","b","c","d")
dc<-c(1,4,4,3)
bc<-c(1,1,0,0)
dfac<-data.frame(ac,dc,bc)
I need to call subset df subdfby
BCArg： I have the following table1which is a dataframe consisting of 6 columns and 8083 rows. Below, I show this header table1: |gene ID | prom_65| prom_66| amast_69| amast_70| p_value|
|:--------------|---------:|---------:|---------:|---------
Yang Yang| I have two dataframes ( df1and df2) and I want to subset df2 based on the first two columns contained in df1. E.g, df1 = data.frame(x=c(1,1,1,1,1),y=c(1,2,3,4,5),value=c(3,4,5,6,7))
df2 = data.frame(x=c(1,1,1,1,1,2), y=c(5,3,4,2,1,6), value=c(8,9,10
Sim101011 I have two dataframes import pandas as pd
points = pd.DataFrame({'player':['a','b','c','d','e'],'points':[2,5,3,6,1]})
matches = pd.DataFrame({'p1':['a','c','e'], 'p2':['c', 'b', 'd']})
I only want to keep those rows in the dataframe matches where b
Ali I have two questions. Q1: How to subset a dataframe by extracting some columns from the main dataframe. For example I have dfacas dataframe. ac<-c("a","b","c","d")
dc<-c(1,4,4,3)
bc<-c(1,1,0,0)
dfac<-data.frame(ac,dc,bc)
I need to call subset df subdfby
Ali I have two questions. Q1: How to subset a dataframe by extracting some columns from the main dataframe. For example I have dfacas dataframe. ac<-c("a","b","c","d")
dc<-c(1,4,4,3)
bc<-c(1,1,0,0)
dfac<-data.frame(ac,dc,bc)
I need to call subset df subdfby
ruby I have two different datasets. Based on column values in these 2 data framesthe conditions of the new dataset I want to create. d1=pd.DataFrame({'ID':[57,58,59,68,61],'Period':['Day_3','Day_4','Day_5','Day_3','Day_2'],'pay':[1000,3000,2000,1000,5000]})
d2
ruby I have two different datasets. Based on column values in these 2 data framesthe conditions of the new dataset I want to create. d1=pd.DataFrame({'ID':[57,58,59,68,61],'Period':['Day_3','Day_4','Day_5','Day_3','Day_2'],'pay':[1000,3000,2000,1000,5000]})
d2
ruby I have two different datasets. Based on column values in these 2 data framesthe conditions of the new dataset I want to create. d1=pd.DataFrame({'ID':[57,58,59,68,61],'Period':['Day_3','Day_4','Day_5','Day_3','Day_2'],'pay':[1000,3000,2000,1000,5000]})
d2