multiple-columns

问题 Is there a short way to test for identity over multiple columns? For example, over this input data=data.table(one=c(1,2,3,4), two=c(7,8,9,10), three=c(1,2,3,4), four=c(1,2,3,4) ) Is there something that would return all the columns that are identical to data$one? Something like allcolumnsidentity(data$one, data) # compares all columns with respect to data$one Should return (TRUE, FALSE, TRUE, TRUE) since data$three and data$four are identical to data$one. I saw the identical() and comapre()

问题 Is there a short way to test for identity over multiple columns? For example, over this input data=data.table(one=c(1,2,3,4), two=c(7,8,9,10), three=c(1,2,3,4), four=c(1,2,3,4) ) Is there something that would return all the columns that are identical to data$one? Something like allcolumnsidentity(data$one, data) # compares all columns with respect to data$one Should return (TRUE, FALSE, TRUE, TRUE) since data$three and data$four are identical to data$one. I saw the identical() and comapre()

问题 I have a dataframe (df) that has 44 columns and I want to rename columns 2:44. I have a list (namesList) of length 42 that has the new column names. I then try to rename my columns by using the list: df.columns[2:len(df.columns)] = namesList However I get the error: TypeError: Index does not support mutable operations Why do I get this error? 回答1: You need generate new columns names - first and second value from old one and another from list : df.columns = df.columns[:2].tolist() + namesList

问题 I have a dataframe (df) that has 44 columns and I want to rename columns 2:44. I have a list (namesList) of length 42 that has the new column names. I then try to rename my columns by using the list: df.columns[2:len(df.columns)] = namesList However I get the error: TypeError: Index does not support mutable operations Why do I get this error? 回答1: You need generate new columns names - first and second value from old one and another from list : df.columns = df.columns[:2].tolist() + namesList

问题 I have a dataframe (df) that has 44 columns and I want to rename columns 2:44. I have a list (namesList) of length 42 that has the new column names. I then try to rename my columns by using the list: df.columns[2:len(df.columns)] = namesList However I get the error: TypeError: Index does not support mutable operations Why do I get this error? 回答1: You need generate new columns names - first and second value from old one and another from list : df.columns = df.columns[:2].tolist() + namesList

问题 I have a dataframe: Date 0:15 0:30 0:45 ... 23:15 23:30 23:45 24:00 2004-05-01 3.74618 3.58507 3.30998 ... 2.97236 2.92008 2.80101 2.6067 2004-05-02 3.09098 3.84625 3.54672 ... 2.83725 2.93876 2.82762 2.6255 How do I convert it to: Date value 2004-05-01 0:15 3.74618 2004-05-01 0:30 3.58507 2004-05-01 0:45 3.30998 ... I wrote some code which does work, but I'm sure it's possible to do the same in more elegant couple of lines code cols = [] for col in frame.columns.values: if col != '24:00': dt

来源： https://stackoverflow.com/questions/50614023/split-a-dataframe-into-all-possible-combinations-of-dataframes-by-3-columns-in-r

来源： https://stackoverflow.com/questions/62555995/multiple-conditions-on-pandas-dataframe

来源： https://stackoverflow.com/questions/50751659/multiply-several-sets-of-columns-in-the-same-data-table

来源： https://stackoverflow.com/questions/50751659/multiply-several-sets-of-columns-in-the-same-data-table