rows

问题 I am a new R user and new to StackOverflow. I will do my best to ask my question concisely and explicitly and my apologies if it is not communicated in the best way. I am working with two dataframes. I want to reorder the rows of one dataframe so that it is identical to the order of the rows in the second dataframe so I can add data from one to the other with their formats being the same. The column I want to reorder the rows according to is a column with character string identifiers of

问题 I am a new R user and new to StackOverflow. I will do my best to ask my question concisely and explicitly and my apologies if it is not communicated in the best way. I am working with two dataframes. I want to reorder the rows of one dataframe so that it is identical to the order of the rows in the second dataframe so I can add data from one to the other with their formats being the same. The column I want to reorder the rows according to is a column with character string identifiers of

问题 I am a new R user and new to StackOverflow. I will do my best to ask my question concisely and explicitly and my apologies if it is not communicated in the best way. I am working with two dataframes. I want to reorder the rows of one dataframe so that it is identical to the order of the rows in the second dataframe so I can add data from one to the other with their formats being the same. The column I want to reorder the rows according to is a column with character string identifiers of

问题 Using openpyxl I am creating python script that will loop through the rows of data and find rows in which some of the column are empty - these will be deleted. The range of rows is 3 to 1800. I am not excatly sure how to delete these row - please see code I have come up with so far. What I was trying to achieve is to iterate through the rows and check if columns 4, 7 values are set to None. If True I wanted to return row number into suitable collection (need advise which one would be best for

问题 Using openpyxl I am creating python script that will loop through the rows of data and find rows in which some of the column are empty - these will be deleted. The range of rows is 3 to 1800. I am not excatly sure how to delete these row - please see code I have come up with so far. What I was trying to achieve is to iterate through the rows and check if columns 4, 7 values are set to None. If True I wanted to return row number into suitable collection (need advise which one would be best for

问题 Ok, i have a table with a date column and a integer column, and i want to retrieve all the rows grouped by date's day within a certain date range; since there are not rows for every day, is it possible to make mysql return rows for those days with a default value? example source table: date value 2020-01-01 1 2020-01-01 2 2020-01-03 2 2020-01-07 3 2020-01-08 4 2020-01-08 1 Standard behaviour after group ing by date and sum ming values: 2020-01-01 3 2020-01-03 2 2020-01-07 3 2020-01-08 5

问题 I've been Googling and reading this site, and I know folks say that, in general, if you're iterating over a Dataframe, you're likely doing it wrong. So, I figure I'm doing it wrong. The challenge I'm presented with is that I need to make decisions on what to keep versus what to discard based on logic. Best explained with an example. Say my Dataframe looks like: SO_NUMBER ITEM # SALES_QTY PO_NUMBER PO_QTY PO_PRICE ENOUGH_TO_FILL -----------------------------------------------------------------

问题 I have a time series and panel data data frame with a specific ID in the first column, and a weekly status for employment: Unemployed (1), employed (0). I have 261 variables (the weeks every year) and 1.000.000 observations. I would like to count the maximum number of times '1' occurs consecutively for every row in R. I have looked a bit at rowSums and rle(), but I am not as far as I know interested in the sum of the row, as it is very important the values are consecutive. You can see an

问题 I have two data frames and I need to put the line of my second data frame as the last line of my first data frame: The first data frame is PETR3.SA: tail(PETR3.SA) PETR3.SA.Open PETR3.SA.High PETR3.SA.Low PETR3.SA.Close 2020-04-23 17.35522 17.63133 16.85232 17.09884 2020-04-24 16.86218 17.01009 15.30415 15.84650 2020-04-27 16.14233 16.68468 15.74789 16.56635 2020-04-28 17.49000 18.02000 17.11000 18.02000 2020-04-29 18.51000 19.30000 18.35000 19.00000 2020-04-30 18.73000 19.18000 18.43000 18

来源： https://stackoverflow.com/questions/24901494/how-to-disable-specific-rows-in-gridview