dataframe

问题 I want to read the file f (file size:85GB) in chunks to a dataframe. Following code is suggested. chunksize = 5 TextFileReader = pd.read_csv(f, chunksize=chunksize) However, this code gives me TextFileReader, not dataframe. Also, I don't want to concatenate these chunks to convert TextFileReader to dataframe because of the memory limit. Please advise. 回答1: As you are trying to process 85GB CSV file, if you will try to read all the data by breaking it into chunks and converting it into

问题 I want to read the file f (file size:85GB) in chunks to a dataframe. Following code is suggested. chunksize = 5 TextFileReader = pd.read_csv(f, chunksize=chunksize) However, this code gives me TextFileReader, not dataframe. Also, I don't want to concatenate these chunks to convert TextFileReader to dataframe because of the memory limit. Please advise. 回答1: As you are trying to process 85GB CSV file, if you will try to read all the data by breaking it into chunks and converting it into

问题 I want to read the file f (file size:85GB) in chunks to a dataframe. Following code is suggested. chunksize = 5 TextFileReader = pd.read_csv(f, chunksize=chunksize) However, this code gives me TextFileReader, not dataframe. Also, I don't want to concatenate these chunks to convert TextFileReader to dataframe because of the memory limit. Please advise. 回答1: As you are trying to process 85GB CSV file, if you will try to read all the data by breaking it into chunks and converting it into

问题 I have two csv files.Depending upon the value of a cell in csv file 1 I should be able to search that value in a column of csv file 2 and get he corresponding value from other column in csv file 2. I am sorry if this very confusing.It will probably get clear by illustration CSV file 1 Car Mileage A 8 B 6 C 10 CSV file 2 Score Mileage(Min) Mileage(Max) 1 1 3 2 4 6 3 7 9 4 10 12 5 13 15 And my desired output CSV file is something like this Car Mileage Score A 8 3 B 6 2 C 10 4 Car A is given a

问题 I have two csv files.Depending upon the value of a cell in csv file 1 I should be able to search that value in a column of csv file 2 and get he corresponding value from other column in csv file 2. I am sorry if this very confusing.It will probably get clear by illustration CSV file 1 Car Mileage A 8 B 6 C 10 CSV file 2 Score Mileage(Min) Mileage(Max) 1 1 3 2 4 6 3 7 9 4 10 12 5 13 15 And my desired output CSV file is something like this Car Mileage Score A 8 3 B 6 2 C 10 4 Car A is given a

问题 I have two csv files.Depending upon the value of a cell in csv file 1 I should be able to search that value in a column of csv file 2 and get he corresponding value from other column in csv file 2. I am sorry if this very confusing.It will probably get clear by illustration CSV file 1 Car Mileage A 8 B 6 C 10 CSV file 2 Score Mileage(Min) Mileage(Max) 1 1 3 2 4 6 3 7 9 4 10 12 5 13 15 And my desired output CSV file is something like this Car Mileage Score A 8 3 B 6 2 C 10 4 Car A is given a

问题 I am researching prescription habits and have large dataframes of sold products. I am trying to transform purchases of medications into courses of the drugs by calculating how long the product would have lasted and adding a 5 day fudge factor for compliance, starting delays, etc to calculate an end date for the purchase. I then want to combine prescriptions with overlapping date windows but I'm struggling to find an efficient way to do this. I was hoping a groupby would be possible but I can

问题 I am researching prescription habits and have large dataframes of sold products. I am trying to transform purchases of medications into courses of the drugs by calculating how long the product would have lasted and adding a 5 day fudge factor for compliance, starting delays, etc to calculate an end date for the purchase. I then want to combine prescriptions with overlapping date windows but I'm struggling to find an efficient way to do this. I was hoping a groupby would be possible but I can

问题 I am researching prescription habits and have large dataframes of sold products. I am trying to transform purchases of medications into courses of the drugs by calculating how long the product would have lasted and adding a 5 day fudge factor for compliance, starting delays, etc to calculate an end date for the purchase. I then want to combine prescriptions with overlapping date windows but I'm struggling to find an efficient way to do this. I was hoping a groupby would be possible but I can

问题 I am researching prescription habits and have large dataframes of sold products. I am trying to transform purchases of medications into courses of the drugs by calculating how long the product would have lasted and adding a 5 day fudge factor for compliance, starting delays, etc to calculate an end date for the purchase. I then want to combine prescriptions with overlapping date windows but I'm struggling to find an efficient way to do this. I was hoping a groupby would be possible but I can