scientific-notation

Writing a data frame with a mix of small integer entries (value less than 1000) and "large" ones (value 1000 or more) into csv file with write_csv() mixes scientific and non-scientific entries. If the first 1000 rows are small values but there is a large value thereafter, read_csv() seems to get confused with this mix and outputs NA for scientific notations: test_write_read <- function(small_value, n_fills, position, large_value) { tib <- tibble(a = rep(small_value, n_fills)) tib$a[position] <- large_value write_csv(tib, "tib.csv") tib <- read_csv("tib.csv") } The following lines do not make

I have a big, old, FORTRAN 77 code that has worked for many, many years with no problems. Double-precision is not enough anymore, so to convert to quadruple-precision I have: Replaced all occurrences of REAL*8 to REAL*16 Replaced all functions like DCOS() into functions like COS() Replaced all built-in numbers like 0.d0 to 0.q0 , and 1D+01 to 1Q+01 The program compiles with no errors or warnings with the gcc-4.6 compiler on operating system: openSUSE 11.3 x86_64 (a 64-bit operating system) hardware: Intel Xeon E5-2650 (Sandy Bridge) My LD_LIBRARY_PATH variable is set to the 64-bit library

I'm using Java's DecimalFormat class to print out numbers in Scientific Notation. However, there is one problem that I have. I need the strings to be of fixed length regardless of the value, and the sign on the power of ten is throwing it off. Currently, this is what my format looks like: DecimalFormat format = new DecimalFormat("0.0E0"); This gives me the following combinations: 1.0E1, 1.0E-1, -1.0E1, and -1.0E-1. I can use setPositivePrefix to get: +1.0E1, +1.0E-1, -1.0E1, and -1.0E-1, or whatever I like, but it doesn't affect the sign of the power! Is there any way to do this so that I can

How do I convert a scientific notation to floating point number? Here is an example of what I want to avoid: Python 2.7.3 (default, Apr 14 2012, 08:58:41) [GCC] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> a=[78.40816326530613, 245068094.16326532] >>> print a[0]/a[1] 3.19944395589e-07 >>> print float(a[0]/a[1]) 3.19944395589e-07 >>> print float(a[0])/float(a[1]) 3.19944395589e-07 Dhara The scientific notation is just a convenient way of printing a floating point number. When there are a lot of leading zeros as in your example, the scientific notation

I have a column called accountnumber with values similar to 4.11889000e+11 in a pandas dataframe. I want to suppress the scientific notation and convert the values to 4118890000. I have tried the following method and did not work. df = pd.read_csv(data.csv) pd.options.display.float_format = '{:,.3f}'.format Please recommend. I assume the exponential notation for the account numbers must come from the data file. If I create a small csv with the full account numbers, pandas will interpret them as integers. acct_num 0 4118890000 1 9876543210 df['acct_num'].dtype Out[51]: dtype('int64') However,

I have a simple plot: #!/usr/bin/Rscript png('plot.png') y <- c(102, 258, 2314) x <- c(482563, 922167, 4462665) plot(x,y) dev.off() R uses 500, 1000, 1500, etc for the y axis. Is there a way I can use scientific notation for the y axis and put * 10^3 on the top of the axis like the figure below? This is sort of a hacky way, but there's nothing wrong with it: plot(x,y/1e3, ylab="y /10^3") A similar technique is to use eaxis (extended / engineering axis) from the sfsmisc package. It works like this: library(sfsmisc) x <- c(482563, 922167, 4462665) y <- c(102, 258, 2314) plot(x, y, xaxt="n", yaxt