scientific-notation

How to load big double numbers in a PySpark DataFrame and persist it back without changing the numeric format to scientific notation or precision?

五迷三道 提交于 2020-12-15 07:18:10
问题 I have a CSV like that: COL,VAL TEST,100000000.12345679 TEST2,200000000.1234 TEST3,9999.1234679123 I want to load it having the column VAL as a numeric type (due to other requirements of the project) and then persist it back to another CSV as per structure below: +-----+------------------+ | COL| VAL| +-----+------------------+ | TEST|100000000.12345679| |TEST2| 200000000.1234| |TEST3| 9999.1234679123| +-----+------------------+ The problem I'm facing is that whenever I load it, the numbers

Pandas - read_csv scientific notation large number

空扰寡人 提交于 2020-08-05 16:43:59
问题 I am trying to read a csv file with pandas that has some rows in scientific notation. When it reads the values it is not capturing the true underlying number. When I re-purpose the data the true value gets lost. df = pd.read_csv('0_IDI_Submitter_out.csv') The underlying true values that I am trying to preserve are as follows: INPUT: Extra 1 0 8921107 1 56300839420000 2 56207557000000 However, pandas reads it as INPUT: Extra 1 0 8921107 1 5.63008E+13 2 5.62076E+13 If I try to write a new csv

Pandas - read_csv scientific notation large number

喜夏-厌秋 提交于 2020-08-05 16:43:36
问题 I am trying to read a csv file with pandas that has some rows in scientific notation. When it reads the values it is not capturing the true underlying number. When I re-purpose the data the true value gets lost. df = pd.read_csv('0_IDI_Submitter_out.csv') The underlying true values that I am trying to preserve are as follows: INPUT: Extra 1 0 8921107 1 56300839420000 2 56207557000000 However, pandas reads it as INPUT: Extra 1 0 8921107 1 5.63008E+13 2 5.62076E+13 If I try to write a new csv

Pandas - read_csv scientific notation large number

谁说我不能喝 提交于 2020-08-05 16:40:36
问题 I am trying to read a csv file with pandas that has some rows in scientific notation. When it reads the values it is not capturing the true underlying number. When I re-purpose the data the true value gets lost. df = pd.read_csv('0_IDI_Submitter_out.csv') The underlying true values that I am trying to preserve are as follows: INPUT: Extra 1 0 8921107 1 56300839420000 2 56207557000000 However, pandas reads it as INPUT: Extra 1 0 8921107 1 5.63008E+13 2 5.62076E+13 If I try to write a new csv

Can I turn of scientific notation in matplotlib bar chart?

孤街醉人 提交于 2020-05-26 06:11:29
问题 I have a bar chart that looks like how I want it to look, except for the scientific notation on the y-axes. Some other solutions included using ax.yaxis.set_major_formatter(tick) which didn't work. Also, I tried checking whether this was an offset-problem, but it should have shown a '+' sign, which it doesn't in this case. Whenever I use: plt.ticklabel_format(style='plain') I get an error message saying: Traceback (most recent call last): File "C:\Python\lib\site-packages\matplotlib\axes\

Disable scientific notation in python json.dumps output

心不动则不痛 提交于 2020-01-21 11:43:49
问题 json.dumps outputs small float or decimal values using scientific notation, which is unacceptable to the json-rpc application this output is sent to. >>> import json >>> json.dumps({"x": 0.0000001}) '{"x": 1e-07}' I want this output instead: '{"x": 0.0000001}' It would be ideal to avoid introducing additional dependencies. 回答1: One way to format evil = {"x": 0.00000000001} is to steal Decimal 's "f" formatter. It's the only easy way I've found that avoids both cropping problems and exponents,

Parsing scientific notation sensibly?

梦想与她 提交于 2020-01-11 13:02:06
问题 I want to be able to write a function which receives a number in scientific notation as a string and splits out of it the coefficient and the exponent as separate items. I could just use a regular expression, but the incoming number may not be normalised and I'd prefer to be able to normalise and then break the parts out. A colleague has got part way of an solution using VB6 but it's not quite there, as the transcript below shows. cliVe> a = 1e6 cliVe> ? "coeff: " & o.spt(a) & " exponent: " &

Javascript parseFloat '1.23e-7' gives 1.23e-7 when need 0.000000123

爱⌒轻易说出口 提交于 2020-01-11 01:49:06
问题 parseFloat(1.51e-6); // returns 0.00000151 parseFloat(1.23e-7); // returns 1.23e-7 // required 0.000000123 I am sorting table columns containing a wide range of floating-point numbers, some represented in scientific notation. I am using the jQuery tablesorter2.0 plugin which is using 'parseFloat' for cells that start with a digit. The issue is that parseFloat returns very small numbers represented as 1.23e-7 as a string and is not expanding this to 0.000000123. As a result tablesorter sorts

Reading ASCII numbers using “D” instead of “E” for scientific notation using C

断了今生、忘了曾经 提交于 2020-01-10 05:45:07
问题 I have a list of numbers which looks like this: 1.234D+1 or 1.234D-02 . I want to read the file using C. The function atof will merely ignore the D and translate only the mantissa. The function fscanf will not accept the format '%10.6e' because it expects an E instead of a D in the exponent. When I ran into this problem in Python, I gave up and merely used a string substitution before converting from string to float. But in C, I am sure there must be another way . So, how would you read a