Aashish sharma Sharma
Aashish sharma Sharma

Reputation: 307

Parsing time in csv in python

I have CSV file which has 2 columns. Time, Value. I want to read value, say corresponding to 104 nanoseconds but problem is Time is in exponential format and power of exponent keep on changing to ensure that there is just one digit before the decimal. Example.

  1. 9.829581682732399e-08
  2. 9.832266867048999e-08
  3. 1.00221920509641e-07
  4. 1.04344516783252e-07

One way is I read entire column then read last 2 digit and see how many nanoseconds it is. Is there a 'Pythonian' way to do this more quickly?

Upvotes: 0

Views: 59

Answers (1)

RichSmith
RichSmith

Reputation: 940

Assuming your exponential values are numbers and not strings, exponential values are valid floats, so you could just multiply the values in the column by 10^9 for nano seconds

for example:

6.e-07 * 1000000000

would give you 600

if it is a string, then you can just cast it to a float:

float("6.e-07") * 1000000000

Upvotes: 1

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