Difference between revisions of "Python/C2/loading-data-from-files/English-timed"
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| − | | At the end of this tutorial, you will be able to, | + | | At the end of this tutorial, you will be able to, Read data from files, containing a single column of data |
| − | + | Read multiple columns of data, separated by spaces or other delimiters. | |
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|04:29 | |04:29 | ||
| − | |So type print space L | + | |So type print space L, print space T |
| − | print space T | + | |
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|05:34 | |05:34 | ||
|Switch back to the terminal | |Switch back to the terminal | ||
| − | + | L comma T = loadtxt within bracket in single quote slash home slash fossee slash pendulum underscore semicolon.txt then comma unpack=True comma delimiter=semi-colon within single quote | |
| − | L comma T = loadtxt within bracket in single quote slash home slash fossee slash pendulum underscore semicolon.txt comma unpack=True comma | + | |
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| − | |06: | + | |06:33 |
|Okay then type print L | |Okay then type print L | ||
Latest revision as of 10:44, 27 March 2017
| Time | Narration |
| 00:01 | Hello Friends and Welcome to this tutorial on "loading data from files". |
| 00:06 | At the end of this tutorial, you will be able to, Read data from files, containing a single column of data
Read multiple columns of data, separated by spaces or other delimiters. |
| 00:19 | Let us switch to the terminal and start IPython, using ipython hypen pylab |
| 00:33 | Now, Let us begin with reading the file primes.txt, which contains a list of prime numbers listed in a column, using the loadtxt command. |
| 00:45 | Please make sure that you provide the correct path of the file, 'primes.txt'. |
| 00:50 | The file, in our case, is presented in slash home slash fossee slash primes.txt. |
| 00:59 | Otherwise we can use the cat command to locate the file and read the contents of it. |
| 01:05 | So type cat slash home slash fossee slash primes.txt |
| 01:15 | Now let us read this list into the variable primes. |
| 01:20 | So type primes = loadtxt within bracket in single quotes slash home slash fossee slash primes.txt |
| 01:41 | primes is now a sequence of prime numbers, that was listed in the file,``primes.txt``. |
| 01:49 | We now type primes,print primes to see the sequence printed so type print space primes. |
| 02:00 | We observe that all the numbers end with a period. |
| 02:04 | This is so, because these numbers are actually read as floats |
| 02:10 | Now, let us use the loadtxt command to read a file pendulum.txt that contains two columns of data. |
| 02:19 | This file contains the length of the pendulum in the first column and the corresponding time period in the second. |
| 02:26 | Note that here loadtxt needs both the columns to have equal number of rows. |
| 02:31 | We can use the cat command to view the contents of this file. |
| 02:36 | So type cat slash home slash fossee slash pendulum.txt |
| 02:50 | Let us, now, read the data into the variable pend. |
| 02:55 | Again, it is assumed that the file is in slash home slash fossee |
| 03:02 | So type pend = loadtxt within bracket in single quote slash home slash fossee slash pendulum.txt |
| 03:21 | Let us now print the variable pend and see what it contains. |
| 03:26 | So type print pend |
| 03:31 | Notice that pend is not a simple sequence like primes . |
| 03:35 | It has two sequences, containing both the columns of the data file. |
| 03:40 | Let us use an additional argument of the load txt command, to read it into two separate, simple sequences. |
| 03:50 | So type L, T space = space load txt within bracket single quote slash home slash fossee slash pendulum.txt comma unpack=True |
| 04:23 | Let us now, print the variables L and T, to see what they contain. |
| 04:29 | So type print space L, print space T |
| 04:39 | Notice, that L and T now contain the first and second columns of data from the data file, pendulum.txt, and they are both simple sequences. |
| 04:50 | unpack=True has given us the two columns into two separate sequences instead of one complex sequence. |
| 05:00 | Till now, we have learnt the basic use of the load txt command. |
| 05:05 | Let us try an example. |
| 05:07 | Pause the video here, try out the following exercise and resume the video. |
| 05:12 | Read the file pendulum underscore semicolon.txt which contains the same data as pendulum.txt, but the columns are separated by semi-colons instead of spaces. |
| 05:27 | Use the IPython help to see how to do this. |
| 05:34 | Switch back to the terminal
L comma T = loadtxt within bracket in single quote slash home slash fossee slash pendulum underscore semicolon.txt then comma unpack=True comma delimiter=semi-colon within single quote |
| 06:33 | Okay then type print L |
| 06:40 | print T |
| 06:45 | This brings us to the end of this tutorial. |
| 06:48 | In this tutorial, we have learnt to, |
| 06:51 | 1. To Read data from files, containing a single column of data using the loadtxt command. |
| 06:58 | 2. To Read multiple columns of data, separated by spaces or other delimiters. |
| 07:04 | Here are some self assessment questions for you to solve
1. loadtxt can read data from a file with one column only. True or False? |
| 07:18 | 2. Given a file data.txt with three columns of data separated by spaces, read it into 3 separate simple sequences. |
| 07:29 | 3. Given a file data.txt with three columns of data separated by ":", read it into 3 separate simple sequences. |
| 07:45 | And now the answers,1. False. |
| 07:50 | loadtxt command can read data from files having both single columns as well as multiple columns. |
| 07:58 | 2. A file with three columns of data separated by spaces to be read into 3 separate sequences, we use the loadtxt command as, x = loadtxt within bracket in double quotes data.txt comma unpack=True |
| 08:19 | 3. If a file with three columns of data separated by delimiters,we read it into three separate sequences by using an additional argument of delimiter in the loadtxt command
x = loadtxt within bracket in double quotes data.txt comma unpack=True comma delimiter=in double quotes semicolon) |
| 08:51 | Hope you have enjoyed this tutorial and found it useful. |
| 08:55 | Thank you! |
