Learning Numpy - Simple Tutorial For Beginners - NumPy - Array From Numerical Ranges Part 7¶
numpy.arange¶
This function returns an ndarray object containing evenly spaced values within a given range. The format of the function is as follows −
numpy.arange(start, stop, step, dtype)
| Parameter | Description |
|---|---|
| start | The start of an interval. If omitted, defaults to 0 |
| stop | The end of an interval (not including this number) |
| step | Spacing between values, default is 1 |
| dtype | Data type of resulting ndarray. If not given, data type of input is used |
Example 1¶
import numpy as np
x = np.arange(5)
print (x)
Example 2¶
import numpy as np
# dtype set
x = np.arange(5, dtype = float)
print (x)
Example 3¶
# start and stop parameters set
import numpy as np
x = np.arange(10,20,2)
print (x)
numpy.linspace¶
This function is similar to arange() function. In this function, instead of step size, the number of evenly spaced values between the interval is specified. The usage of this function is as follows −
numpy.linspace(start, stop, num, endpoint, retstep, dtype)
| Parameter | Description |
|---|---|
| start | The starting value of the sequence |
| stop | The end value of the sequence, included in the sequence if endpoint set to true |
| num | The number of evenly spaced samples to be generated. Default is 50 |
| endpoint | True by default, hence the stop value is included in the sequence. If false, it is not included |
| retstep | If true, returns samples and step between the consecutive numbers |
| dtype | Data type of output ndarray |
Example 1¶
import numpy as np
x = np.linspace(10,20,5)
print (x)
Example 2¶
# endpoint set to false
import numpy as np
x = np.linspace(10,20, 5, endpoint = False)
print (x)
Example 3¶
# find retstep value
import numpy as np
x = np.linspace(1,2,5, retstep = True)
print (x)
# retstep here is 0.25
numpy.logspace¶
This function returns an ndarray object that contains the numbers that are evenly spaced on a log scale. Start and stop endpoints of the scale are indices of the base, usually 10.
numpy.logspace(start, stop, num, endpoint, base, dtype)
Following parameters determine the output of logspace function.
| Parameter | Description |
|---|---|
| start | The starting point of the sequence is basestart |
| stop | The final value of sequence is basestop |
| num | The number of values between the range. Default is 50 |
| endpoint | If true, stop is the last value in the range |
| base | Base of log space, default is 10 |
| dtype | Data type of output array. If not given, it depends upon other input arguments |
Example 1¶
import numpy as np
# default base is 10
a = np.logspace(1.0, 2.0, num = 10)
print (a)
Example 2¶
# set base of log space to 2
import numpy as np
a = np.logspace(1,10,num = 10, base = 2)
print (a)
Dolly Solanki
Dolly Solanki
Intro: Founder | Digital Marketer | Android Developer | Python Developer
About: Dolly S. Solanki, a Digital Marketer by profession, has in-depth knowledge in SEO, SMM, Content Marketing, Local SEO, and Mobile SEO. Dolly has extensive experience handling domestic and on-site clients meticulously and managing their websites. Moreover, at CoderzColumn, all your digital marketing queries will be resolved within the shortest time span. If you want to improve the ranking of your website through organic ways, Dolly is here to help you.
Apart from Digital Marketing, she has hands-on experience developing WordPress, Magento, and Opencart websites. Understanding the client's requirements and providing a full-fledged website is her forte.
She has not limited herself to digital marketing and website development, but diversifies her skills in the field of Data Science and Data Visualization. She has also posted various Python and Data Visualization tutorials/blogs on the CoderzColumn platform.
GypsyLifestyleBuzz
Contact: dollyborade07@gmail.com
![YouTube Subscribe]()
Comfortable Learning through Video Tutorials?
If you are more comfortable learning through video tutorials then we would recommend that you subscribe to our YouTube channel.
![Need Help]()
Stuck Somewhere? Need Help with Coding? Have Doubts About the Topic/Code?
Stuck Somewhere? Need Help with Coding? Have Doubts About the Topic/Code?When going through coding examples, it's quite common to have doubts and errors.
If you have doubts about some code examples or are stuck somewhere when trying our code, send us an email at coderzcolumn07@gmail.com. We'll help you or point you in the direction where you can find a solution to your problem.
You can even send us a mail if you are trying something new and need guidance regarding coding. We'll try to respond as soon as possible.
![Share Views]()
Want to Share Your Views? Have Any Suggestions?
Want to Share Your Views? Have Any Suggestions?If you want to
- provide some suggestions on topic
- share your views
- include some details in tutorial
- suggest some new topics on which we should create tutorials/blogs
numpy, basics
Subscribe to Our YouTube Channel
