loc | Helps anyone play with locations | Frontend Framework library
kandi X-RAY | loc Summary
kandi X-RAY | loc Summary
Location handling & geographical computations. No external API or DB.
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Top functions reviewed by kandi - BETA
- Convert an array of objects to a location .
- Returns the distance between the earth .
- Returns the distance between the earth .
- Calculate distance from distance
- Calculate degrees in meters
- Calculates the distance from meters
- Convert to degrees
- Get the arguments for the given arguments .
- Iterates over the location .
- Instantiate a new location .
loc Key Features
loc Examples and Code Snippets
Lines of Code : 18License : Permissive (MIT License)
Copydef validateIndices(self, loc: tuple):
"""
Check if given indices are valid to pick element from matrix.
Example:
>>> a = Matrix(2, 6, 0)
>>> a.validateIndices((2, 7))
False
def __setitem__(self, loc: tuple, value: float):
"""
Set array[row][column] = value where loc = (row, column).
Example:
>>> a = Matrix(2, 3, 1)
>>> a[1, 2] = 51
>>> def __getitem__(self, loc: tuple):
"""
Return array[row][column] where loc = (row, column).
Example:
>>> a = Matrix(3, 2, 7)
>>> a[1, 0]
7
"""
assert self.val Community Discussions
Trending Discussions on loc
QUESTION
I have a data frame including three columns named 'Altitude', 'Distance', 'Slope'. The column of 'Slope' is calculated using the two first columns 'Altitude', 'Distance'. @ the first step the purpose was to calculate 'Slope' using a condition explained below: A condition function was deployed to start from the top column of the "Distance" variable and add up (sum) values until the summation of them is greater or equal to 10 (>=10). If this condition corrects then calculate the "Slope" using the given formula: Slope=Average(Altitude)/(sum(Distance)). The summation of the 'Distance' was counting from the first value of that to the index that the 'Distance' has stopped there). The following code is for the above explanation (By Tim Roberts):
...ANSWER
Answered 2021-May-19 at 13:38Use this code after you calculate s to get slope column with desired values:
QUESTION
I am a beginner in Data Science, so please sorry if my mistake is dumb.
Here, I have a loop which views my data frame and makes changes using .loc The problem is that the changes are not saved at the end. I checked every step, everything is processing right. I even checked the modified cell right after working on it (look below) and its gives the value I put into it. However, when the program finishes the my excel data frame is not changed at all.
Help please. Thank you in advance!
...ANSWER
Answered 2021-Jun-13 at 21:56when the program finishes my excel data frame is not changed at all.
That's because you never wrote anything to the Excel file. With exc = pd.read_excel('...') you create a Python object exc (more specifically, a pandas DataFrame), and all the subsequent modifications happen to this object. To change the source file accordingly, you can use pandas' DataFrame.to_excel() method, by adding this line in the end:
QUESTION
Here's my csv file CSV
I'm trying to take the mean of columns "Angle Min" and "Angle Max" and then multiply every row in the resulting dataframe with the "Angle Conversion Factor" in cell D8. Likewise I want to do the same with "Torque Min" and "Torque Max" (get the mean and then multiply the resulting dataframe by the "Torque Conversion Factor" in Cell E8).
Here's my code so far:
...ANSWER
Answered 2021-Jun-15 at 21:54Your AngleConcFactor and TorqueConvFactor remain as 1x1 DataFrames in your code.
Just a slight cleanup of your function might give you what you need:
QUESTION
I have data which looks like this:
...ANSWER
Answered 2021-Jun-15 at 18:35import numpy as np
features_dict = {
'feat1': np.array([[0,1],[2,3],[4,5]]),
'feat2': np.array([[6,7],[8,9],[10,11]]),
'feat3': np.array([1, 0, 0]),
'feat4': np.array([[1],[2],[1]])
}
ind = features_dict['feat3'] == 0
features_dict = {k: v[ind] for k,v in features_dict.items()}
QUESTION
ANSWER
Answered 2021-Mar-18 at 15:40You need to define a different surrogate posterior. In Tensorflow's Bayesian linear regression example https://colab.research.google.com/github/tensorflow/probability/blob/master/tensorflow_probability/examples/jupyter_notebooks/Probabilistic_Layers_Regression.ipynb#scrollTo=VwzbWw3_CQ2z
you have the posterior mean field as such
QUESTION
I have a a few dataframes, a few thousand rows each that look similar to this :
...ANSWER
Answered 2021-Jun-15 at 15:54IIUC, if all unique id's can be sorted into contiguous blocks.
QUESTION
I have student_data data frame.
...ANSWER
Answered 2021-Jun-15 at 15:37#your sample dataframe:
student_data = pd.DataFrame({'student_id': ['fWz', 'a1m', 'a1m','4Gn','scw', 'scw', 'nF4c', 'a1m', 'scw', '4Gn', 'fWz' ],
'score': [' ', 15, 14, 11, 20, ' ', 9, 19, 17, 3, ' '] })
QUESTION
I'm working on a Dataframe which contains multiple possible values from three different sources for a single item, which is in the index, such as:
...ANSWER
Answered 2021-Jun-15 at 13:39IIUC, try:
QUESTION
I have setup SendGrid for my user registration email confirmation in my .Net 5.0 app as per Microsofts instructions here: http://go.microsoft.com/fwlink/?LinkID=532713
Everything works fine until the user clicks the confirmation link in their register confirmation email.
This issue is being caused by a stray amp in my confirmation link. I am trying to understand where it is coming from and how to remove it.
When the new user clicks 'Submit' on the Register.cshtml page they are successfully directed to the RegisterConfirmation.cshtml page and the email is received in their inbox.
Actual behavior:
The user clicks the link in the email and hits the ConfirmEmail page.
The user is redirected to /Index page.
The EmailConfirmed bool in the DB is not updated.
If I comment out the redirect to /Index in my controller, then I get a null value error shown below.
...ANSWER
Answered 2021-Jun-14 at 06:18it looks like the variable that has value is amp;code; not code. Do you have 2 ampersands somewhere by any chance? Yes you do -
QUESTION
I am trying to sort the values of my columns depending on the date (d/m/y + hour: min: sec). Below I will show you an example of the format of the given data:
Initiator Price date XXX 560 13/05/2020 11:05:35 Glovoapp 250 12/05/2020 13:07:15 Glovoapp 250 13/04/2020 12:09:25 ...ANSWER
Answered 2021-Jun-12 at 05:45The below works. There are two steps:
- Make a mask to select the right rows
- Then do the groupby and sum on only those rows
Mask function:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install loc
On a UNIX-like operating system, using your system’s package manager is easiest. However, the packaged Ruby version may not be the newest one. There is also an installer for Windows. Managers help you to switch between multiple Ruby versions on your system. Installers can be used to install a specific or multiple Ruby versions. Please refer ruby-lang.org for more information.
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