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QUESTION
I'm rather new to python and I've been given a data science assignment for which I have to choose an API (chose global-warming.org) and then clean, parse and store the data as a json file, then load it into a dataframe for further analysis. Then I have to analyse the data using matplotlib etc. I have decided I will extract each of the API's for the greenhouse gases (CH4, CO2, N2O), cut each of the datasets down to just March 2020 - present and then see if I can analyse how the pandemic has influenced greenhouse gas production. I am struggling however, to load the initial methane data (taken monthly for each year) into a clean dataframe using the json file I have stored it in. As the pictures below show, the "date" column seems to change drastically from the e.g. 2020.4 format to this format: 1970-01-01 00:33:40.700 ?
I would be so, so, grateful if someone could give me an idea how to get around this. If anyone had any general suggestions as to how to go about the assignment too I would be in your debt, but I am currently stuck on this one problem and figuring it out would be a huge help in itself, I'm sure it's something simple I'm missing...
Thanks so much!
yearly_methane.json
file example lines:
ANSWER
Answered 2021-Mar-14 at 23:05First use convert_dates=False
to bypass the automatic parsing and dtype={'date': str}
to force the date
column as a raw string:
QUESTION
I have a .dat file that looks like this.
...ANSWER
Answered 2021-Mar-13 at 01:38You can try to open the file and load the data manually. I'm using standard shlex
module to get rid of the quotes:
QUESTION
I have a List of items that are inside a circle. I am using hardcoded values for the alignment. I need it to be based off the central point of the circle and by the length of the array.
Need to get rid of these "yAxis: -40, yAxis: -40, yAxis: 0, yAxis: 20";
And also have some space between line items.
...ANSWER
Answered 2021-Mar-02 at 04:48One solution out of many is setting a padding...
QUESTION
ANSWER
Answered 2021-Mar-02 at 00:20Set the dominant-baseline
(e.g., central
) accordingly, and move the texts by the size of the circles, plus a little padding.
Here is your code with those changes:
QUESTION
I have two thermodynamic relationships for low (300-1000K) and high (1000-3000K) temperatures. If I want to use both of these in Gekko, how can I combine them into a single correlation that I can use in an optimization problem?
Here is a section of Python code that calculates either the low or high temperature relationship from 300K to 3000K.
...ANSWER
Answered 2020-Sep-24 at 03:07There are a few approaches to use a conditional function in your optimization or simulation problem. The first approach not exact but may be a suitable approximation by using a cubic spline that creates an interpolation between sampled points (see approach #1). The second approach is exact but requires either an Mathematical Program with Complementarity Constraints (MPCC) with if2()
or an Integer Switch variable with if3()
(see approach #2). These two approaches are discussed in the Design Optimization Course page on Logical Conditions in Optimization.
QUESTION
ANSWER
Answered 2020-Aug-24 at 20:04This could be achieved like so. Important step was to give all three scales the same name so that the legends are merged into one:
BTW: I also dropped the second geom_point layer and simply added the black color as an argument.
EDIT: As @chemdork123 correctly pointed out in his comment, the issue could have been more easily be solved by setting the same labels for all three scales in the labs()
statement or by dropping the empty, i.e. ""
labels for the color
and shape
scales.
QUESTION
I have measured the methane concentration in soil incubations (closed jars with soil in them) over time. To calculate the methane production rate I need to fit a second‐order polynomial regression model to the relationship between methane concentration (ch4_umol) and time (stamp). I would like to make two new columns to my dataset: The value of the regression line slope and the Rsquared value. I would like to calculate these two values for each "jar_camp".
Can anyone help with this? That would be awesome!
Disclaimer: I'm a newbie and I primarily work with tidyverse.
My data looks like this:
...ANSWER
Answered 2020-Jul-28 at 10:02with tidyverse / purrr
:
QUESTION
I have following table in PostgreSQL 11.0
...ANSWER
Answered 2020-Jul-25 at 20:06Just do what the hint told you and move the set returning function into the FROM
clause:
QUESTION
I've tried using a few different methods but just can't seem to figure it out.
Here is my data:
...ANSWER
Answered 2020-Jul-08 at 20:28We could reshape the data into 'long' format, then expand the dataset with complete
(from tidyr
) and use na.approx
on the 'emissions'
QUESTION
Problem
I'm recieving some bizarre behaviour with my MultipleChoiceField
. I'm able to see my list of entries from a CheckboxSelectMultiple
widget in my request.POST
, but when explicitly calling that parameter it returns only my first entry. The form also does not validate an I recieve the error:
ANSWER
Answered 2020-Jul-07 at 09:06The problem stemmed from the inclusion of test_cell
inside the forms meta field.
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