n2o | Node add-on 's ala boost python | SDK library
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Node add-on's ala boost python
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QUESTION
I am trying to add a label (noun) after another label (number) in a bar chart (example below). It works well with normal text (creating a column like Value2 in the example), but if I need a subscript, It doesn't work.
I tried some workarounds with "bquote" and "expression" but didn't figure it out. The idea is to have the numbers in the GHG variable appearing as a subscript in the Figure (CO[2], CH[4] and N[2]O).
Any insights? Simple working example below
...ANSWER
Answered 2021-Aug-22 at 05:46One way would be to use ggtext
package where you can use and
tags.
QUESTION
I created a loop for bootstrapping of repeated measures, picking one random measurement per sampling day. The loop is supposed to run 100 times.
This is how my input data frame looks like:
...ANSWER
Answered 2021-May-27 at 09:52You probable noticed the warning
QUESTION
I have imported ecoinvent 3.7.1 on a brightway project and i followed a few tutorials to understand brightway set up procedures and usage.
I want to use brightway to perform calculations on the inventory data of some processes (in particular i want to sum all emissions to air of CO2, CH4, N2O.
I tried with:
...ANSWER
Answered 2021-May-06 at 07:30you ask several things in the same question, but I will try to answer them.
lets take as an example the query you used. If I run
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 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 dataframe with 2 date columns (year and month) and I would like to merge them into 1 (I will use that column in plotting x-axis).
How can I merge them so values in it will look like "1990-03"
ANSWER
Answered 2020-Nov-21 at 18:02You could use sprintf
to format the month into two digits and paste with the year:
QUESTION
when I try to delete column "Header=" from my data frame:
...ANSWER
Answered 2020-Jul-17 at 15:21Try changing the separator with option sep=","
instead when reading the csv. The problem is you are reading a whole line as a header.
Means your should do:
QUESTION
This is a recurrent issue for me. A part of my dataset:
...ANSWER
Answered 2020-Jun-18 at 09:40I think something like this can do the trick, using group_by
.
QUESTION
ANSWER
Answered 2020-May-15 at 14:46This is possible, but a little tricky as a result of the non-rectangularity of your data. Pandas allows data to be read with multiple levels of columns, but your issue is that your first level of header has cells missing (i.e. 'baseline' does not appear in cell C3.) Pandas will fill these missing cells with an 'Unnamed' column, but won't recognize that these unnamed columns should be 'baseline'.
In order to mitigate this, we'll have to rename the columns levels. Then we'll set the index to be year, and drop this column from all the scenarios:
First, we read the file without setting the index, and without skipping columns:
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