citric | LimeSurvey Remote Control API 2 , written in modern Python | REST library
kandi X-RAY | citric Summary
kandi X-RAY | citric Summary
A client to the LimeSurvey Remote Control API 2, written in modern Python.
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- Generic RPC method
- Invoke an RPC method
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citric Examples and Code Snippets
Lines of Code : 23License : Permissive (MIT)
Copyimport base64
import io
import boto3
from citric import Client
s3 = boto3.client("s3")
with Client(
"https://mylimeserver.com/index.php/admin/remotecontrol",
"iamadmin",
"secret",
) as client:
survey_id = 12345
files = client.g import requests_cache
cached_session = requests_cache.CachedSession(
expire_after=3600,
allowable_methods=["POST"],
)
with Client(
LS_URL,
"iamadmin",
"secret",
requests_session=cached_session,
) as client:
# Get all su from citric import Client
LS_URL = "http://localhost:8001/index.php/admin/remotecontrol"
with Client(LS_URL, "iamadmin", "secret") as client:
# Get all surveys from user "iamadmin"
surveys = client.list_surveys("iamadmin")
for s in sur fruit = r'\b' + fruits['Name'] + r'\b'
fruit_replacement = list(fruits['Color'] + ' ' + fruits['Name'])
mapping = pd.Series(fruit_replacement, index=fruit)
sentence['Result'] = sentence['Sentence'].replace(mapping, regex=True)
def compare(name, color):
print(name, color)
sentence_df['Result'] = sentence_df['Sentence'].apply(lambda x: search(x, name, color))
print(sentence_df['Result'])
Apple Red
0 I like Red Apple, Mango, #to see all columns
df.columns
#Selecting one column
df['column_name']
#Selecting multiple columns
df[['column_one', 'column_two','column_four', 'column_seven']]
file1['WineType'] = file1['WineType'].astype(str)
file2['WineType'] = file2['WineType'].astype(str)
merged_df = file1.merge(file1, file2, on="WineType")
for f, (t_,v_) in enumerate(kf.split(X=df, y=y)):
df_train = df.loc[t_]
df_test = df.loc[v_]
labels = [i.replace(" ", "_") for i in labels]
df.columns = df.columns.str.replace(' ', '_')
df.rename(columns=lambda x: x.replace(' ', '_'), inplace=True)
Community Discussions
Trending Discussions on citric
QUESTION
I have the following data which I wish to Pivot to produce the table on the right. (Note this data has been manually entered and it's possible there are errors)
I'm unsure if Pivoting is the right way to go about this but it would achieve the desired effect if I only had one column.
The source data has already had a series of transformations applied to simplify to this stage however I am now studying trying to achieve the table on the right.
I appreciate I could create a series of custom columns by I would like this table to work dynamically such that if a user were to create a different Dose Descriptor a new column would dynamically be generated. For simplicity again I have only used NOAEL, DNEL and ADI as the dose descriptors but others e.g. TUL exist.
I will update any progress I make here but unfortunately have only got confused trying to do this.
Data:
CAS Number
...ANSWER
Answered 2022-Mar-24 at 20:59Load data into powerquery using data ... from table/range [x]headers
Click select the first 4 columns, right click, unpivot other columns
Add column ... custom column ... with formula
QUESTION
I have the dataframe below:
...ANSWER
Answered 2022-Mar-13 at 23:22One option would be to aggregate your data before plotting:
QUESTION
I'm creating a spreadsheet for developing new cocktails and cocktail ingredients for bars to generate loads of info quickly.
I have made a script based on Anthony Grant's here using switch case to help with calculating the pH of any given solution that picks up the plain English text in the ingredients column that returns the concentration of that substance. For example, the word "Citric" returns the numeric value 192.124 (as that is the molecular weight of citric acid) and so forth depending on the acid. It works great and fits in perfectly. From there I can calculate pH. like this:
...ANSWER
Answered 2022-Jan-20 at 17:14Change the variable to a unique name on your second function. Such as:
QUESTION
I’m currently building a D3 Sunburst Vue component and I’m using the npm package vue-d3-sunburst for that. The documentation for the package can be found here:
https://www.npmjs.com/package/vue-d3-sunburst
The documentation says there is a get-category-for-color function which is used to map an item and its color like this:
(nodeD3: Object) => category: Number | String By default use the node name
I’m completely having a moment here and just can’t figure out how to get the color value of each node applied to each path and I'm wondering if anybody can help?
...ANSWER
Answered 2021-Nov-24 at 09:31I'm not incredibly familiar with Vue, but I'm pretty sure the problem is as follows:
Instead of calling the function in the HTML, you need to pass it as a property. The difference is that if you add the brackets, the result of the function will be passed to VueJS, not the function itself. Then, you'll be able to access the arguments of the function just the way you'd expect.
EDIT
The name getCategoryForColor should have tipped me off, but what happens is actually not what you expect. The getCategoryForColor function expects to receive any string or value that represents that "category" to which the cell belongs. Those categories are then mapped to a colorScale function which makes sure a valid color is generated for every category, and that elements with the same category get the same value.
You actually jumped the gun a little on that bit, because you already specified what the color should be! So in order to fix that part, I also overwrote the color scheme to simply return whatever it was passed. Now, the correct colors are applied.
QUESTION
I am working on an assignment where I have to evaluate the predictive model based on RMSE (Root Mean Squared Error) using the test data. I have already built a linear regression model to predict wine quality (numeric) using all available predictor variables based on the train data. Below is my current code. The full error is "Error: Problem with mutate() column regression1.
i regression1 = predict(regression1, newdata = my_type_test).
x no applicable method for 'predict' applied to an object of class "c('double', 'numeric')"
ANSWER
Answered 2021-Nov-13 at 03:36Many of the steps you take are probably unnecessary.
A minimal example that should achieve the same thing:
QUESTION
I have a fruits dataframe with columns: (Name, Color) and a sentence dataframe with columns: (Sentence).
fruits dataframe
...ANSWER
Answered 2021-Mar-08 at 16:33The problem is that you call compare for each row of Fruit but use the same input on each pass.
I have just added some debugging prints to the compare function to understand what happens:
QUESTION
I'm trying to create a lm function with a certain response value and a dataset
...ANSWER
Answered 2020-Dec-15 at 12:36If you construct a formula, R will know to exclude the response variable.
QUESTION
I am trying to get the first column of dataset to calculate the summary of the data such as mean, median, variance, stdev etc...
This is how I read my csv file
...ANSWER
Answered 2020-Dec-05 at 06:06You can try this:
QUESTION
I'm using pandas to load data from txt file. Can someone tell me what is wrong with my code?
...ANSWER
Answered 2020-Nov-28 at 11:50If you have a numpy array, you need to specify mean with axis=0 , otherwise it takes the grand mean of the whole array:
QUESTION
I'm trying to understand how to make a confusion matrix after I use the glm function for a logistic regression. Here is my code so far. I am using the caret package and the confusionMatrix function.
...ANSWER
Answered 2020-Nov-18 at 12:04The error from confusionMatrix() tells us that the two variables passed to the function need to be factors with the same values. We can see why we received the error when we run str() on both variables.
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