carefree-data | A data processing module | Data Processing library
kandi X-RAY | carefree-data Summary
kandi X-RAY | carefree-data Summary
A data processing module implemented with numpy
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Read data
- Injects the label recognizer
- Read tabularData
- Fit the model
- Split the dataset
- Parse a task type
- Create a TabularDataset from x y data
- Convert input data to task type
- Generate indices for the histogram
- Aggregate a set of indices
- Inject the number of valid samples
- Generate a noisy polygon
- Fetches the training and test sets
- Convert the input into a numpy array
- Recover a flat array
- Create a XOR dataset
- Generate a simple nonlinear dataset
- Return the representation of the token
- Task type
- Creates a new tabular Dataset
- Generate a tabular dataset
- Transform x and y data into a bundle
- Dump the core to a folder
- Create a tabular dataset
- Generate a simple regression dataset
- Recover the given columns
carefree-data Key Features
carefree-data Examples and Code Snippets
Community Discussions
Trending Discussions on Data Processing
QUESTION
I have a series of data processing as below:
- I have two list which contain the data I need.
- I append the lists into a new list. [tableList]
- Convert the list into dataframe and exported it into csv file. [tableDf]
Here's simplified contents of tableList:
...ANSWER
Answered 2022-Mar-23 at 14:41just to provide a convtools based alternative option:
QUESTION
I have a dataframe extracted from a csv file. I want to iterate a data process where only some of the columns's data is the mean of n rows, while the rest of the columns is the first row for each iteration.
For example, the data extracted from the csv consisted of 100 rows and 6 columns. I have a variable n_AVE = 6, which tells the code to average the data per 6 rows.
...ANSWER
Answered 2022-Mar-11 at 05:00You can group the dataframe by the grouper np.arange(len(df)) // 6 which groups the dataframe every six rows, then aggregate the columns using the desired aggregation functions to get the result, optionally reindex along axis=1 to reorder the columns
QUESTION
To generate a csv file where each column is a data of sine wave of frequency 1 Hz, 2 Hz, 3Hz, 4Hz, 5Hz, 6Hz and 7 Hz. The amplitude is one volt. There should be 100 points in one cycle and thus 700 points in seven waves.
...ANSWER
Answered 2022-Mar-03 at 13:45Here is how I will go about it:
QUESTION
I'm trying to train a neural network made with the Keras Functional API with one of the default TFDS Datasets, but I keep getting dataset related errors.
The idea is doing a model for object detection, but for the first draft I was trying to do just plain image classification (img, label). The input would be (256x256x3) images. The input layer is as follows:
...ANSWER
Answered 2022-Mar-02 at 07:54I think the problem is that each image can belong to multiple classes, so I would recommend one-hot encoding the labels. It should then work. Here is an example:
QUESTION
I have a pandas dataframe that contains only one column which contains a string. I want to apply a function to each row that will split the string by sentence and replace that row with rows generated from the function.
Example dataframe:
...ANSWER
Answered 2022-Feb-15 at 20:32Convert all your strings to a 'flat' list, and build a new DataFrame or Series of that.
QUESTION
I want to achieve this specific task, I have 2 files, the first one with emails and credentials:
...ANSWER
Answered 2021-Nov-16 at 18:02The duplication issue comes from the fact that you are reading two files in a nested way, once a line from the test.txt is read, you open the location.txt file for reading and process it. Then, you read the second line from test.txt, and re-open the location.txt and process it again.
Instead, get all the necessary data from the location.txt, say, into a dictionary, and then use it while reading the test.txt:
QUESTION
In order to create PlaceKey for addresses to link some of my tables, I need to split an address column in SnowFlake.
I am not familiar with JavaScript, but I tried Javascript UDF in SnowFlake. Then I don't know how to deal with the addresses like '123_45ThSt'.
The output of my function is like '123_45 Th St'. I am stuck here.
The expected output is '123 45Th St'. Hope someone could help me out. Much appreciated!
Below is another example and my SnowFlake SQL code:
...ANSWER
Answered 2021-Oct-03 at 22:38Assuming the format of street address, which includes number + word (ends with lower case or number) + word (start with upper case), I have below solution:
QUESTION
I have a sample of the dataframe as given below.
...ANSWER
Answered 2021-Aug-26 at 17:47Try:
QUESTION
I have two dataframes from which a new dataframe has to be created. The first one is given below.
...ANSWER
Answered 2021-Aug-25 at 21:23You can use .merge + boolean-indexing:
QUESTION
I try to open a file with openpyxl but only get the error:
raise BadZipFile("File is not a zip file") zipfile.BadZipFile: File is not a zip file
A simple code example:
...ANSWER
Answered 2021-Aug-07 at 21:20The excel files were in read-only mode. I saved the file as a new file and load_workbook worked.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install carefree-data
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
