DataProfiler | What 's in your data | Dataset library

 by   capitalone Python Version: 0.9.0 License: Apache-2.0

kandi X-RAY | DataProfiler Summary

kandi X-RAY | DataProfiler Summary

DataProfiler is a Python library typically used in Artificial Intelligence, Dataset, Pandas applications. DataProfiler has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

In the case of this library, a data profile is a dictionary containing statistics and predictions about the underlying dataset. There are "global statistics" or global_stats, which contain dataset level data and there are "column/row level statistics" or data_stats (each column is a new key-value entry).
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            kandi-support Support

              DataProfiler has a medium active ecosystem.
              It has 1204 star(s) with 115 fork(s). There are 23 watchers for this library.
              There were 7 major release(s) in the last 12 months.
              There are 48 open issues and 97 have been closed. On average issues are closed in 71 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of DataProfiler is 0.9.0

            kandi-Quality Quality

              DataProfiler has 0 bugs and 0 code smells.

            kandi-Security Security

              DataProfiler has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              DataProfiler code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              DataProfiler is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              DataProfiler releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 26182 lines of code, 1473 functions and 124 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed DataProfiler and discovered the below as its top functions. This is intended to give you an instant insight into DataProfiler implemented functionality, and help decide if they suit your requirements.
            • Update the profile from a chunk of data
            • Clean data from a pandas dataframe
            • Divide data into chunks of data
            • Get results
            • Fit the model
            • Checks the pipeline
            • Validate and return data format
            • Set labels
            • Plot histograms
            • Convert json data into a dataframe
            • Return the median absolute deviation
            • Train a structuredDataFrame
            • Update the profile from the given data
            • Calculate the precision of the DataFrame
            • Validate parameters
            • Returns the diff between two graphs
            • Load data from a file
            • Check if the file matches a match
            • Calculate the precision of the data
            • Add a label to the label
            • Compute the difference between two profiles
            • Update the word count
            • Decorator to require a module
            • Merge a list of profiles into a single profile
            • Return a profile dict
            • Saves the matrix to a file
            Get all kandi verified functions for this library.

            DataProfiler Key Features

            No Key Features are available at this moment for DataProfiler.

            DataProfiler Examples and Code Snippets

            default
            C#dot img1Lines of Code : 59dot img1License : Permissive (Apache-2.0)
            copy iconCopy
            dp
            
            Data Profiler 0.1.0.0
            Copyright 2013-2018 Dale Newman
            
              -s, --server             (Default: localhost) The server's name or ip address.
            
              -d, --database           (Default: ) The database name.
            
              -o, --schema owner       (Default: ) The schema   
            Usage with File Piped to CSV and use Excel
            C#dot img2Lines of Code : 1dot img2License : Permissive (Apache-2.0)
            copy iconCopy
            dp -fc:\temp\Data\ff\years_2013_fantasy_fantasy.csv > output.csv && excel output.csv  
            Gets the util Timestamp .
            javadot img3Lines of Code : 3dot img3License : Permissive (MIT License)
            copy iconCopy
            public java.util.Date getUtilTimestamp() {
                    return utilTimestamp;
                }  
            The util Timestamp .
            javadot img4Lines of Code : 3dot img4License : Permissive (MIT License)
            copy iconCopy
            public void setUtilTimestamp(java.util.Date utilTimestamp) {
                    this.utilTimestamp = utilTimestamp;
                }  
            The java . util . util . util . Date
            javadot img5Lines of Code : 3dot img5License : Permissive (MIT License)
            copy iconCopy
            public void setUtilTime(java.util.Date utilTime) {
                    this.utilTime = utilTime;
                }  

            Community Discussions

            QUESTION

            Replacing dataframe value given multiple condition from another dataframe with R
            Asked 2022-Apr-14 at 16:16

            I have two dataframes one with the dates (converted in months) of multiple survey replicates for a given grid cell and the other one with snow data for each month for the same grid cell, they have a matching ID column to identify the cells. What I would like to do is to replace in the first dataframe, the one with months of survey replicates, the month value with the snow value for that month considering the grid cell ID. Thank you

            ...

            ANSWER

            Answered 2022-Apr-14 at 14:50
            df3 <- df1
            df3[!is.na(df1)] <- df2[!is.na(df1)]
            #   CellID sampl1 sampl2 sampl3
            # 1      1    0.1    0.4    0.6
            # 2      2    0.1    0.5    0.7
            # 3      3    0.1    0.4    0.8
            # 4      4    0.1      
            # 5      5         
            # 6      6         
            

            Source https://stackoverflow.com/questions/71873315

            QUESTION

            Does Hub support integrations for MinIO, AWS, and GCP? If so, how does it work?
            Asked 2022-Mar-19 at 16:28

            I was taking a look at Hub—the dataset format for AI—and noticed that hub integrates with GCP and AWS. I was wondering if it also supported integrations with MinIO.

            I know that Hub allows you to directly stream datasets from cloud storage to ML workflows but I’m not sure which ML workflows it integrates with.

            I would like to use MinIO over S3 since my team has a self-hosted MinIO instance (aka it's free).

            ...

            ANSWER

            Answered 2022-Mar-19 at 16:28

            Hub allows you to load data from anywhere. Hub works locally, on Google Cloud, MinIO, AWS as well as Activeloop storage (no servers needed!). So, it allows you to load data and directly stream datasets from cloud storage to ML workflows.

            You can find more information about storage authentication in the Hub docs.

            Then, Hub allows you to stream data to PyTorch or TensorFlow with simple dataset integrations as if the data were local since you can connect Hub datasets to ML frameworks.

            Source https://stackoverflow.com/questions/71539946

            QUESTION

            Custom Sampler correct use in Pytorch
            Asked 2022-Mar-17 at 19:22

            I have a map-stype dataset, which is used for instance segmentation tasks. The dataset is very imbalanced, in the sense that some images have only 10 objects while others have up to 1200.

            How can I limit the number of objects per batch?

            A minimal reproducible example is:

            ...

            ANSWER

            Answered 2022-Mar-17 at 19:22

            If what you are trying to solve really is:

            Source https://stackoverflow.com/questions/71500629

            QUESTION

            C++ what is the best sorting container and approach for large datasets (millions of lines)
            Asked 2022-Mar-08 at 11:24

            I'm tackling a exercise which is supposed to exactly benchmark the time complexity of such code.

            The data I'm handling is made up of pairs of strings like this hbFvMF,PZLmRb, each string is present two times in the dataset, once on position 1 and once on position 2 . so the first string would point to zvEcqe,hbFvMF for example and the list goes on....

            example dataset of 50k pairs

            I've been able to produce code which doesn't have much problem sorting these datasets up to 50k pairs, where it takes about 4-5 minutes. 10k gets sorted in a matter of seconds.

            The problem is that my code is supposed to handle datasets of up to 5 million pairs. So I'm trying to see what more I can do. I will post my two best attempts, initial one with vectors, which I thought I could upgrade by replacing vector with unsorted_map because of the better time complexity when searching, but to my surprise, there was almost no difference between the two containers when I tested it. I'm not sure if my approach to the problem or the containers I'm choosing are causing the steep sorting times...

            Attempt with vectors:

            ...

            ANSWER

            Answered 2022-Feb-22 at 07:13

            You can use a trie data structure, here's a paper that explains an algorithm to do that: https://people.eng.unimelb.edu.au/jzobel/fulltext/acsc03sz.pdf

            But you have to implement the trie from scratch because as far as I know there is no default trie implementation in c++.

            Source https://stackoverflow.com/questions/71215478

            QUESTION

            How to create a dataset for tensorflow from a txt file containing paths and labels?
            Asked 2022-Feb-09 at 08:09

            I'm trying to load the DomainNet dataset into a tensorflow dataset. Each of the domains contain two .txt files for the training and test data respectively, which is structured as follows:

            ...

            ANSWER

            Answered 2022-Feb-09 at 08:09

            You can use tf.data.TextLineDataset to load and process multiple txt files at a time:

            Source https://stackoverflow.com/questions/71045309

            QUESTION

            Converting 0-1 values in dataset with the name of the column if the value of the cell is 1
            Asked 2022-Feb-02 at 07:02

            I have a csv dataset with the values 0-1 for the features of the elements. I want to iterate each cell and replace the values 1 with the name of its column. There are more than 500 thousand rows and 200 columns and, because the table is exported from another annotation tool which I update often, I want to find a way in Python to do it automatically. This is not the table, but a sample test which I was using while trying to write a code I tried some, but without success. I would really appreciate it if you can share your knowledge with me. It will be a huge help. The final result I want to have is of the type: (abonojnë, token_pos_verb). If you know any method that I can do this in Excel without the help of Python, it would be even better. Thank you, Brikena

            ...

            ANSWER

            Answered 2022-Jan-31 at 10:08

            Using pandas, this is quite easy:

            Source https://stackoverflow.com/questions/70923533

            QUESTION

            How can i get person class and segmentation from MSCOCO dataset?
            Asked 2022-Jan-06 at 05:04

            I want to download only person class and binary segmentation from COCO dataset. How can I do it?

            ...

            ANSWER

            Answered 2022-Jan-06 at 05:04

            QUESTION

            R - If column contains a string from vector, append flag into another column
            Asked 2021-Dec-16 at 23:33
            My Data

            I have a vector of words, like the below. This is an oversimplification, my real vector is over 600 words:

            ...

            ANSWER

            Answered 2021-Dec-16 at 23:33

            Update: If a list is preferred: Using str_extract_all:

            Source https://stackoverflow.com/questions/70386370

            QUESTION

            How to divide a large image dataset into groups of pictures and save them inside subfolders using python?
            Asked 2021-Dec-08 at 15:13

            I have an image dataset that looks like this: Dataset

            The timestep of each image is 15 minutes (as you can see, the timestamp is in the filename).

            Now I would like to group those images in 3hrs long sequences and save those sequences inside subfolders that would contain respectively 12 images(=3hrs). The result would ideally look like this: Sequences

            I have tried using os.walk and loop inside the folder where the image dataset is saved, then I created a dataframe using pandas because I thought I could handle the files more easily but I think I am totally off target here.

            ...

            ANSWER

            Answered 2021-Dec-08 at 15:10

            The timestep of each image is 15 minutes (as you can see, the timestamp is in the filename).

            Now I would like to group those images in 3hrs long sequences and save those sequences inside subfolders that would contain respectively 12 images(=3hrs)

            I suggest exploiting datetime built-in libary to get desired result, for each file you have

            1. get substring which is holding timestamp
            2. parse it into datetime.datetime instance using datetime.datetime.strptime
            3. convert said instance into seconds since epoch using .timestamp method
            4. compute number of seconds integer division (//) 10800 (number of seconds inside 3hr)
            5. convert value you got into str and use it as target subfolder name

            Source https://stackoverflow.com/questions/70276989

            QUESTION

            Proper way of cleaning csv file
            Asked 2021-Nov-15 at 22:58

            I've got a huge CSV file, which looks like this:

            ...

            ANSWER

            Answered 2021-Nov-15 at 21:33

            You can use a regular expression for this:

            Source https://stackoverflow.com/questions/69981109

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install DataProfiler

            To install the full package from pypi: pip install DataProfiler[full]. If you want to install the ml dependencies without generating reports use DataProfiler[ml]. If the ML requirements are too strict (say, you don't want to install tensorflow), you can install a slimmer package with DataProfiler[reports]. The slimmer package disables the default sensitive data detection / entity recognition (labler). Install from pypi: pip install DataProfiler.

            Support

            Any delimited file (CSV, TSV, etc.)JSON objectAvro fileParquet fileText filePandas DataFrameA URL that points to one of the supported file types above
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