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Explore all Data Manipulation open source software, libraries, packages, source code, cloud functions and APIs.

Popular New Releases in Data Manipulation

numpy

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this is related to UI Test tools.

Gr1

this is GR1

OpenCV (Open Source Computer Vision Library) is an open-source and machine-learning software library. OpenCV is a computer vision library written in C++ and widely used for image and video processing. OpenCV provides a vast array of image and video processing functions that can be used in various domains such as:


  • Object detection and recognition
  • Image and video segmentation
  • Face and feature detection
  • Object tracking
  • Image restoration and enhancement
  • Stereoscopic vision
  • Motion analysis and object tracking
  • 3D reconstruction


BGR and YCbCr are color spaces used in digital image processing.


BGR stands for Blue, Green, Red, and is an encoding of the RGB (Red, Green, Blue) color space. BGR is used in computer vision and image processing applications and is the default color format for the OpenCV library in Python.


YCbCr, on the other hand, stands for Luma (Y) and Chrominance (Cb, Cr), and is a color space used in digital video processing. YCbCr separates the brightness information (luma) from the color information (chroma), which allows for more efficient compression. YCbCr is used in many image and video compression standards, such as JPEG and MPEG. In summary, BGR is used in computer vision and image processing, while YCbCr is used in video processing and compression.


In this solution, we are going to learn how to convert BGR image to YcbCr using opencv.

Preview of the output that you will get on running this code from your IDE


CODE

In this solution we use the Imread function of the OpenCV.


  1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  2. Import open Cv library and numpy library
  3. Modify the name, and location of the image in the code.
  4. Run the file to get the Output


I hope you found this useful. I have added the link to dependent libraries, and version information in the following sections.


i found this code snippet by searching for "OpenCV Python converting color-space image to YCbCr" in kandi. You can try any such use case!


Note:-


If the user wants to Display the output use this command

cv2.imshow('after', YCrbCrImage)

cv2.waitkey(0)

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions


  1. The solution is created and executed in python version 3.7.15 .
  2. The solution is tested on OpenCV 4.6.0
  3. The solution is tested on numpy 1.21.6


Using this solution, we are going to convert BGR image to YCBCR using the OpenCv library in Python with simple steps. This process also facilities an easy-to-use, hassle-free method to create a hands-on working version of code which would help us convert BGR to YCBCR in Python

Dependent Library

If you do not have OpenCV and numpy that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the OpenCV page in kandi.

You can search for any dependent library on kandi like OpenCV and numpy

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.

OpenCV is a computer vision library written in C++ and widely used for image and video processing. It offers a range of features for working with photographs and movies, including the ability to load and save images, use filters, find edges, and find and track objects. In collaboration, applications involving image and video processing are frequently created using Python and OpenCV. This combination enables you to develop solid and adaptable programs that can address various computer vision issues.  


In our work as developers, we frequently must read and rotate the photos in our applications to complete various image processing activities, such as recognition, upload, augmentation, training, and many more. There are numerous libraries for Python that enable working with images. Python has features for manipulating, enhancing, and creating more images. In addition to using additional OpenCV functions to apply other transformations to the image, such as scaling, cropping, and applying filters, you can modify the angle of rotation and the image's size to get the desired effect.  


Here is an example of how we can draw a line beyond the second point using opencv


Preview of the output that you will get on running this code from your IDE

CODE

In this solution we use the numpy and open cv library

  1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  2. Import open Cv library and Numpy library.
  3. Modify the name and Length of the points.
  4. Run the file to draw a line.


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


ifound this code snippet by searching for "Draw a line in open cv and python beyond given points" in kandi. You can try any such use case!

Dependent Library

If you do not have OpenCV and numpy that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the OpenCV page in kandi.

You can search for any dependent library on kandi like OpenCV and numpy

Environment Test

I tested this solution in the following versions. Be mindful of changes when working with other versions


  1. The solution is created and executed in python version 3.7.15 .
  2. The solution is tested on OpenCV 4.6.0 version
  3. The solution is tested on numpy 1.21.6


Using this solution, we are going to draw a line beyond the second given point using the OpenCv library and numpy library in Python with simple steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us draw a image in Python

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.


In Python, the "where" condition is used in conjunction with Boolean indexing to filter the elements of an array, list, or DataFrame based on a specific condition. The condition is specified as a Boolean expression, and the elements that satisfy the condition are kept while the elements that do not are removed. 


You can fetch the value of a particular column with a WHERE condition using a “SQL SELECT” statement. 

  • SQL SELECT: Using the SQL SELECT command, you may query a database and get specified data from one or more of its tables. 

In the WHERE clause, you may also include several criteria by using logical operators like "AND," "OR," etc.  

  • AND: In a WHERE clause, several criteria can be combined using the SQL AND statement. When all criteria are true, rows from a table are returned using the AND statement. 
  • OR: In a WHERE clause, multiple conditions can be combined using the SQL OR statement. When at least one of the requirements is true, the OR statement is used to get rows from a table. 


For better knowledge of fetching the value of a particular column with where condition, you may have a look at the code below. 

Fig : Preview of the output that you will get on running this code from your IDE.

Code

In this solution we're using Pandas and NumPy libraries.

Instructions

Follow the steps carefully to get the output easily.

  1. Install pandas on your IDE(Any of your favorite IDE).
  2. Copy the snippet using the 'copy' and paste it in your IDE.
  3. Add required dependencies and import them in Python file.
  4. Run the file to generate the output.


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


I found this code snippet by searching for 'How to fetch value of particular column with where condition in pandas' in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

  1. The solution is created in PyCharm 2021.3.
  2. The solution is tested on Python 3.9.7.
  3. Pandas version-v1.5.2.
  4. NumPy version-v1.24.0.


Using this solution, we are able to fetch value of particular column with where condition in pandas with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to fetch value of particular column with where condition in pandas.

Dependent Libraries

You can also search for any dependent libraries on kandi like 'pandas' and 'numpy'.

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.


We will locate a specific group of words in a text using the SpaCy library, then replace those words with an empty string to remove them from the text.  


Using SpaCy, it is possible to exclude words within a specific span from a text in the following ways:  

  • Text pre-processing: Removing specific words or phrases from text can be a useful step in pre-processing text data for NLP tasks such as text classification, sentiment analysis, and language translation.  
  • Document summarization: Maintaining only the most crucial information, specific words or phrases will serve to construct a summary of a lengthy text.  
  • Data cleaning: Anonymization and data cleaning can both benefit from removing sensitive or useless text information, such as names and addresses.  
  • Text generation: Adding context or meaning to the generated content might help create new text by deleting specific words or phrases.  
  • Text augmentation: Text can be used for text augmentation techniques in NLP by removing specific words or phrases and replacing them with new text variations.  


Here is how you can remove words in span using SpaCy:  

Preview of the output that you will get on running this code from your IDE

Code

In this solution we have used spacy library of python

  1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  2. Enter the Text
  3. Run the code that Remove Specific words in the text


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


I found this code snippet by searching for "Remove words in span from spacy" in kandi. You can try any such use case!


Note


In this snippet we are using a Language model (en_core_web_sm)

  1. Download the model using the command python -m spacy download en_core_web_sm .
  2. paste it in your terminal and download it.


Check the user's spacy version using pip show spacy command in users terminal.

  1. if its version 3.0, you will need to load it using nlp = spacy.load("en_core_web_sm")
  2. if its version is less than 3.0 you will need to load it using nlp = spacy.load("en")

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.


  1. The solution is created in Python 3.7.15 Version
  2. The solution is tested on Spacy 3.4.3 Version


Using this solution, we can collect nouns that ends with s-t-l with the help of function in spacy . This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us use full stop whenever the user needs in the sentence in python.

Dependent Library

If you do not have SpaCy and numpy that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the Spacy page in kandi.

You can search for any dependent library on kandi like SpaCy and numpy

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page

SpaCy is an open-source software library for advanced natural language processing. It assists you in creating programs that process and "understand" massive amounts of text because it was created expressly for use in production environments. The quick and effective tokenization offered by spaCy is one of its main advantages. SpaCy is frequently used for tasks including information extraction, machine translation, named entity recognition, part-of-speech tagging, and text summarization in business, academia, and government research projects. 


Additionally, spaCy offers tools for standard tasks like text classification, language recognition, working with word vectors and similarity, and more. You can use spaCy's tokenizer to remove certain types of tokens from a text. You may use SpaCy in a few ways to get rid of tokens in text, including symbols, punctuation, and numerals. Some examples include: 

  • Eliminating common stop words: SpaCy has a built-in list of terms you can eliminate from your writing, like "and," "or," and "the." 
  • Eliminating punctuation: You may verify whether a token is a punctuation using the spacy.tokens.token.is punct property and then deletes it from the text. 
  • Removing numbers: To determine whether a token is a number and to delete it from the text, use the spacy.tokens.token.like num property. 
  • Removing symbols: To determine whether a token is a symbol or not and to delete it from the text, use the spacy.tokens.token.isalpha and spacy.tokens.token.is digit properties. 


Here is how you can remove tokens like symbols, punctuation, and numbers in SpaCy:

Preview of the output that you will get on running this code from your IDE

Code

In this solution we use the Attributes method of the SpaCy library.

  1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  2. Enter the Text
  3. Run the file to annihilate symbols ,numbers and punctuation


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


I found this code snippet by searching for "How to filter tokens from spacy Document " in kandi. You can try any such use case!


Note


In this snippet we are using a Language model (en_core_web_sm)

  1. Download the model using the command python -m spacy download en_core_web_sm .
  2. paste it in your terminal and download it.


Check the user's spacy version using pip show spacy command in users terminal.

  1. if its version 3.0 or above you will need to load it using nlp = spacy.load("en_core_web_sm")
  2. if its version is less than 3.0 you will need to load it using nlp = spacy.load("en")

Environment Test

I tested this solution in the following versions. Be mindful of changes when working with other versions.


  1. The solution is created in Python 3.7.15. Version
  2. The solution is tested on Spacy 3.4.3 Version
  3. The solution is tested on numpy 1.21.6 Version


Using this solution, we can able to delete or remove symbols ,punctuation, numbers using python with the help of Spacy library. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us remove the token in python.

Dependent Library

If you do not have SpaCy and numpy that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the Spacy page in kandi.

You can search for any dependent library on kandi like Spacy and numpy

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.

Pandas DataFrame can be created from the lists, dictionary, and from a list of dictionary etc. In this solution we are going to Create a DataFrame (df) based on unique index. Python consist of Numerous numbers of Library that help the developer to develop the code. In that there is a specific library that helps to machine learning tasks , Data analysis . In this solution kit, I am sharing the code snippet and library that create the Data frame with unique Index in Python which can be executed directly in the IDE.


Preview of the output that you will get on running this code.

Code

In this solution we have used append() function of python.

  1. Copy this code using "Copy" button above and paste it in your Python ide
  2. Import Pandas and Numpy library of python.
  3. Run the code to get a unique index.


I hope you have found this useful. I have added the dependent library and version information in the following section.


I found this code snippet by searching "Create pandas dataFrame with unique index" in kandi. you can try any use case.

Dependent Library

If you do not have Pandas that is required to run this code you can install it by clicking on th above link and copying the pip install command from the pandas page in Kandi. You can search for any dependent library in Kandi like Pandas.

Environment Test

In this solution we have used the following versions. Be mindful to change when working with other versions.


  1. This solution is created using Python version 3.7.15
  2. This solution is Tested using Pandas 1.5.2


Using this solution we can able to Create a dataframe with a unique Index using Pandas library in python with simple Steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us create a Dataframe with unique Index in Python.

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.

In this solution we are going to get the size of each sublist and neglect empty and single elements using length function len() in python.

Preview of the output that you will get on running this code.

Code

In this solution we have used Len() function in python.

  1. Copy this code using "Copy" button above and paste it in your Python ide
  2. Run the code, get the size of each sublist and neglect empty and single elements


I hope you have found this useful. I have added the version information in the following section.


I found this code snippet by searching "Python find size of each sublist in a list" in kandi. you can try any use case.

Dependent Library

If you do not have numpy that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the numpy page in kandi.

You can search for any dependent library on kandi like numpy

Environment Test

In this solution we have used the following versions. Be mindful to change when working with other versions.


  • This solution is created using Python version 3.7.15


Using this solution we can able to get the size of each sublist and neglect empty and single elements in python with simple Steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us to get size of each sub-list in Python.

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.


this is related to UI Test tools.

Gr1

this is GR1

OpenCV (Open Source Computer Vision Library) is an open-source and machine-learning software library. OpenCV is a computer vision library written in C++ and widely used for image and video processing. OpenCV provides a vast array of image and video processing functions that can be used in various domains such as:


  • Object detection and recognition
  • Image and video segmentation
  • Face and feature detection
  • Object tracking
  • Image restoration and enhancement
  • Stereoscopic vision
  • Motion analysis and object tracking
  • 3D reconstruction


BGR and YCbCr are color spaces used in digital image processing.


BGR stands for Blue, Green, Red, and is an encoding of the RGB (Red, Green, Blue) color space. BGR is used in computer vision and image processing applications and is the default color format for the OpenCV library in Python.


YCbCr, on the other hand, stands for Luma (Y) and Chrominance (Cb, Cr), and is a color space used in digital video processing. YCbCr separates the brightness information (luma) from the color information (chroma), which allows for more efficient compression. YCbCr is used in many image and video compression standards, such as JPEG and MPEG. In summary, BGR is used in computer vision and image processing, while YCbCr is used in video processing and compression.


In this solution, we are going to learn how to convert BGR image to YcbCr using opencv.

Preview of the output that you will get on running this code from your IDE


CODE

In this solution we use the Imread function of the OpenCV.


  1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  2. Import open Cv library and numpy library
  3. Modify the name, and location of the image in the code.
  4. Run the file to get the Output


I hope you found this useful. I have added the link to dependent libraries, and version information in the following sections.


i found this code snippet by searching for "OpenCV Python converting color-space image to YCbCr" in kandi. You can try any such use case!


Note:-


If the user wants to Display the output use this command

cv2.imshow('after', YCrbCrImage)

cv2.waitkey(0)

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions


  1. The solution is created and executed in python version 3.7.15 .
  2. The solution is tested on OpenCV 4.6.0
  3. The solution is tested on numpy 1.21.6


Using this solution, we are going to convert BGR image to YCBCR using the OpenCv library in Python with simple steps. This process also facilities an easy-to-use, hassle-free method to create a hands-on working version of code which would help us convert BGR to YCBCR in Python

Dependent Library

If you do not have OpenCV and numpy that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the OpenCV page in kandi.

You can search for any dependent library on kandi like OpenCV and numpy

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.

OpenCV is a computer vision library written in C++ and widely used for image and video processing. It offers a range of features for working with photographs and movies, including the ability to load and save images, use filters, find edges, and find and track objects. In collaboration, applications involving image and video processing are frequently created using Python and OpenCV. This combination enables you to develop solid and adaptable programs that can address various computer vision issues.  


In our work as developers, we frequently must read and rotate the photos in our applications to complete various image processing activities, such as recognition, upload, augmentation, training, and many more. There are numerous libraries for Python that enable working with images. Python has features for manipulating, enhancing, and creating more images. In addition to using additional OpenCV functions to apply other transformations to the image, such as scaling, cropping, and applying filters, you can modify the angle of rotation and the image's size to get the desired effect.  


Here is an example of how we can draw a line beyond the second point using opencv


Preview of the output that you will get on running this code from your IDE

CODE

In this solution we use the numpy and open cv library

  1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  2. Import open Cv library and Numpy library.
  3. Modify the name and Length of the points.
  4. Run the file to draw a line.


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


ifound this code snippet by searching for "Draw a line in open cv and python beyond given points" in kandi. You can try any such use case!

Dependent Library

If you do not have OpenCV and numpy that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the OpenCV page in kandi.

You can search for any dependent library on kandi like OpenCV and numpy

Environment Test

I tested this solution in the following versions. Be mindful of changes when working with other versions


  1. The solution is created and executed in python version 3.7.15 .
  2. The solution is tested on OpenCV 4.6.0 version
  3. The solution is tested on numpy 1.21.6


Using this solution, we are going to draw a line beyond the second given point using the OpenCv library and numpy library in Python with simple steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us draw a image in Python

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.


In Python, the "where" condition is used in conjunction with Boolean indexing to filter the elements of an array, list, or DataFrame based on a specific condition. The condition is specified as a Boolean expression, and the elements that satisfy the condition are kept while the elements that do not are removed. 


You can fetch the value of a particular column with a WHERE condition using a “SQL SELECT” statement. 

  • SQL SELECT: Using the SQL SELECT command, you may query a database and get specified data from one or more of its tables. 

In the WHERE clause, you may also include several criteria by using logical operators like "AND," "OR," etc.  

  • AND: In a WHERE clause, several criteria can be combined using the SQL AND statement. When all criteria are true, rows from a table are returned using the AND statement. 
  • OR: In a WHERE clause, multiple conditions can be combined using the SQL OR statement. When at least one of the requirements is true, the OR statement is used to get rows from a table. 


For better knowledge of fetching the value of a particular column with where condition, you may have a look at the code below. 

Fig : Preview of the output that you will get on running this code from your IDE.

Code

In this solution we're using Pandas and NumPy libraries.

Instructions

Follow the steps carefully to get the output easily.

  1. Install pandas on your IDE(Any of your favorite IDE).
  2. Copy the snippet using the 'copy' and paste it in your IDE.
  3. Add required dependencies and import them in Python file.
  4. Run the file to generate the output.


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


I found this code snippet by searching for 'How to fetch value of particular column with where condition in pandas' in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

  1. The solution is created in PyCharm 2021.3.
  2. The solution is tested on Python 3.9.7.
  3. Pandas version-v1.5.2.
  4. NumPy version-v1.24.0.


Using this solution, we are able to fetch value of particular column with where condition in pandas with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to fetch value of particular column with where condition in pandas.

Dependent Libraries

You can also search for any dependent libraries on kandi like 'pandas' and 'numpy'.

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.


We will locate a specific group of words in a text using the SpaCy library, then replace those words with an empty string to remove them from the text.  


Using SpaCy, it is possible to exclude words within a specific span from a text in the following ways:  

  • Text pre-processing: Removing specific words or phrases from text can be a useful step in pre-processing text data for NLP tasks such as text classification, sentiment analysis, and language translation.  
  • Document summarization: Maintaining only the most crucial information, specific words or phrases will serve to construct a summary of a lengthy text.  
  • Data cleaning: Anonymization and data cleaning can both benefit from removing sensitive or useless text information, such as names and addresses.  
  • Text generation: Adding context or meaning to the generated content might help create new text by deleting specific words or phrases.  
  • Text augmentation: Text can be used for text augmentation techniques in NLP by removing specific words or phrases and replacing them with new text variations.  


Here is how you can remove words in span using SpaCy:  

Preview of the output that you will get on running this code from your IDE

Code

In this solution we have used spacy library of python

  1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  2. Enter the Text
  3. Run the code that Remove Specific words in the text


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


I found this code snippet by searching for "Remove words in span from spacy" in kandi. You can try any such use case!


Note


In this snippet we are using a Language model (en_core_web_sm)

  1. Download the model using the command python -m spacy download en_core_web_sm .
  2. paste it in your terminal and download it.


Check the user's spacy version using pip show spacy command in users terminal.

  1. if its version 3.0, you will need to load it using nlp = spacy.load("en_core_web_sm")
  2. if its version is less than 3.0 you will need to load it using nlp = spacy.load("en")

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.


  1. The solution is created in Python 3.7.15 Version
  2. The solution is tested on Spacy 3.4.3 Version


Using this solution, we can collect nouns that ends with s-t-l with the help of function in spacy . This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us use full stop whenever the user needs in the sentence in python.

Dependent Library

If you do not have SpaCy and numpy that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the Spacy page in kandi.

You can search for any dependent library on kandi like SpaCy and numpy

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page

SpaCy is an open-source software library for advanced natural language processing. It assists you in creating programs that process and "understand" massive amounts of text because it was created expressly for use in production environments. The quick and effective tokenization offered by spaCy is one of its main advantages. SpaCy is frequently used for tasks including information extraction, machine translation, named entity recognition, part-of-speech tagging, and text summarization in business, academia, and government research projects. 


Additionally, spaCy offers tools for standard tasks like text classification, language recognition, working with word vectors and similarity, and more. You can use spaCy's tokenizer to remove certain types of tokens from a text. You may use SpaCy in a few ways to get rid of tokens in text, including symbols, punctuation, and numerals. Some examples include: 

  • Eliminating common stop words: SpaCy has a built-in list of terms you can eliminate from your writing, like "and," "or," and "the." 
  • Eliminating punctuation: You may verify whether a token is a punctuation using the spacy.tokens.token.is punct property and then deletes it from the text. 
  • Removing numbers: To determine whether a token is a number and to delete it from the text, use the spacy.tokens.token.like num property. 
  • Removing symbols: To determine whether a token is a symbol or not and to delete it from the text, use the spacy.tokens.token.isalpha and spacy.tokens.token.is digit properties. 


Here is how you can remove tokens like symbols, punctuation, and numbers in SpaCy:

Preview of the output that you will get on running this code from your IDE

Code

In this solution we use the Attributes method of the SpaCy library.

  1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  2. Enter the Text
  3. Run the file to annihilate symbols ,numbers and punctuation


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


I found this code snippet by searching for "How to filter tokens from spacy Document " in kandi. You can try any such use case!


Note


In this snippet we are using a Language model (en_core_web_sm)

  1. Download the model using the command python -m spacy download en_core_web_sm .
  2. paste it in your terminal and download it.


Check the user's spacy version using pip show spacy command in users terminal.

  1. if its version 3.0 or above you will need to load it using nlp = spacy.load("en_core_web_sm")
  2. if its version is less than 3.0 you will need to load it using nlp = spacy.load("en")

Environment Test

I tested this solution in the following versions. Be mindful of changes when working with other versions.


  1. The solution is created in Python 3.7.15. Version
  2. The solution is tested on Spacy 3.4.3 Version
  3. The solution is tested on numpy 1.21.6 Version


Using this solution, we can able to delete or remove symbols ,punctuation, numbers using python with the help of Spacy library. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us remove the token in python.

Dependent Library

If you do not have SpaCy and numpy that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the Spacy page in kandi.

You can search for any dependent library on kandi like Spacy and numpy

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.

Pandas DataFrame can be created from the lists, dictionary, and from a list of dictionary etc. In this solution we are going to Create a DataFrame (df) based on unique index. Python consist of Numerous numbers of Library that help the developer to develop the code. In that there is a specific library that helps to machine learning tasks , Data analysis . In this solution kit, I am sharing the code snippet and library that create the Data frame with unique Index in Python which can be executed directly in the IDE.


Preview of the output that you will get on running this code.

Code

In this solution we have used append() function of python.

  1. Copy this code using "Copy" button above and paste it in your Python ide
  2. Import Pandas and Numpy library of python.
  3. Run the code to get a unique index.


I hope you have found this useful. I have added the dependent library and version information in the following section.


I found this code snippet by searching "Create pandas dataFrame with unique index" in kandi. you can try any use case.

Dependent Library

If you do not have Pandas that is required to run this code you can install it by clicking on th above link and copying the pip install command from the pandas page in Kandi. You can search for any dependent library in Kandi like Pandas.

Environment Test

In this solution we have used the following versions. Be mindful to change when working with other versions.


  1. This solution is created using Python version 3.7.15
  2. This solution is Tested using Pandas 1.5.2


Using this solution we can able to Create a dataframe with a unique Index using Pandas library in python with simple Steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us create a Dataframe with unique Index in Python.

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.

In this solution we are going to get the size of each sublist and neglect empty and single elements using length function len() in python.

Preview of the output that you will get on running this code.

Code

In this solution we have used Len() function in python.

  1. Copy this code using "Copy" button above and paste it in your Python ide
  2. Run the code, get the size of each sublist and neglect empty and single elements


I hope you have found this useful. I have added the version information in the following section.


I found this code snippet by searching "Python find size of each sublist in a list" in kandi. you can try any use case.

Dependent Library

If you do not have numpy that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the numpy page in kandi.

You can search for any dependent library on kandi like numpy

Environment Test

In this solution we have used the following versions. Be mindful to change when working with other versions.


  • This solution is created using Python version 3.7.15


Using this solution we can able to get the size of each sublist and neglect empty and single elements in python with simple Steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us to get size of each sub-list in Python.

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.


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QUESTION

Vue - Wait for for loop to fetch all items asynchronously

Asked 2022-Apr-17 at 17:32

i have an array of data to be fetched, so i have to use a for loop to fetch all the data, but i want to do it asynchronously (multiple calls at the same time). After having fetched the data i also want to do some data manipulation, so i need to run code AFTER all the data has been fetched

1for (var e in this.dataTofetch) {
2  axios
3    .get("https://www.example.com/api/" + e)
4    .then((response) => this.fetchedData.push(response.data));
5}
6this.manipulateData();
7

The problem is that whenever i reach the manipulateData function, fetchedData is empty.

Also i tried doing it synchronously using await and it works but it becomes very slow when making multiple calls.

ANSWER

Answered 2022-Apr-17 at 17:21

The best approach I can think of is to use Promise.all(). You will leave out the .then-handler, because axios.get() returns you a promise.

An exact implementation example can be found here at StackOverflow: Promise All with Axios.

Source https://stackoverflow.com/questions/71903882

Community Discussions contain sources that include Stack Exchange Network

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    Check if azure databricks mount point exists from .NET
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QUESTION

Vue - Wait for for loop to fetch all items asynchronously

Asked 2022-Apr-17 at 17:32

i have an array of data to be fetched, so i have to use a for loop to fetch all the data, but i want to do it asynchronously (multiple calls at the same time). After having fetched the data i also want to do some data manipulation, so i need to run code AFTER all the data has been fetched

1for (var e in this.dataTofetch) {
2  axios
3    .get("https://www.example.com/api/" + e)
4    .then((response) => this.fetchedData.push(response.data));
5}
6this.manipulateData();
7

The problem is that whenever i reach the manipulateData function, fetchedData is empty.

Also i tried doing it synchronously using await and it works but it becomes very slow when making multiple calls.

ANSWER

Answered 2022-Apr-17 at 17:21

The best approach I can think of is to use Promise.all(). You will leave out the .then-handler, because axios.get() returns you a promise.

An exact implementation example can be found here at StackOverflow: Promise All with Axios.

Source https://stackoverflow.com/questions/71903882

Community Discussions contain sources that include Stack Exchange Network

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