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How to download NLTK data with Python?

Sometimes, we want to download NLTK data with Python.

In this article, we’ll look at how to download NLTK data with Python.

How to download NLTK data with Python?

To download NLTK data with Python, we use the download method.

For instance, we write

import nltk

nltk.download('punkt')

to call download to download the punkt sentence tokenizer.

We can also download a basic list of data with

nltk.download('popular')

Conclusion

To download NLTK data with Python, we use the download method.

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How to extract the n-th elements from a list of tuples with Python?

Sometimes, we want to extract the n-th elements from a list of tuples with Python.

In this article, we’ll look at how to extract the n-th elements from a list of tuples with Python.

How to extract the n-th elements from a list of tuples with Python?

To extract the n-th elements from a list of tuples with Python, we can use list comprehension.

For instance, we write

elements = [(1,1,1),(2,3,7),(3,5,10)]
n = 1
l = [x[n] for x in elements]

to get the 2nd element from each tuple x in the elements list and assign the list to l.

Conclusion

To extract the n-th elements from a list of tuples with Python, we can use list comprehension.

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How to fix Can not click on a Element: ElementClickInterceptedException in Python Selenium?

Sometimes, we want to fix Can not click on a Element: ElementClickInterceptedException in Python Selenium.

In this article, we’ll look at how to fix Can not click on a Element: ElementClickInterceptedException in Python Selenium.

How to fix Can not click on a Element: ElementClickInterceptedException in Python Selenium?

To fix Can not click on a Element: ElementClickInterceptedException in Python Selenium, we can use move_to_element to move to the element we want to click on before we call click.

For instance, we write

element = driver.find_element_by_css('div[class*="loadingWhiteBox"]')
webdriver.ActionChains(driver).move_to_element(element).click(element ).perform()

to get the div with class loadingWhiteBox with find_element_by_css.

Then we use

webdriver.ActionChains(driver).move_to_element(element)

to move to the returned element.

Next, we call click with element and then perform to do the click on the element.

Conclusion

To fix Can not click on a Element: ElementClickInterceptedException in Python Selenium, we can use move_to_element to move to the element we want to click on before we call click.

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How to get item frequency count in Python?

Sometimes, we want to get item frequency count in Python.

In this article, we’ll look at how to get item frequency count in Python.

How to get item frequency count in Python?

To get item frequency count in Python, we can use the Counter class.

For instance, we write

from collections import Counter

words = "apple banana apple strawberry banana lemon"
c = Counter(words.split())

to split the words in words with split.

Then create a Counter object with the list of strings split from words to get an object with the count of each word.

Conclusion

To get item frequency count in Python, we can use the Counter class.

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How to GroupBy results to dictionary of lists with Python Pandas?

Sometimes, we want to GroupBy results to dictionary of lists with Python Pandas.

In this article, we’ll look at how to GroupBy results to dictionary of lists with Python Pandas.

How to GroupBy results to dictionary of lists with Python Pandas?

To GroupBy results to dictionary of lists with Python Pandas, we can use the call to_dict after calling groupby.

For instance, we write

d = df.groupby('Column1')['Column3'].apply(list).to_dict()

to call groupby to group the rows by values in the Column1 column.

And then we get the grouped values in the Column3 column.

Next, we call apply with list to combine the grouped value into a list.

And then we call to_dict to return a dict with the keys being the group value and the values being a list of the items in the group.

Conclusion

To GroupBy results to dictionary of lists with Python Pandas, we can use the call to_dict after calling groupby.