videoblog | Recursos que menciono en el videoblog
kandi X-RAY | videoblog Summary
kandi X-RAY | videoblog Summary
Recursos que menciono en el videoblog.
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Top functions reviewed by kandi - BETA
- Creates a frame
- Creates a Vector instance
- Set the shape color to blue
- Set the shape color to green
- Make the shape color red
- Creates a Vector
- R Creates the union of the vector z
- Rotate a vector
- Creates a point
videoblog Key Features
videoblog Examples and Code Snippets
Community Discussions
Trending Discussions on videoblog
QUESTION
I'm currently working on a project that displays an array of YouTube trending videos from several regions. Currently I'm working on a function that allows users to filter out results by category, and have no honest clue about where to begin implementation.
Here's a snippet of the video category data for the US region:
...ANSWER
Answered 2021-May-02 at 08:07You have a list of video
objects, each of which has a category ID, and a list of category IDs.
The filtering process is very simple:
QUESTION
I have a dictionary that looks something like
{1: 'Film & Animation', 2: 'Autos & Vehicles', ....... 10: 'Music'}
And I have a dataframe, with column names
Name Address 1 2 3 .....
How can I change the dataframe column names to the corresponding values in the dictionary?
Output of print(thedict) {1: 'Film & Animation', 2: 'Autos & Vehicles', 10: 'Music', 15: 'Pets & Animals', 17: 'Sports', 18: 'Short Movies', 19: 'Travel & Events', 20: 'Gaming', 21: 'Videoblogging', 22: 'People & Blogs', 23: 'Comedy', 24: 'Entertainment', 25: 'News & Politics', 26: 'Howto & Style', 27: 'Education', 28: 'Science & Technology', 30: 'Movies', 31: 'Anime/Animation', 32: 'Action/Adventure', 33: 'Classics', 34: 'Comedy', 35: 'Documentary', 36: 'Drama', 37: 'Family', 38: 'Foreign', 39: 'Horror', 40: 'Sci-Fi/Fantasy', 41: 'Thriller', 42: 'Shorts', 43: 'Shows', 44: 'Trailers'}
Output of print(df.columns) = Index([24, 22, 25, 10, 17, 26, 23, 20], dtype='object')
...ANSWER
Answered 2020-May-07 at 04:52You can map the column names to your dictionary with:
df.columns = df.columns.map(thedict)
This will change the column names 'Name'
and 'Address'
to NaN
.
You can then restore those column names with:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install videoblog
You can use videoblog like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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