hollywood | Launch Byobu Open a random number
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kandi X-RAY | hollywood Summary
Launch Byobu Open a random number of splits, random sizes In each split, run a noisy text app.
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QUESTION
I have a dataframe df
that has a column containing text df['text']
(articles from a newspaper, in this case). How can I get a count of the rows in df['text']
that have a word count above some threshold of n
words?
An example of df
is shown below. Each article can contain an arbitrary number of words.
ANSWER
Answered 2021-May-19 at 01:36Assuming that "words" are separated by spaces one approach would be to count the number of spaces between words and add 1. Then compare to the n value.
QUESTION
following are my files for html, .ts and json . As json data was very extensive therefore i have just added a few states and their cities. my 1st dropdown is showing all states. Now I want to match my 1st dropdown's selected value of state with a key "state" in "cities" object in my json file so i can populate 2nd dropdown with cities relevant to that state. and I want to do this in function "getCitiesForSelectedState". please help me find solution for this.
//.ts file
...ANSWER
Answered 2021-Apr-27 at 16:44You can do it with the $event
parameter.
Make sure to compare your values safely.
If your value is not in the right type or has spaces or unwanted chars, this c.state == val
might not work.
You can use the trim
function to compare your value safely:
c.state.trim() == val.trim()
HTML
QUESTION
i have a file 'movie.html' :
...ANSWER
Answered 2021-Apr-09 at 01:23Parsing html with regex is not advised for several reasons (see https://stackoverflow.com/a/1732454/12957340), but here is one potential solution:
QUESTION
i have a file 'tes.html' :
...ANSWER
Answered 2021-Apr-08 at 07:57With your shown samples, please try following.
QUESTION
I have this list that represent Fedex tracking
...ANSWER
Answered 2021-Mar-24 at 19:56history = [
"Tuesday, March 16, 2021",
"3:03 PM Hollywood, FL\nDelivered\nLeft at front door. Signature Service not requested.",
"5:52 AM MIAMI, FL\nOn FedEx vehicle for delivery",
"5:40 AM MIAMI, FL\nAt local FedEx facility",
"Monday, March 15, 2021",
"11:42 PM OCALA, FL\nDeparted FedEx location",
"10:01 PM OCALA, FL\nArrived at FedEx location",
"8:28 PM OCALA, FL\nIn transit",
"12:42 AM OCALA, FL\nIn transit",
]
import re
r = re.compile("^(?:Sunday|Monday|Tuesday|Wednesday|Thursday|Friday|Saturday)")
data, cur_group = [], ""
for line in history:
if r.match(line):
cur_group = line
else:
data.append([cur_group, *line.split("\n", maxsplit=1)])
df = pd.DataFrame(data)
print(df)
QUESTION
When i call **https://www.instagram.com/explore/tags/hollywood/?__a=1** using python it always return HTML response like **(Please wait a few minutes before you try again. )** insted of JSON response. after two days also i got same HTML response. is any possible solution to solve this ?
Here i attached sample code: ...
ANSWER
Answered 2021-Mar-22 at 11:09Must be blocked temporarily ,try connecting to a different network, and don't call the script at smaller intervals
QUESTION
So what I'm trying to do is to make the border of an asp:Table
curve inwards (like border-radius
, but inwards). A picture of what I'm trying to achieve:
I can't put the content in a div
and curve its corners, because that wouldn't allow me to go with the look I'm going for on my site.
what I'm trying to do on this page is have the table
's borders in the same background color as the background.
this is my code currently:
ANSWER
Answered 2021-Mar-01 at 00:44You can simulate this using radial-gradient()
QUESTION
Query is below
{"from": 0, "size": 1000, "query": {"bool": {"must": {"query_string": {"query": "Love"}}}}}
If I pass Live
also then also i need to get search results for Love
Mapping
...ANSWER
Answered 2021-Feb-17 at 10:33You can add the fuzziness
parameter to your query, like this:
QUESTION
I have list of dictionary below
...ANSWER
Answered 2021-Feb-17 at 05:59I hope this counter example helps.
QUESTION
I have dictionary below
[{'id': 0, 'Title': 'The Land Girls', 'US Gross': 146083, 'Worldwide Gross': 146083, 'US DVD Sales': 'null', 'Production Budget': 8000000, 'Release Date': 'Jun 12 1998', 'MPAA Rating': 'R', 'Running Time min': 'null', 'Distributor': 'Gramercy', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 'null', 'IMDB Rating': 6.1, 'IMDB Votes': 1071}, {'id': 1, 'Title': 'First Love, Last Rites', 'US Gross': 10876, 'Worldwide Gross': 10876, 'US DVD Sales': 'null', 'Production Budget': 300000, 'Release Date': 'Aug 07 1998', 'MPAA Rating': 'R', 'Running Time min': 'null', 'Distributor': 'Strand', 'Source': 'null', 'Major Genre': 'Drama', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 'null', 'IMDB Rating': 6.9, 'IMDB Votes': 207}, {'id': 2, 'Title': 'I Married a Strange Person', 'US Gross': 203134, 'Worldwide Gross': 203134, 'US DVD Sales': 'null', 'Production Budget': 250000, 'Release Date': 'Aug 28 1998', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'Lionsgate', 'Source': 'null', 'Major Genre': 'Comedy', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 'null', 'IMDB Rating': 6.8, 'IMDB Votes': 865}, {'id': 3, 'Title': "Let's Talk About Sex", 'US Gross': 373615, 'Worldwide Gross': 373615, 'US DVD Sales': 'null', 'Production Budget': 300000, 'Release Date': 'Sep 11 1998', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'Fine Line', 'Source': 'null', 'Major Genre': 'Comedy', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 13, 'IMDB Rating': 'null', 'IMDB Votes': 'null'}, {'id': 4, 'Title': 'Slam', 'US Gross': 1009819, 'Worldwide Gross': 1087521, 'US DVD Sales': 'null', 'Production Budget': 1000000, 'Release Date': 'Oct 09 1998', 'MPAA Rating': 'R', 'Running Time min': 'null', 'Distributor': 'Trimark', 'Source': 'Original Screenplay', 'Major Genre': 'Drama', 'Creative Type': 'Contemporary Fiction', 'Director': 'null', 'Rotten Tomatoes Rating': 62, 'IMDB Rating': 3.4, 'IMDB Votes': 165}, {'id': 5, 'Title': 'Mississippi Mermaid', 'US Gross': 24551, 'Worldwide Gross': 2624551, 'US DVD Sales': 'null', 'Production Budget': 1600000, 'Release Date': 'Jan 15 1999', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'MGM', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 'null', 'IMDB Rating': 'null', 'IMDB Votes': 'null'}, {'id': 6, 'Title': 'Following', 'US Gross': 44705, 'Worldwide Gross': 44705, 'US DVD Sales': 'null', 'Production Budget': 6000, 'Release Date': 'Apr 04 1999', 'MPAA Rating': 'R', 'Running Time min': 'null', 'Distributor': 'Zeitgeist', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'Christopher Nolan', 'Rotten Tomatoes Rating': 'null', 'IMDB Rating': 7.7, 'IMDB Votes': 15133}, {'id': 7, 'Title': 'Foolish', 'US Gross': 6026908, 'Worldwide Gross': 6026908, 'US DVD Sales': 'null', 'Production Budget': 1600000, 'Release Date': 'Apr 09 1999', 'MPAA Rating': 'R', 'Running Time min': 'null', 'Distributor': 'Artisan', 'Source': 'Original Screenplay', 'Major Genre': 'Comedy', 'Creative Type': 'Contemporary Fiction', 'Director': 'null', 'Rotten Tomatoes Rating': 'null', 'IMDB Rating': 3.8, 'IMDB Votes': 353}, {'id': 8, 'Title': 'Pirates', 'US Gross': 1641825, 'Worldwide Gross': 6341825, 'US DVD Sales': 'null', 'Production Budget': 40000000, 'Release Date': 'Jul 01 1986', 'MPAA Rating': 'R', 'Running Time min': 'null', 'Distributor': 'null', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'Roman Polanski', 'Rotten Tomatoes Rating': 25, 'IMDB Rating': 5.8, 'IMDB Votes': 3275}, {'id': 9, 'Title': 'Duel in the Sun', 'US Gross': 20400000, 'Worldwide Gross': 20400000, 'US DVD Sales': 'null', 'Production Budget': 6000000, 'Release Date': 'Dec 31 2046', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'null', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 86, 'IMDB Rating': 7, 'IMDB Votes': 2906}, {'id': 10, 'Title': 'Tom Jones', 'US Gross': 37600000, 'Worldwide Gross': 37600000, 'US DVD Sales': 'null', 'Production Budget': 1000000, 'Release Date': 'Oct 07 1963', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'null', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 81, 'IMDB Rating': 7, 'IMDB Votes': 4035}, {'id': 11, 'Title': 'Oliver!', 'US Gross': 37402877, 'Worldwide Gross': 37402877, 'US DVD Sales': 'null', 'Production Budget': 10000000, 'Release Date': 'Dec 11 1968', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'Sony Pictures', 'Source': 'null', 'Major Genre': 'Musical', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 84, 'IMDB Rating': 7.5, 'IMDB Votes': 9111}, {'id': 12, 'Title': 'To Kill A Mockingbird', 'US Gross': 13129846, 'Worldwide Gross': 13129846, 'US DVD Sales': 'null', 'Production Budget': 2000000, 'Release Date': 'Dec 25 1962', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'Universal', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 97, 'IMDB Rating': 8.4, 'IMDB Votes': 82786}, {'id': 13, 'Title': 'Tora, Tora, Tora', 'US Gross': 29548291, 'Worldwide Gross': 29548291, 'US DVD Sales': 'null', 'Production Budget': 25000000, 'Release Date': 'Sep 23 1970', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'null', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'Richard Fleischer', 'Rotten Tomatoes Rating': 'null', 'IMDB Rating': 'null', 'IMDB Votes': 'null'}, {'id': 14, 'Title': 'Hollywood Shuffle', 'US Gross': 5228617, 'Worldwide Gross': 5228617, 'US DVD Sales': 'null', 'Production Budget': 100000, 'Release Date': 'Mar 01 1987', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'null', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 87, 'IMDB Rating': 6.8, 'IMDB Votes': 1532}]
How to find the movies which IMDB Rating > 6 using DSL query
...ANSWER
Answered 2021-Feb-17 at 05:40You can use range query. Try out this below query
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