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Merging two different csv with python
Periodically executing a scraping script with PythonHow to implement accurate counts or sums when you have different numbers of days of the week?Merging two different models in KerasNeed help in improving accuracy of text classification using Naive Bayes in nltk for movie reviewsWhat to give as predictors to predict future values?rectangular markers in bubble plot (Python)Value error in Merging two different models in kerasMerging dataframes in Pandas is taking a surprisingly long timeTime series data into supervised learning problem Python
$begingroup$
So I have one csv with 'films' in a database that have a unique ID
movie_title | ID | popularity
spider-man unique ID 4.2
captain marvel unique ID 9.9
Then about every week, I would like to update that popularity with a new one from another list of movies.
New movie list:
movie_title | ID | popularity
spider-man unique ID 5.5
captain marvel unique ID 7.4
How can I merge these two csv and output a new csv with only the value popularity updating? I have other values that also change over the week, but I just did popularity for simplicity. The unique ID must be in the new csv as well not only the changes; because, when I resubmit back to the database that is the only way that it will update with the ID.
The second list does not contain the ID's.
python
$endgroup$
add a comment |
$begingroup$
So I have one csv with 'films' in a database that have a unique ID
movie_title | ID | popularity
spider-man unique ID 4.2
captain marvel unique ID 9.9
Then about every week, I would like to update that popularity with a new one from another list of movies.
New movie list:
movie_title | ID | popularity
spider-man unique ID 5.5
captain marvel unique ID 7.4
How can I merge these two csv and output a new csv with only the value popularity updating? I have other values that also change over the week, but I just did popularity for simplicity. The unique ID must be in the new csv as well not only the changes; because, when I resubmit back to the database that is the only way that it will update with the ID.
The second list does not contain the ID's.
python
$endgroup$
add a comment |
$begingroup$
So I have one csv with 'films' in a database that have a unique ID
movie_title | ID | popularity
spider-man unique ID 4.2
captain marvel unique ID 9.9
Then about every week, I would like to update that popularity with a new one from another list of movies.
New movie list:
movie_title | ID | popularity
spider-man unique ID 5.5
captain marvel unique ID 7.4
How can I merge these two csv and output a new csv with only the value popularity updating? I have other values that also change over the week, but I just did popularity for simplicity. The unique ID must be in the new csv as well not only the changes; because, when I resubmit back to the database that is the only way that it will update with the ID.
The second list does not contain the ID's.
python
$endgroup$
So I have one csv with 'films' in a database that have a unique ID
movie_title | ID | popularity
spider-man unique ID 4.2
captain marvel unique ID 9.9
Then about every week, I would like to update that popularity with a new one from another list of movies.
New movie list:
movie_title | ID | popularity
spider-man unique ID 5.5
captain marvel unique ID 7.4
How can I merge these two csv and output a new csv with only the value popularity updating? I have other values that also change over the week, but I just did popularity for simplicity. The unique ID must be in the new csv as well not only the changes; because, when I resubmit back to the database that is the only way that it will update with the ID.
The second list does not contain the ID's.
python
python
edited Apr 7 at 17:29
Ethan
706625
706625
asked Apr 7 at 9:12
william validowilliam valido
42
42
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1 Answer
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$begingroup$
What you need is a pandas.DataFrame.update.
Use pandas.read_csv to read the csv file to a Pandas DataFrame, then do the update. Once you have made the update you can use pandas.DataFrame.to_csv to convert it back to a csv.
$endgroup$
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
What you need is a pandas.DataFrame.update.
Use pandas.read_csv to read the csv file to a Pandas DataFrame, then do the update. Once you have made the update you can use pandas.DataFrame.to_csv to convert it back to a csv.
$endgroup$
add a comment |
$begingroup$
What you need is a pandas.DataFrame.update.
Use pandas.read_csv to read the csv file to a Pandas DataFrame, then do the update. Once you have made the update you can use pandas.DataFrame.to_csv to convert it back to a csv.
$endgroup$
add a comment |
$begingroup$
What you need is a pandas.DataFrame.update.
Use pandas.read_csv to read the csv file to a Pandas DataFrame, then do the update. Once you have made the update you can use pandas.DataFrame.to_csv to convert it back to a csv.
$endgroup$
What you need is a pandas.DataFrame.update.
Use pandas.read_csv to read the csv file to a Pandas DataFrame, then do the update. Once you have made the update you can use pandas.DataFrame.to_csv to convert it back to a csv.
answered Apr 7 at 18:36
StevenTheDataGuyStevenTheDataGuy
964
964
add a comment |
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