I have a JSON file which is 48MB (collection of tweets I data mined). I need to convert the JSON file to CSV so I can import it into a SQL database and cleanse it.
I've tried every JSON to CSV converter but they all come back with the same result of "file exceeds limits" / the file is too large. Is there a good method of converting such a massive JSON file to CSV within a short period of time?
Thank you!
A 48mb json file is pretty small. You should be able to load the data into memory using something like this
import json
with open('data.json') as data_file:
data = json.load(data_file)
Dependending on how you wrote to the json file, data may be a list, which contains many dictionaries. Try running:
type(data)
If the type is a list, then iterate over each element and inspect it. For instance:
for row in data:
print(type(row))
# print(row.keys())
If row is a dict instance, then inspect the keys and within the loop, start building up what each row of the CSV should contain, then you can either use pandas, the csv module or just open a file and write line by line with commas yourself.
So maybe something like:
import json
with open('data.json') as data_file:
data = json.load(data_file)
with open('some_file.txt', 'w') as f:
for row in data:
user = row['username']
text = row['tweet_text']
created = row['timestamp']
joined = ",".join([user, text, created])
f.write(joined)
You may still run into issues with unicode characters, commas within your data, etc...but this is a general guide.
Related
I'm trying to use python to clean up data in csv file.
data = ['Code', 'Name',' Size ',' Sector',' Industry ']
Tried the following;
for x in data:
print(data.strip())
it works where I can read the data in the format I want but the problem is it doesn't change the data in csv.
If you want to strip away space from string stored in a list you can do it with a list comprehension like this,
data = [item.strip() for item in data]
If you like to do this over a pandas dataframe column,
df['col'] = df['col'].str.strip()
reassign the cleansed entries back to the data variable before saving it back to csv.
data = [x.strip() for x in data]
then save data to csv.
I am trying to write pandas dataframe which has German text into csv file. Here is the the relevant snippet:
data =p.DataFrame(Inform)
data = data.fillna("NA")
data=data.transpose()
data.to_csv("./Info.csv",encoding='utf-8')
The text was obtained through soup = BeautifulSoup(r, from_encoding='utf-8'). When I print the text in console it produces properly decoded text - however in the csv the text is not decoded (e.g., "Gesamtfläche"). I tried some other encodings but they don't seem to work either.
I am loading CSV file using COPY.
COPY cts FROM 'C:\...\cts.csv' using DELIMITERS',';
However, error comes out
ERROR: invalid input syntax for type double precision: ""
CONTEXT: COPY testdata, line 7, column latitude: ""
How to fix it please?
Looks like your CSV isn't quite formatted correctly. "" isn't a number, and numbers don't need to be be quoted in CSV.
I find it's usually easier in PostgreSQL to create a staging import table with all text columns, and import CSVs to there first. Then do a cleanup query to put the CSV data into the real table.
i control the problem of the data what is uploaded by the POST method, in the web.
If the file is a text theres no problem but the trouble comes when it's an encoded file, as a Picture or other. What the when the system insert the data into the file.
Well it doesn 't encoded in the right way. I will put all the code, from the area whats take the environ['wsgi.input'] to the area thats save the file:
# Here the data from the environ['wsgi.input'],
# first i convert the byte into a string delete the first
# field that represent the b and after i strip the single quotes
tmpData = str(rawData)[1:].strip("' '")
dat = tmpData.split('\\r')#Then i split all the data in the '\\r'
s = open('/home/hidura/test.png', 'w')#I open the test.png file.
for cont in range(5,150):#Now beging in the 5th position to the 150th position
s.write(dat[cont])#Insert the piece of the data in the file.
s.close()#Then closed.
Where is the mistake?
Thankyou in advance.
Why do you convert the binary data to a string? A png file is binary data. Just write the binary data to the file. You need to open the file in binary mode as well.
s = open('/home/hidura/test.png', 'wb')
s.write(data)
im currently want to inport my data from flat file to the database.
the flat file is in a txt file. in that txt file, i save a list of URLs. example:
http://www.mimi.com/Hotels-g303188-Rurrenabaque-Hotels.html
im using the SQL Server Import and Export wizard to do it. but when the time of execution, it has error saying
Error 0xc02020a1:
Data Flow Task 1: Data conversion failed. The data conversion for column
"Column 0" returned status value 4 and status text "Text was truncated or one
or more characters had no match in the target code page.".
can anyone help?..
You get this error because the text is too long for the column youve chosen to put it in.
Text was truncated or
You might want to check the size of the database column vis-a-vis your input data. Does the longest URL less than the column width?
one or more characters had no match in the target code page.".
Check if your input file has any special characters. An easy way to check this would be to save your file in ANSI (Notepad > Save As > Encoding = ANSI). Note - you'd still have to select the right code page so that the import interprets your input text correctly.
Here's a very nice link that has some background on what code pages are - http://www.joelonsoftware.com/articles/Unicode.html
Note you can also change the target column data type (to text stream for example) in the Datasource->Advanced section