I have a large script that saves data to a postgres database. Tell me how can I get rid of [‘ and ‘]. I need the data in the storage to be saved without these characters
total.to_csv("C:/Users/.../total_type19.csv", index = False, sep =';') conn5 = psycopg2.connect(dbname='', user='', password='', host='', port = '') cursor5 = conn5.cursor() with open("C:/Users/.../total_type19.csv", "r",encoding = 'utf-8') as file: reader = csv.reader(file, delimiter = ";") header = next(reader ) # print(f"HEADER {header}") counter = 1 for row in reader: # print(row) test_id =row[0] test_id = ''.join([i for i in test_id if i.isdigit()]) if test_id == '': counter +=1 test_id = counter else: test_id = int(test_id) # print(test_id) cursor5.execute( 'INSERT INTO interaction_fillword (test_id, data_size, data_words_selection, data_matrix, data_colors, data_answers) VALUES(%s,%s, %s, %s, %s, %s)', (test_id, row[1], row[2], row[3], row[4], row[5])) conn5.commit()
This is how the data looks in the database
id test_id data_size data_words_selection data_matrix data_colors data_answers 0 224 312229 ['12'] ['["v","b","c","c","a","h","i","e","r","s","f"... ['[{from:[3,4],to:[7,4],color:2},{from:[3,6],t... ['"#ff0000","#00fe00","#0000ff","#d2ea9a","#40... ['"place","cartable","gomme","bureau","bibliot... 1 225 400606 ['12'] ['["v","b","c","c","a","h","i","e","r","s","f"... ['[{from:[3,4],to:[7,4],color:2},{from:[3,6],t... ['"#ff0000","#00fe00","#0000ff","#d2ea9a","#40... ['"place","cartable","gomme","bureau","bibliot... 2 226 410051 ['12'] ['["v","b","c","c","a","h","i","e","r","s","f"... ['[{from:[3,4],to:[7,4],color:2},{from:[3,6],t... ['"#ff0000","#00fe00","#0000ff","#d2ea9a","#40... ['"place","cartable","gomme","bureau","bibliot...
Tell me how to get rid of these characters, perhaps the problem occurs after parsing when writing to a dataframe. It is necessary to get rid of the first [‘ and ‘], the following brackets must be left Help please
this is an example of how i would like the data to look like
id test_id data_size data_words_selection data_matrix data_colors data_answers 0 224 312229 12 ["v","b","c","c","a","h","i","e","r","s","f"... [{from:[3,4],to:[7,4],color:2},{from:[3,6],t... "#ff0000","#00fe00","#0000ff","#d2ea9a","#40... "place","cartable","gomme","bureau","bibliot... 1 225 400606 12 ["v","b","c","c","a","h","i","e","r","s","f"... [{from:[3,4],to:[7,4],color:2},{from:[3,6],t... "#ff0000","#00fe00","#0000ff","#d2ea9a","#40... "place","cartable","gomme","bureau","bibliot... 2 226 410051 12 ["v","b","c","c","a","h","i","e","r","s","f"... [{from:[3,4],to:[7,4],color:2},{from:[3,6],t... "#ff0000","#00fe00","#0000ff","#d2ea9a","#40... "place","cartable","gomme","bureau","bibliot...
Replace doesn’t help.
Advertisement
Answer
Try map with specific column and add lstrip and rstrip in lambada
df[col] = df[col].map(lambda x: str(x).lstrip("['").rstrip("']")).astype(float)
Hope this will work for you.