I have done this kind of things in JupyterNotebooks and Sypder IDE, however, when i try to read a print a csv file in Pycharm, it shows the data with the separator, not tabulated as I wish.
I have tried the following:
import pandas as pd
print("~"*50)
see = pd.read_csv(r"C:\Users\HP\pythonProject\Modulo6\bank.csv ", sep=";")
print(see)
And what I get in terminal is this:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
age;"job";"marital";"education";"default";"balance";"housing";"loan";"contact";"day";"month";"duration";"campaign";"pdays";"previous";"poutcome";"y"
0 30;"unemployed";"married";"primary";"no";1787;...
1 33;"services";"married";"secondary";"no";4789;...
2 35;"management";"single";"tertiary";"no";1350;...
3 30;"management";"married";"tertiary";"no";1476...
4 59;"blue-collar";"married";"secondary";"no";0;...
... ...
4516 33;"services";"married";"secondary";"no";-333;...
4517 57;"self-employed";"married";"tertiary";"yes";...
4518 57;"technician";"married";"secondary";"no";295...
4519 28;"blue-collar";"married";"secondary";"no";11...
4520 44;"entrepreneur";"single";"tertiary";"no";113...
[4521 rows x 1 columns]
Sample of raw csv data, copied straight from Excel :
age;"job";"marital";"education";"default";"balance";"housing";"loan";"contact";"day";"month";"duration";"campaign";"pdays";"previous";"poutcome";"y" 30;"unemployed";"married";"primary";"no";1787;"no";"no";"cellular";19;"oct";79;1;-1;0;"unknown";"no"