Develop Reference

How to load column names from Amazon Redshift with Psycopg? [duplicate]

So currently when I execute SELECT query and retrieve data I have to get results like this:
connection = psycopg2.connect(user="admin",
password="admin",
host="127.0.0.1",
port="5432",
database="postgres_db")
cursor = connection.cursor()
cursor.execute("SELECT * FROM user")
users = cursor.fetchall()
for row in users:
print(row[0])
print(row[1])
print(row[2])
What I want to do is, use column names instead of integers, like this:
for row in users:
print(row["id"])
print(row["first_name"])
print(row["last_name"])
Is this possible, and if it is, then how to do it?

You need to use RealDictCursor, then you can access the results like a dictionary:
import psycopg2
from psycopg2.extras import RealDictCursor
connection = psycopg2.connect(user="...",
password="...",
host="...",
port="...",
database="...",
cursor_factory=RealDictCursor)
cursor = connection.cursor()
cursor.execute("SELECT * FROM user")
users = cursor.fetchall()
print(users)
print(users[0]['user'])
Output:
[RealDictRow([('user', 'dbAdmin')])]
dbAdmin

no need to call fetchall() method, the psycopg2 cursor is an iterable object you can directly do:
cursor.execute("SELECT * FROM user")
for buff in cursor:
row = {}
c = 0
for col in cursor.description:
row.update({str(col[0]): buff[c]})
c += 1
print(row["id"])
print(row["first_name"])
print(row["last_name"])

How to fetch data from postgresql using QLineEdit text() into QtableWidgit

I'm trying to fetch data from postgreSQL using if statement into QTableWidget, however when I'm applying variable and assigning null value(none), there is nothing showing in my table. And I cannot use where clause with QlineEdit. Is there any possible way to reproduce this code so it works properly?
def LoadData(self):
name = self.Name_search.text()
conn = psycopg2.connect(
database = "postgres",
user = "postgres",
password = "**********",
host = "localhost",
port = "5432"
)
if name is None:
with conn:
cur = conn.cursor()
rows = cur.execute("Select * from swimming_pool_users where name = '%s'",(name))
data = cur.fetchall()
for row in data:
self.AddTable(row)
cur.close()
def AddTable(self,columns):
rowPosition = self.tableWidget2.rowCount()
self.tableWidget2.insertRow(rowPosition)
for i, column in enumerate(columns):
self.tableWidget2.setItem(rowPosition, i, QtWidgets.QTableWidgetItem(str(column)))
def ClearTableData (self):
while (self.tableWidget2.rowCount() > 0):
self.tableWidget2.removeRow(0)

I really don't understand what do you want exactly, but this is an example of how to show data from postgresql database to a QtableWidgit
def exemple_Qtablewidgit(self):
connection = psycopg2.connect(user="postgres",
password="password",
host="localhost",
database="database")
self.cur = connection.cursor()
name = self.lineEdit.text()
self.cur.execute(''' SELECT * FROM exemple WHERE name =%s''', (name,))
data = self.cur.fetchall()
if data :
self.tableWidget.setRowCount(0)
self.tableWidget.insertRow(0)
for row, form in enumerate(data):
for column , item in enumerate(form):
self.tableWidget.setItem(row, column, QTableWidgetItem(str(item)))
column += 1
row_position = self.tableWidget.rowCount()
self.tableWidget_3.insertRow(row_position)

Python don't return data when joining two tables by a field

I've got a query that returns the data correctly in MySQL but in Python only returns part of the data.
The query is:
select sc.* from tbl030_shots_chart sc, tbl006_player_team tc where
sc.id_fiba = tc.id_player_feb and
tc.id_team_club = 5
This query in MySQL returns 1030 rows like you can see in this screen cap.
However, If I execute this query with python, I've got only 67 rows. This is my code:
connection = pymysql.connect(host = DDBB.DDBB_FIBA_HOST,
user = DDBB.DDBB_FIBA_USER,
password = DDBB.DDBB_FIBA_PSWD,
db = DDBB.DDBB_FIBA_NAME,
charset = DDBB.DDBB_FIBA_CHARSET,
cursorclass=pymysql.cursors.DictCursor)
with connection.cursor() as cursor:
totalRows = cursor.execute("select sc.* from tbl030_shots_chart sc, tbl006_player_team tc where sc.id_fiba = tc.id_player_feb and tc.id_team_club = %s", [5])
print("Total Rows: " + str(totalRows))
And this is the exit:
Why I've got les data from Python than MySQL?
These are the definition of the tables:
tbl030_shots_chart
tbl006_player_team
Edit I:
With inner join doesn't work in python but works in MySQL
However, with python, still returns 76 rows and not 1030 like MySQL.
connection = pymysql.connect(host = DDBB.DDBB_FIBA_HOST,
user = DDBB.DDBB_FIBA_USER,
password = DDBB.DDBB_FIBA_PSWD,
db = DDBB.DDBB_FIBA_NAME,
charset = DDBB.DDBB_FIBA_CHARSET,
cursorclass=pymysql.cursors.DictCursor)
with connection.cursor() as cursor:
totalRows = cursor.execute("select sc.* from tbl030_shots_chart as sc inner join tbl006_player_team as pt on sc.id_fiba = pt.id_player_feb and pt.id_team_club = %s", [5])
print("Total Rows: " + str(totalRows))
If I've got the total rows from the cursor with this code:
connection = pymysql.connect(host = DDBB.DDBB_FIBA_HOST,
user = DDBB.DDBB_FIBA_USER,
password = DDBB.DDBB_FIBA_PSWD,
db = DDBB.DDBB_FIBA_NAME,
charset = DDBB.DDBB_FIBA_CHARSET,
cursorclass=pymysql.cursors.DictCursor)
with connection.cursor() as cursor:
cursor.execute("select sc.* from tbl030_shots_chart as sc inner join tbl006_player_team as pt on sc.id_fiba = pt.id_player_feb and pt.id_team_club = %s", [5])
totalRows = cursor.rowcount
print("Total Rows: " + str(totalRows))
I've got 76 rows returned and not 1030.

You can try creating a view for this query.
CREATE VIEW your_view AS (
SELECT
t1.id,
t1.id_game,
t1.line,
...
t2.id_team_club,
t2.id_player_feb,
...
FROM tbl030_shots_chart t1
LEFT JOIN
tbl006_player_team t2
)
Then in your python code:
sql = 'SELECT * FROM your_view WHERE id_fiba =id_player_feb AND id_team_club = %s'
with connection.cursor() as cursor:
cursor.execute(sql, (5))

Try to use the cursor rowcount attribute:
with connection.cursor() as cursor:
cursor.execute("select sc.* from tbl030_shots_chart sc, tbl006_player_team tc where sc.id_fiba = tc.id_player_feb and tc.id_team_club = %s", [5])
totalRows=cursor.rowcount
print("Total Rows: " + str(totalRows))
In the .execute method there are no return values defined, so you can get anything.

How to get all the data for the current month in ms Access using python?

This is the picture of my data in access:
and below is the code for getting all the data:
def access():
l =[]
conn = pyodbc.connect(r'Driver={Microsoft Access Driver (*.mdb, *.accdb)};DBQ=C:\Users\GOBOTIX\Desktop\Try.mdb;')
cursor = conn.cursor()
cursor.execute('select * from Try')
for row in cursor.fetchall():
l.append(row)

Export Python Dataframe to SQL Table

I'm trying to export a python dataframe to a SQL Server table.
Is there a better way to do this? I'm getting errors.
Dataframe - results_out
Output SQL table - FraudCheckOutput
cnn_out = pyodbc.connect('driver={SQL Server};server=XYZ;database=BulkLog;uid=sa;pwd=test')
results_out.to_sql(con=cnn_out, name='FraudCheckOutput', if_exists='replace', flavor='sqlite_master')
Thanks.

Ok, this supposed to make the work done:
import pypyodbc
def database_insert(query, params=())
conn_params = 'driver={SQL Server};server=XYZ;database=BulkLog;uid=sa;pwd=test'
try:
conn = pypyodbc.connect(conn_params)
except pypyodbc.Error, e:
print str(e)
else:
if conn.connected:
db = conn.cursor()
db.execute(query, params).commit()
finally:
if conn:
conn.close()
SQL_INSERT_QUERY = """
INSERT INTO table_name (
[field_name1],
[field_name2]
)
VALUES (
1,
'vale string'
)
WHERE
field_name3 = ?
"""
database_insert(SQL_INSERT_QUERY, ('field_name3_value',))
in pyodbc usage is very similar
cnxn = pyodbc.connect('DRIVER={SQL Server};SERVER=localhost;DATABASE=testdb;UID=me;PWD=pass')
cursor = cnxn.cursor()
cursor.execute("insert into products(id, name) values ('pyodbc', 'awesome library')")
cnxn.commit()
more on http://code.google.com/p/pyodbc/wiki/GettingStarted