I try to save my output as csv using the "import csv" and only get errors. Any reason why?
Since I can not make it run will it also notify if the file already exists?
Thanks a lot
from tkinter import *
from tkinter.filedialog import asksaveasfilename
from tkinter import ttk
import csv
def data():
...
output= <class 'list'> #just an example
...
def savefile():
name= asksaveasfilename()
create = csv.writer(open(name, "wb"))
create.writerow(output)
for x in output:
create.writerow(x)
root = Tk()
Mframe = ttk.Frame(root)
Mframe.grid(column=0, row=0, sticky=(N, W, E, S))
bSave=ttk.Button(Mframe, text='Save File', command=savefile)
bSave.grid(column=1, row=0)
root.mainloop()
You are opening the file, but not closing it. A good practise is to use a with statement make sure you close it. By the way, I don't know how is the output list, but if it isn't a list of lists, it makes more sense to me to call writerow once.
Besides, make sure this list is also a global variable, otherwise it won't be available within the scope of savefile. However, global variables are not a very good solution, so consider to pass it as an argument to savefile or use a class to hold all this data:
def savefile():
name = asksaveasfilename()
with open(name, 'w', newline='') as csvfile:
create = csv.writer(csvfile)
create.writerow(output)
Related
I have a shared library file (windows DLL) that contains about 50 functions. The functions in the DLL have return values and arguments that need to be configured using .argtypes and .restype. I want to create a module that I can import into my python programs that does the configuration. For example -- the following code works fine in my program (Open, Close, Save are example functions of "mydll":
import ctypes as ct
mylib = ct.cdll.LoadLibrary("mydll")
mylib.Open.argtypes = [ct.c_char_p]
mylib.Open.restype = ct.c_int
mylib.Close.argtypes = [ct.c_int]
mylib.Close.restype = ct.c_int
mylib.Save.argtypes = [ct.c_int]
mylib.Save.restype = ct.c_int
#continue for 50 or so more functions
I would like to create a package or module that I can import for this code, instead of including it at the beginning of each program that will use "mydll". What is the correct approach in Python?
I was able to resolve this by writing a binding.py file that includes a function for each function in the library, mydll.
So binding.py looks like this:
import ctypes as ct
mylib = ct.cdll.LoadLibrary("mydll")
def func1():
mylib.func1().argtypes = [ct.c_char_p]
mylib.func1().restype = ct.c_int
return mylib.func1()
def func2():
mylib.func2().argtypes = [ct.c_int, ct.c_char_p, ct.POINTER(ct.c_double)]
mylib.func2().restype = ct.c_int
return mylib.func2()
def func3():
mylib.func3().argtypes = []
mylib.func3().restype = ct.c_int
return mylib.func3()
The fundamental data types for the argument and return values can be found here:
[cytpes fundamental data types][1]
[1]: https://docs.python.org/3/library/ctypes.html
I hope you can help me with my Issue. I connected python to my database using pyodbc and I think I was able to save the data into a pandas Dataframe, but unfortunatly I cant work with the Dataframe (for example simply print it) aftertwards.
The error Message says "undefined name "DataFrame"".
How do I need to change my Code so I can get the data from MySQL and use the Dataframe afterwards regularly.
Just as a side Information I want to calculate with the dataframe a little using pandas (optional) and then create a plot using Plotnine and add a UI later. just in Case that matters.
#This function I call
def SQLtoPandas(Connection,SQLString,DataFrame):
DataFrame = pd.DataFrame(
pd.read_sql(SQLString,
con=Connection)
)
#If i call this function it works just fine
def SQL_ReadFunction(Connection,SQLString):
cursor=Connection.cursor()
cursor.execute(
SQLString
)
rows = cursor.fetchall()
for row in rows:
print(row)
SQLString = 'select * from employees'
SQL_ReadFunction(Connection,SQLString)
Connection.close
#Doesnt work, moving it inside the connection also doesnt help.
print (DataFrame)
you don't need additional function for this. just use
df=pd.read_sql('select * from employees',con=con)
print(df)
and manipulate df as you wish using pandas.
i would reccomend using jupyter notebook as it displays dataframe nicely.
also note pd.read_sql() already returns pandas DataFrame, no need to reconvert
You have a few things to take care:
Your function can directly have pd.read_sql as it will load your table as a dataframe. You do not need an extra pd.DataFrame.
You have to print your dataframe inside the function, or assign the dataframe outside like df = SQLtoPandas(Connection,SQLString) and have a return df inside your function
Avoid using the keyword DataFrame to name your DataFrame, use df or something else that is not reserved.
Method 1:
Inside your function:
def SQLtoPandas(Connection,SQLString):
df= pd.read_sql(SQLString, con=Connection)
print(df)
Now call your function outside:
SQLtoPandas(Connection, SQLString)
Method 2:
Inside your function:
def SQLtoPandas(Connection,SQLString):
df = pd.read_sql(SQLString, con=Connection)
return df
Now outside your function do:
df = SQLtoPandas(Connection, SQLString)
print(df)
I need some help, I trying to update the etcprice label value after I push the button and after every 5 seconds, in terminal works, but in tk window not. I stucked here :( please, help me.
I tried to setup the "price" to "StringVar()" but in that case I got a lot of errors.
Many thanks
import urllib.request
from urllib.request import *
import json
import six
from tkinter import *
import tkinter as tk
import threading
price = '0'
def timer():
threading.Timer(5.0, timer).start()
currentPrice()
def currentPrice():
url = 'https://api.cryptowat.ch/markets/bitfinex/ethusd/price'
json_obj = urllib.request.urlopen(url)
data = json.load(json_obj)
for item, v in six.iteritems(data['result']):
# print("ETC: $", v)
price = str(v)
# print(type(etcar))
print(price)
return price
def windows():
root = Tk()
root.geometry("500x200")
kryptoname = Label(root, text="ETC price: ")
kryptoname.grid(column=0, row=0)
etcprice = Label(root, textvariable=price)
etcprice.grid(column=1, row=0)
updatebtn = Button(root, text="update", command=timer)
updatebtn.grid(column=0, row=1)
root.mainloop()
windows()
The solution was: I created a new String variable called “b” and I changed the etcprice Label variable to this.
After I added this b.set(price) in currentPrice() def: and is working.
The price variable is a global - if you're trying to change it, you need to do so explicitly:
def currentPrice():
global price
url = 'https://api.cryptowat.ch/markets/bitfinex/ethusd/price'
json_obj = urllib.request.urlopen(url)
data = json.load(json_obj)
for item, v in six.iteritems(data['result']):
# print("ETC: $", v)
price = str(v)
# print(type(etcar))
print(price)
return price
otherwise, Python will 'mirror' it as a local variable inside the function, and not modify the global.
It's not a good idea to keep on launching more and more threads each time you click the button - so:
updatebtn = Button(root, text="update", command=currentPrice)
probably makes more sense.
You don't need to use threads here, just to call functions 'in the background'. You can use tkinter's own .after function instead to delay caling functions. (it uses milliseconds, not float second values, btw)
def timer(delay_ms, root, func):
func()
root.after(delay_ms, timer, root, func)
might be a helpful kind of function.
Then before you launch your mainloop, or whenever you want the getting to start, call it once:
timer(5000, root, currentPrice)
If you want the currentPrice function to run in a separate thread, and so not block your main GUI thread if there is network lag, for instance, then you can use threads more like this:
Thread(target=currentPrice, daemon=True).start()
which will run it in a daemon-thread - which will automatically get killed if you close the program, or ctrl-c it, or whatever. So you could put that line in a getCurrentPriceBG or similar function.
Is it possible to read and access the solver properties in Pycaffe?
I need to use some of the information stored in the solver file, but apparently the solver object which is created using
import caffe
solver = caffe.get_solver(solver_path)
is of no use in this case. Is there any other way to get around this problem?
I couldn't find what I was after using solver object and I ended up writing a quick function to get around this issue:
def retrieve_field(solver_path, field=None):
'''
Returns a specific solver parameter value using the specified field
or the whole content of the solver file, when no field is provided.
returns:
a string, as a field value or the whole content as list
'''
lines = []
field_segments = []
with open(solver_path, 'r') as file:
for line in file:
line = line.strip()
lines.append(line)
field_segments = line.split(':')
if (field_segments[0] == field):
#if that line contains # marks (for comments)
if('#' in field_segments[-1]):
idx = field_segments[-1].index('#')
return field_segments[-1][0:idx]
else:
return field_segments[-1]
return lines
I have a IronPython script I use to export all my data tables from a Spotfire project.
Currently it works perfectly. It loops through all datatables and exports them as ".xlsx". Now I need to export the files as ".csv" which I thought would be as simple as changing ".xlsx" to ".csv".
This script still exports the files, names them all .csv, but what is inside the file is a .xlsx, Im not sure how or why. The code is just changing the file extension name but not converting the file to csv.
Here is the code I am currently using:
I have posted the full code at the bottom, and the code I believe is relevant to my question in a separate code block at the top.
if(dialogResult == DialogResult.Yes):
for d in tableList: #cycles through the table list elements defined above
writer = Document.Data.CreateDataWriter(DataWriterTypeIdentifiers.ExcelXlsDataWriter)
table = Document.Data.Tables[d[0]] #d[0] is the Data Table name in the Spotfire project (defined above)
filtered = Document.ActiveFilteringSelectionReference.GetSelection(table).AsIndexSet() #OR pass the filter
stream = File.OpenWrite(savePath+'\\'+ d[1] +".csv") #d[1] is the Excel alias name. You could also use d.Name to export with the Data Table name
names = []
for col in table.Columns:
names.append(col.Name)
writer.Write(stream, table, filtered, names)
stream.Close()
I think it may have to do with the ExcelXlsDataWriter.
I tried with ExcelXlsxDataWriter as well. Is there a csv writer I could use for this? I believe csv and txt files have a different writer.
Any help is appreciated.
Full script shown below:
import System
import clr
import sys
clr.AddReference("System.Windows.Forms")
from sys import exit
from System.Windows.Forms import FolderBrowserDialog, MessageBox, MessageBoxButtons, DialogResult
from Spotfire.Dxp.Data.Export import DataWriterTypeIdentifiers
from System.IO import File, FileStream, FileMode
#This is a list of Data Tables and their Excel file names. You can see each referenced below as d[0] and d[1] respectively.
tableList = [
["TestTable1"],
["TestTable2"],
]
#imports the location of the file so that there is a default place to put the exports.
from Spotfire.Dxp.Application import DocumentMetadata
dmd = Application.DocumentMetadata #Get MetaData
path = str(dmd.LoadedFromFileName) #Get Path
savePath = '\\'.join(path.split('\\')[0:-1]) + "\\DataExports\\"
dialogResult = MessageBox.Show("The files will be save to "+savePath
+". Do you want to change location?"
, "Select the save location", MessageBoxButtons.YesNo)
if(dialogResult == DialogResult.Yes):
# GETS THE FILE PATH FROM THE USER THROUGH A FILE DIALOG instead of using the file location
SaveFile = FolderBrowserDialog()
SaveFile.ShowDialog()
savePath = SaveFile.SelectedPath
#message making sure that the user wants to exporthe files.
dialogResult = MessageBox.Show("Export Files."
+" Export Files","Are you sure?", MessageBoxButtons.YesNo)
if(dialogResult == DialogResult.Yes):
for d in tableList: #cycles through the table list elements defined above
writer = Document.Data.CreateDataWriter(DataWriterTypeIdentifiers.ExcelXlsDataWriter)
table = Document.Data.Tables[d[0]] #d[0] is the Data Table name in the Spotfire project (defined above)
filtered = Document.ActiveFilteringSelectionReference.GetSelection(table).AsIndexSet() #OR pass the filter
stream = File.OpenWrite(savePath+'\\'+ d[1] +".csv") #d[1] is the Excel alias name. You could also use d.Name to export with the Data Table name
names = []
for col in table.Columns:
names.append(col.Name)
writer.Write(stream, table, filtered, names)
stream.Close()
#if the user doesn't want to export then he just gets a message
else:
dialogResult = MessageBox.Show("ok.")
For some reason the Spotfire Iron Python implementation does not support the csv package implemented in Python.
The workaround I found to your implementation is using StdfDataWriter instead of ExcelXsDataWriter. The STDF data format is the Spotfire Text Data Format. The DataWriter class in Spotfire supports only Excel and STDF (see here) and STDF comes closest to CSV.
from System.IO import File
from Spotfire.Dxp.Data.Export import DataWriterTypeIdentifiers
writer = Document.Data.CreateDataWriter(DataWriterTypeIdentifiers.StdfDataWriter)
table = Document.Data.Tables['DropDownSelectors']
filtered = Document.ActiveFilteringSelectionReference.GetSelection(table).AsIndexSet()
stream = File.OpenWrite("C:\Users\KLM68651\Documents\dropdownexport.stdf")
names =[]
for col in table.Columns:
names.append(col.Name)
writer.Write(stream, table, filtered, names)
stream.Close()
Hope this helps