I created a Windows .exe file from a python script using PyInstaller but when I launch the executable I get the error: AttributeError: 'ApplicationLogin' object has no attribute 'img_location'. However, running the same script from the terminal it works without issues.
Below is the piece of the code where the error is detected. The python version I used is 3.9.10
import os
from PyQt5.QtWidgets import QWidget, QDialog, QMessageBox
from PyQt5.QtCore import pyqtSignal
from PyQt5.QtGui import QPixmap
from preventivo_config_file import Preventivo_Config
from password_edit import PasswordEdit
from gestione_utenti import UserMng
from menu_preventivo import PreventivoMenu
from preventivo_login_dialogUi import Ui_f_login_dialog
class ApplicationLogin(QDialog, Ui_f_login_dialog):
closed = pyqtSignal()
login = pyqtSignal()
def __init__(self):
super(ApplicationLogin, self).__init__()
self.read_configFile()
self.setup_login()
def read_configFile(self):
prev_config=Preventivo_Config("preventivo_config")
parametri=prev_config.preventivo_config_records()
if not parametri:
return
self.img_location=parametri['images']
self.icons_location=parametri['icons']
def setup_login(self):
self.setupUi(self)
pixmap = self.caricamento_immagini("mx1.png")
I tried to look on the web for similar issue but I didn't find any hint
I'm trying to use a julia function from a streamlit app. Created a toy example to test the interaction, simply returning a matrix from a julia functions based on a single parameter to specify the value of the diagonal elements.
Will also note at the outset that both julia_import_method = "api_compiled_false" and julia_import_method = "main_include" works when importing the function in Spyder IDE (rather than at the command line to launch the streamlit app via streamlit run streamlit_julia_test.py).
My project directory looks like:
├── my_project_directory
│ ├── julia_test.jl
│ └── streamlit_julia_test.py
The julia function is in julia_test.jl and just simply returns a matrix with diagonals specified by the v parameter:
function get_matrix_from_julia(v::Int)
m=[v 0
0 v]
return m
end
The streamlit app is streamlit_julia_test.py and is defined as:
import os
from io import BytesIO
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import streamlit as st
# options:
# main_include
# api_compiled_false
# dont_import_julia
julia_import_method = "api_compiled_false"
if julia_import_method == "main_include":
# works in Spyder IDE
import julia
from julia import Main
Main.include("julia_test.jl")
elif julia_import_method == "api_compiled_false":
# works in Spyder IDE
from julia.api import Julia
jl = Julia(compiled_modules=False)
this_dir = os.getcwd()
julia_test_path = """include(\""""+ this_dir + """/julia_test.jl\"""" +")"""
print(julia_test_path)
jl.eval(julia_test_path)
get_matrix_from_julia = jl.eval("get_matrix_from_julia")
elif julia_import_method == "dont_import_julia":
print("Not importing ")
else:
ValueError("Not handling this case:" + julia_import_method)
st.header('Using Julia in Streamlit App Example')
st.text("Using Method:" + julia_import_method)
matrix_element = st.selectbox('Set Matrix Diagonal to:', [1,2,3])
matrix_numpy = np.array([[matrix_element,0],[0,matrix_element]])
col1, col2 = st.columns([4,4])
with col1:
fig, ax = plt.subplots(figsize=(5,5))
sns.heatmap(matrix_numpy, ax = ax, cmap="Blues",annot=True)
ax.set_title('Matrix Using Python Numpy')
buf = BytesIO()
fig.savefig(buf, format="png")
st.image(buf)
with col2:
if julia_import_method == "dont_import_julia":
matrix_julia = matrix_numpy
else:
matrix_julia = get_matrix_from_julia(matrix_element)
fig, ax = plt.subplots(figsize=(5,5))
sns.heatmap(matrix_julia, ax = ax, cmap="Blues",annot=True)
ax.set_title('Matrix from External Julia Script')
buf = BytesIO()
fig.savefig(buf, format="png")
st.image(buf)
If the app were working correctly, it would look like this (which can be reproduced by setting the julia_import_method = "dont_import_julia" on line 13):
Testing
When I try julia_import_method = "main_include", I get the well known error:
julia.core.UnsupportedPythonError: It seems your Julia and PyJulia setup are not supported.
Julia executable:
julia
Python interpreter and libpython used by PyCall.jl:
/Users/myusername/opt/anaconda3/bin/python3
/Users/myusername/opt/anaconda3/lib/libpython3.9.dylib
Python interpreter used to import PyJulia and its libpython.
/Users/myusername/opt/anaconda3/bin/python
/Users/myusername/opt/anaconda3/lib/libpython3.9.dylib
Your Python interpreter "/Users/myusername/opt/anaconda3/bin/python"
is statically linked to libpython. Currently, PyJulia does not fully
support such Python interpreter.
The easiest workaround is to pass `compiled_modules=False` to `Julia`
constructor. To do so, first *reboot* your Python REPL (if this happened
inside an interactive session) and then evaluate:
>>> from julia.api import Julia
>>> jl = Julia(compiled_modules=False)
Another workaround is to run your Python script with `python-jl`
command bundled in PyJulia. You can simply do:
$ python-jl PATH/TO/YOUR/SCRIPT.py
See `python-jl --help` for more information.
For more information, see:
https://pyjulia.readthedocs.io/en/latest/troubleshooting.html
As suggested, when I set julia_import_method = "api_compiled_false", I get a seg fault:
include("my_project_directory/julia_test.jl")
2022-04-03 10:23:13.406 Traceback (most recent call last):
File "/Users/myusername/opt/anaconda3/lib/python3.9/site-packages/streamlit/script_runner.py", line 430, in _run_script
exec(code, module.__dict__)
File "my_project_directory/streamlit_julia_test.py", line 25, in <module>
jl = Julia(compiled_modules=False)
File "/Users/myusername/.local/lib/python3.9/site-packages/julia/core.py", line 502, in __init__
if not self.api.was_initialized: # = jl_is_initialized()
File "/Users/myusername/.local/lib/python3.9/site-packages/julia/libjulia.py", line 114, in __getattr__
return getattr(self.libjulia, name)
File "/Users/myusername/opt/anaconda3/lib/python3.9/ctypes/__init__.py", line 395, in __getattr__
func = self.__getitem__(name)
File "/Users/myuserame/opt/anaconda3/lib/python3.9/ctypes/__init__.py", line 400, in __getitem__
func = self._FuncPtr((name_or_ordinal, self))
AttributeError: dlsym(0x21b8e5840, was_initialized): symbol not found
signal (11): Segmentation fault: 11
in expression starting at none:0
Allocations: 35278345 (Pool: 35267101; Big: 11244); GC: 36
zsh: segmentation fault streamlit run streamlit_julia_test.py
I've also tried the alternative recommendation provided in the PyJulia response message regarding the use of:
python-jl my_project_directory/streamlit_julia_test.py
But I get this error when running the python-jl command:
INTEL MKL ERROR: dlopen(/Users/myusername/opt/anaconda3/lib/libmkl_intel_thread.1.dylib, 0x0009): Library not loaded: #rpath/libiomp5.dylib
Referenced from: /Users/myusername/opt/anaconda3/lib/libmkl_intel_thread.1.dylib
Reason: tried: '/Applications/Julia-1.7.app/Contents/Resources/julia/bin/../lib/libiomp5.dylib' (no such file), '/usr/local/lib/libiomp5.dylib' (no such file), '/usr/lib/libiomp5.dylib' (no such file).
Intel MKL FATAL ERROR: Cannot load libmkl_intel_thread.1.dylib.
So I'm stuck, thanks in advance for a modified reproducible example or instructions for the following system specs!
System specs:
Mac OS Monterey 12.2.1 (Chip - Mac M1 Pro)
Python 3.9.7
Julia 1.7.2
PyJulia 0.5.8.dev
Streamlit 1.7.0
yes we can use it streamlit_julia_test.py NumPy for instance
I'm trying to import classes in external jar with PySpark, I'm running the spark-shell with --jars and the path to the jar that contains the classes I want to use.
However, when I import a class inside my code, the namespace is not found:
from io.warp10.spark import WarpScriptFilterFunction
The error:
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
Traceback (most recent call last):
File "warp10-test.py", line 1, in <module>
from io.warp10.spark import WarpScriptFilterFunction
ImportError: No module named warp10.spark
You have to use a WarpScript™ UDF if you want to run warpscript on Spark.
Here is an example:
from pyspark.sql import SparkSession
from pyspark.sql import SQLContext
from pyspark.sql.types import StringType
from pyspark.sql.types import ArrayType
spark = SparkSession.builder.appName("WarpScript Spark Test").getOrCreate()
sc = spark.sparkContext
sqlContext = SQLContext(sc)
sqlContext.registerJavaFunction("foo", "io.warp10.spark.WarpScriptUDF3", ArrayType(StringType()))
print sqlContext.sql("SELECT foo('SNAPSHOT \"Easy!\"', 3.14, 'pi')").collect()
For more information, see: https://www.warp10.io/content/05_Ecosystem/04_Data_Science/06_Spark/02_WarpScript_PySpark
I'm trying to convert R-dataframe to Python Pandas DataFrame.
I use the following code:
from rpy2.robjects import pandas2ri
pandas2ri.activate()
r_dataframe = r_function(my_dataframe['Numbers'])
print(r_dataframe)
python_dataframe = pandas2ri.ri2py(r_dataframe)
The above code works well in Jupyter Notebook (Anaconda). But if I run this code through a my_program.py file through the terminal, I get an error:
:~$ python3 my_program.py
Traceback (most recent call last):
File "my_program.py", line 223, in <module>
python_dataframe = pandas2ri.ri2py(r_dataframe)
AttributeError: module 'rpy2.robjects.pandas2ri' has no attribute 'ri2py'
Line of code: print(r_dataframe) shows right result in the terminal.
If I try to use code print(dir(pandas2ri)) in Jupyter Notebook I get ('ri2py'):
['DataFrame', 'FactorVector', 'FloatSexpVector', 'INTSXP', 'ISOdatetime', 'IntSexpVector', 'IntVector', 'ListSexpVector', 'ListVector', 'OrderedDict', 'POSIXct', 'PandasDataFrame', 'PandasIndex', 'PandasSeries', 'SexpVector', 'StrSexpVector', 'StrVector', 'Vector', '__builtins__', '__cached__', '__doc__', '__file__', '__loader__', '__name__', '__package__', '__spec__', 'activate', 'as_vector', 'conversion', 'converter', 'datetime', 'deactivate', 'dt_O_type', 'dt_datetime64ns_type', 'get_timezone', 'numpy', 'numpy2ri', 'original_converter', 'os', 'pandas', 'py2ri', 'py2ri_categoryseries', 'py2ri_pandasdataframe', 'py2ri_pandasindex', 'py2ri_pandasseries', 'py2ro', 'pytz', 'recarray', 'ri2py', 'ri2py_dataframe', 'ri2py_floatvector', 'ri2py_intvector', 'ri2py_listvector', 'ri2py_vector', 'ri2ro', 'rinterface', 'ro', 'warnings']
And if I try to use the same code print(dir(pandas2ri)) in Terminal I get ('rpy2py'):
['DataFrame', 'FactorVector', 'FloatSexpVector', 'ISOdatetime', 'IntSexpVector', 'IntVector', 'ListSexpVector', 'OrderedDict', 'POSIXct', 'PandasDataFrame', 'PandasIndex', 'PandasSeries', 'Sexp', 'SexpVector', 'StrSexpVector', 'StrVector', '__builtins__', '__cached__', '__doc__', '__file__', '__loader__', '__name__', '__package__', '__spec__', 'activate', 'as_vector', 'conversion', 'converter', 'datetime', 'deactivate', 'default_timezone', 'dt_O_type', 'get_timezone', 'is_datetime64_any_dtype', 'numpy', 'numpy2ri', 'original_converter', 'pandas', 'py2rpy', 'py2rpy_categoryseries', 'py2rpy_pandasdataframe', 'py2rpy_pandasindex', 'py2rpy_pandasseries', 'pytz', 'ri2py_vector', 'rinterface', 'rpy2py', 'rpy2py_dataframe', 'rpy2py_floatvector', 'rpy2py_intvector', 'rpy2py_listvector', 'tzlocal', 'warnings']
It turns out the developers have changed the name of the functions.
Since no one bothered to write down the way to do it with newer versions of rpy2:
Conversion is done using a localconverter block which automatically converts from pandas dataframe to r dataframe and back.
import pandas as pd
import rpy2.robjects as ro
from rpy2.robjects.packages import importr
from rpy2.robjects import pandas2ri
from rpy2.robjects.conversion import localconverter
pd_df = pd.DataFrame({'int_values': [1,2,3],
'str_values': ['abc', 'def', 'ghi']})
base = importr('base')
with localconverter(ro.default_converter + pandas2ri.converter):
df_summary = base.summary(pd_df)
You are likely using documentation/code written for a different version of rpy2 than what you have installed.
If using the latest release, consider checking the documentation for it:
https://rpy2.github.io/doc/v3.0.x/html/generated_rst/pandas.html
For anyone having issues with localconverter, here is an alternative way to convert a df of type rpy2.robjects.vectors.ListVector to a pandas dataframe. This solution drops columns names
pd.Dataframe(np.array(df).reshape((nrows, ncols)))
I'm trying to use QtSerialPort for a PyQt5 project but haven't found the magic. Right now the code seems to be opening the port but I'm getting "QSocketNotifier: Invalid socket specified" error whenever I try to write to the port. Here's the latest code:
#!/usr/bin/env python3
from PyQt5 import QtGui, QtCore, QtWidgets
from PyQt5.QtSerialPort import QSerialPort, QSerialPortInfo
class QtSerialTest():
def __init__(self):
super(QtSerialTest, self).__init__()
self.serinfo = QSerialPortInfo()
p = self.serinfo.availablePorts()
for pport in p:
print(pport.portName())
portname = p[0].portName()
self.ser = QSerialPort(portname)
self.ser.setBaudRate(9600)
print(self.ser.isOpen())
self.ser.setOpenMode(QSerialPort.ReadWrite)
print(self.ser.isOpen())
self.ser.writeData(b'Test')
if __name__=='__main__':
ser = QtSerialTest()
The output from this code on my machine is:
ttyUSB0
ttyUSB1
ttyUSB2
ttyUSB3
ttyUSB4
ttyUSB5
ttyUSB6
ttyUSB7
False
True
QSocketNotifier: Invalid socket specified
Any idea what is causing the QSocketNotifier error, or how to troubleshoot it? If you run this code do you get the same error?