Here you can see the Python-code. As output then always appears: name 'Path' is not defined.
import tkinter as tk
from tkinter import filedialog
from tkinter import *
import pandas as pd
f = open("test_filedialog.txt", "w")
f.close()
def openfile():
Path=filedialog.askopenfilenames(title ="Datein auswählen", filetypes=[("CSV-Datein", "*.csv"),("alle Datein", "*.*")]).open("test_filedialog.txt", "w")
f = open("test_filedialog.txt", "w")
f.write(str(Path))
f.close()
x = tk.Tk()
title= x.title("Titelleiste")
label1=tk.Label(x, text="Hallo", width=25, height=5)
label1.pack()
button1=tk.Button (x, text="Exit",width= 10, height=1, command=x.destroy)
button1.pack()
button2=tk.Button (x, text= "open file", width= 15, height=2, command=openfile)
button2.pack()
x.mainloop()
#import matplotlib import pyplot as plt
daten=pd.read_csv(Path, header=None, sep=';',) #liest jetzt ausgewählte Spalten ein --> Die Frage ist wie wir das für Spaltenbereiche machen
df=daten.drop(range (2),axis=1)
new_header=df.iloc[0]
df=df[1:]
df.columns=new_header
auswahl=df.loc[:,158.936:159.01]
print(auswahl)
if __name__ == "__main__":
root = tkinter.Tk()
app = testApp(root)
root.mainloop()
`
I tried to define the 'Path' as an extra class. But unfortunately this did not lead to any result.
It would be nice if you have a solution for the problem. Maybe how to define the 'Path' as an extra class but also another solution would be ok :)
In python a variable defined inside a function does not have global scope. You shoud define a Path variable that is path to a csv file. You have error at line 38.
import pandas as pd
path = './data.csv' # path to csv file
df = pd.read_csv(path)
print(df.to_string())
Actually I should have tried to run the script.I have not fixed the error.
import tkinter as tk
from tkinter import filedialog
from tkinter import *
import pandas as pd
def read_csv(Path):
daten=pd.read_csv(Path, header=None, sep=',',)
print(daten)
# df=daten.drop(range (2),axis=1)
# new_header=df.iloc[0]
# df=df[1:]
# df.columns=new_header
# auswahl=df.loc[:,158.936:159.01]
# print(auswahl)
def openfile():
Path=filedialog.askopenfilenames(title ="Datein auswählen", filetypes=[("CSV-Datein", "*.csv"),("alle Datein", "*.*")])[0]
read_csv(Path) # do file operation in this function
x = tk.Tk()
title= x.title("Titelleiste")
label1=tk.Label(x, text="Hallo", width=25, height=5)
label1.pack()
button1=tk.Button (x, text="Exit",width= 10, height=1, command=x.destroy)
button1.pack()
button2=tk.Button (x, text= "open file", width= 15, height=2, command=openfile)
button2.pack()
x.mainloop()
#import matplotlib import pyplot as plt
if __name__ == "__main__":
root = tk()
# app = testApp(root)
root.mainloop()
The askopenfile function does not return an object but a tupple with file names. Also you should do file operations in openfile function. Hope it helps.
Related
I have this error :
No such file or directory: 'Survey.xlsx'
import pandas as pd
import streamlit as st
import plotly.express as px
from PIL import Image
st.set_page_config(page_title='Survey Results')
st.header('Survey Results 2021')
st.subheader('Was the tutorial helpful?')
### --- LOAD DATAFRAME
excel_file = 'Survey.xlsx'
sheet_name = 'DATA'
df = pd.read_excel(excel_file,
sheet_name=sheet_name,
usecols='B:D',
header=3)
df_participants = pd.read_excel(excel_file,
sheet_name= sheet_name,
usecols='F:G',
header=3)
df_participants.dropna(inplace=True)
What am I doing wrong that I can't find the file? The file is in the same folder as the script itself
I have a json file with lat/long coordinates, which I try to convert to UTM ("x", "y") in PySpark.
The .json file looks like this:
{"positionmessage":{"latitude": 51.822872161865234,"longitude": 4.905614852905273}}
{"positionmessage":{"latitude": 51.819644927978516, "longitude": 4.961687088012695}}
I read the json file in pyspark and try to convert to UTM ('x', 'y'-coord) in PySpark with the following script:
import numpy as np
from pyspark.sql import SparkSession
from pyspark.sql.types import ArrayType, StructField, StructType, StringType, IntegerType, DateType, FloatType, TimestampType, DoubleType
from pyspark.sql.functions import *
appName = "PySpark"
master = "local"
file_name = "lat_lon.JSON"
# Create Spark session
spark = SparkSession.builder \
.appName(appName) \
.master(master) \
.getOrCreate()
schema = StructType([
StructField("positionmessage",
StructType([
StructField('latitude', DoubleType(), True),
StructField('longitude', DoubleType(), True),
]))])
df = spark.read.schema(schema).json(file_name).select("positionmessage.*")
Until here no problem; the problem arises when I try to convert to UTM coordinates using the pyproj package (which worked in Pandas).
from pyspark.sql.functions import array, pandas_udf, PandasUDFType
from pyproj import Proj
from pandas import Series
# using decorator 'pandas_udf' to wrap the function.
#pandas_udf('array<double>', PandasUDFType.SCALAR)
def get_utm(x):
pp = Proj(proj='utm',zone=31,ellps='WGS84', preserve_units=False)
return Series([ pp(e[0], e[1]) for e in x ])
df = df.withColumn('utm', get_utm(array('longitude','latitude'))) \
.selectExpr("*", "utm[0] as X", "utm[1] as Y")
df.show()
I get the problem: " python worker failed to connect back", but there does not seem to be a problem with the code itself. What can the problem be?
You can use a plain UDF rather than Pandas UDF:
#udf(returnType=ArrayType(DoubleType()))
def get_utm(long, lat):
pp = Proj(proj='utm', zone=31, ellps='WGS84', preserve_units=False)
return pp(long, lat)
result = df.withColumn('utm', get_utm('longitude','latitude')).selectExpr("*", "utm[0] as X", "utm[1] as Y")
I have been attempting to download a plot created using plotly on google colaboratory. So far this is what I have attempted:
I have tried changing
files.download('foo.svg')
to
files.download('foo')
and I still get no results. I navigated to the files on Google colab and nothing shows there
import numpy as np
import pandas as pd
from plotly.offline import iplot
import plotly.graph_objs as go
from google.colab import files
def enable_plotly_in_cell():
import IPython
from plotly.offline import init_notebook_mode
display(IPython.core.display.HTML('''<script src="/static/components/requirejs/require.js"></script>'''))
init_notebook_mode(connected=False)
#this actually shows the plot
enable_plotly_in_cell()
N = 500
x = np.linspace(0, 1, N)
y = np.random.randn(N)
df = pd.DataFrame({'x': x, 'y': y})
df.head()
data = [
go.Scatter(
x=df['x'], # assign x as the dataframe column 'x'
y=df['y']
)
]
iplot(data,image = 'svg', filename = 'foo')
files.download('foo.svg')
This is the error I am getting:
OSErrorTraceback (most recent call last)
<ipython-input-18-31523eb02a59> in <module>()
29 iplot(data,image = 'svg', filename = 'foo')
30
---> 31 files.download('foo.svg')
32
/usr/local/lib/python2.7/dist-packages/google/colab/files.pyc in download(filename)
140 msg = 'Cannot find file: {}'.format(filename)
141 if _six.PY2:
--> 142 raise OSError(msg)
143 else:
144 raise FileNotFoundError(msg) # pylint: disable=undefined-variable
OSError: Cannot find file: foo.svg
To save vector or raster images (e.g. SVGs or PNGs) from Plotly figures you need to have Kaleido (preferred) or Orca (legacy) installed, which is actually possible using the following commands in Colab:
Kaleido:
!pip install kaleido
Orca:
!pip install plotly>=4.0.0
!wget https://github.com/plotly/orca/releases/download/v1.2.1/orca-1.2.1-x86_64.AppImage -O /usr/local/bin/orca
!chmod +x /usr/local/bin/orca
!apt-get install xvfb libgtk2.0-0 libgconf-2-4
Once either of the above is done you can use the following code to make, show and export a figure (using plotly version 4):
import plotly.graph_objects as go
fig = go.Figure( go.Scatter(x=[1,2,3], y=[1,3,2] ) )
fig.show()
fig.write_image("image.svg")
fig.write_image("image.png")
The files can then be downloaded with:
from google.colab import files
files.download('image.svg')
files.download('image.png')
Try this, it does work for me:
import plotly.graph_objects as go
fig = go.Figure(...) # plot your fig
go.Figure.write_html(fig,"file.html") # write as html or image
files.download("file.html") # download your file and give me a vote my answer
I'm trying to run a code from github that uses Python to classify images but I'm getting an error.
here is the code:
import argparse as ap
import cv2
import imutils
import numpy as np
import os
from sklearn.svm import LinearSVC
from sklearn.externals import joblib
from scipy.cluster.vq import *
# Get the path of the testing set
parser = ap.ArgumentParser()
group = parser.add_mutually_exclusive_group(required=True)
group.add_argument("-t", "--testingSet", help="Path to testing Set")
group.add_argument("-i", "--image", help="Path to image")
parser.add_argument('-v',"--visualize", action='store_true')
args = vars(parser.parse_args())
# Get the path of the testing image(s) and store them in a list
image_paths = []
if args["testingSet"]:
test_path = args["testingSet"]
try:
testing_names = os.listdir(test_path)
except OSError:
print "No such directory {}\nCheck if the file exists".format(test_path)
exit()
for testing_name in testing_names:
dir = os.path.join(test_path, testing_name)
class_path = imutils.imlist(dir)
image_paths+=class_path
else:
image_paths = [args["image"]]
and this is the error message I'm getting
usage: getClass.py [-h]
(- C:/Users/Lenovo/Downloads/iris/bag-of-words-master/dataset/test TESTINGSET | - C:/Users/Lenovo/Downloads/iris/bag-of-words-master/dataset/test/test_1.jpg IMAGE)
[- C:/Users/Lenovo/Downloads/iris/bag-of-words-master/dataset]
getClass.py: error: one of the arguments - C:/Users/Lenovo/Downloads/iris/bag-of-words-master/dataset/test/--testingSet - C:/Users/Lenovo/Downloads/iris/bag-of-words-master/dataset/test/test_1.jpg/--image is required
can you please help me with this? where and how should I write the file path?
This is an error your own program is issuing. The message is not about the file path but about the number of arguments. This line
group = parser.add_mutually_exclusive_group(required=True)
says that only one of your command-line arguments (-t, -i) is permitted. But it appears from the error message that you are supplying both --testingSet and --image on your command line.
Since you only have 3 arguments, I have to wonder if you really need argument groups at all.
To get your command line to work, drop the mutually-exclusive group and add the arguments to the parser directly.
parser.add_argument("-t", "--testingSet", help="Path to testing Set")
parser.add_argument("-i", "--image", help="Path to image")
parser.add_argument('-v',"--visualize", action='store_true')
I'm having problems compiling an executable for an application I made using:
- Python 3.3
- PyQT5
- Matplotlib
I tried using Cx_Freeze with this setup.py:
import sys
from cx_Freeze import setup, Executable
includes = ['sys','PyQt5.QtCore','PyQt5.QtGui', 'PyQt5.QtWidgets','matplotlib']
excludes = []
packages = []
path = []
base = None
if sys.platform == 'win32':
base = 'Win32GUI'
options = {
'build_exe': {
"includes": includes,
"excludes": excludes,
"packages": packages,
"path": path
#'excludes': ['Tkinter'] # Sometimes a little finetuning is needed
}
}
executables = [Executable('pyqt5_matplotlib.py', base=base)]
setup(name='pyqt5_matplotlib',
version='0.1',
description='Sample PyQT5-matplotlib script',
executables=executables,
options=options
)
When running setup.py build a folder containing various dlls and the exe is created, no error at this time.
When running the exe thus created I get this error:
http://i.stack.imgur.com/D0nsq.jpg
Can anyone please help me?
For the purpose of this question I will include a sample main script that when built reproduces the error:
# #author: Sukhbinder Singh
#
# Simple QTpy and MatplotLib example with Zoom/Pan
#
# Built on the example provided at
# How to embed matplotib in pyqt - for Dummies
#
# http://stackoverflow.com/questions/12459811/how-to-embed-matplotib-in-pyqt-for-dummies
#
# """
import sys
from PyQt5.QtWidgets import (QApplication, QCheckBox, QColorDialog, QDialog,
QErrorMessage, QFileDialog, QFontDialog, QFrame, QGridLayout,
QInputDialog, QLabel, QLineEdit, QMessageBox, QPushButton, QWidget, QVBoxLayout )
from PyQt5.QtCore import pyqtSlot, QDir, Qt
from PyQt5 import QtGui
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt5agg import NavigationToolbar2QTAgg as NavigationToolbar
import matplotlib.pyplot as plt
import numpy
import random
class Window(QDialog):
def __init__(self, parent=None):
super(Window, self).__init__(parent)
self.figure = plt.figure()
self.canvas = FigureCanvas(self.figure)
self.toolbar = NavigationToolbar(self.canvas, self)
#self.toolbar.hide()
# Just some button
self.button = QPushButton('Plot')
self.button.clicked.connect(self.plot)
self.button1 = QPushButton('Zoom')
self.button1.clicked.connect(self.zoom)
self.button2 = QPushButton('Pan')
self.button2.clicked.connect(self.pan)
self.button3 = QPushButton('Home')
self.button3.clicked.connect(self.home)
# set the layout
layout = QVBoxLayout()
layout.addWidget(self.toolbar)
layout.addWidget(self.canvas)
layout.addWidget(self.button)
layout.addWidget(self.button1)
layout.addWidget(self.button2)
layout.addWidget(self.button3)
self.setLayout(layout)
def home(self):
self.toolbar.home()
def zoom(self):
self.toolbar.zoom()
def pan(self):
self.toolbar.pan()
def plot(self):
#''' plot some random stuff '''
#data = [random.random() for i in range(25)]
data_matrix = numpy.random.random((256,256))
ax = self.figure.add_subplot(111)
ax.hold(False)
#ax.plot(data, '*-')
ax.imshow(data_matrix)
self.canvas.draw()
if __name__ == '__main__':
app = QApplication(sys.argv)
main = Window()
main.setWindowTitle('Simple QTpy and MatplotLib example with Zoom/Pan')
main.show()
sys.exit(app.exec_())
After a more in depth research I did the following:
Installed PyWin32
Installed beta release of cx_Freeze (might not be necessary) https://bitbucket.org/anthony_tuininga/cx_freeze/downloads
edited python33/Lib/site-packages/matplotlib/mpl-data/matplotlibrc so that line 32:
backend: tkAgg
becomes
backend: Agg
last source was ImportError: No module named backend_tkagg
This solution works on Win 7 64bit with Python3.3 for a single window PyQT5 with Matplotlib backends.