I'm sharing an experience that might save some time to other users some day in the future.
It happened while reading a list of .xls files in python/pandas to append them to dataframe. The code is below. If a file in the list is missing the code will notice with a try/except. One of these files is named 'CON.xls' and the file was missing.
When the loop was executed the try/except apparently does not work. The program is on hold and nothing happen. This is only when the file is named 'CON.xls'. The code was OK with all the other file names in the list.
I then tried to create a 'CON.xls' file saving it directly from excel and even excel refused to accept the name. 'CON.xls' is a reserved file name.
Try/except was apparently not detecting this kind of issue or was not the right way in this case:
def db_to_df(list_of_file_names):
return_df=pd.DataFrame([])
for file_name in list_of_file_names:
try:
df=pd.DataFrame([])
df=pd.read_excel(file_name+'.xls')
return_df = pd.concat([return_df, df])
print('\tFile added: ', file_name)
except:
print('\nERROR: ', file_name,'\n')
return(return_df)
The above with WIN7 and a very old 2003 xls, not sure with other versions.
Related
I am facing a problem related to reading an Excel file using pandas which I have not been able to solve yet. The file
The file has several sheets, so I have written a function for each of them, what I aim is to automatize the splitting and saving for each of the sheets I am interested in.
The problem is that choosing encoding URT-8 I am not able to read the special characters we have in the Spanish dictionary such as:á, é, í, ó, ú, or ñ. I had a similar issue reading a CSV, which I solved using encoding Latin-1 and engine python. However, it seems I cannot use either this encoding or the engine since it is Excel file (I might be wrong, but I haven't been able to run the chunk because it throws me an error).
Here is the code ( I'm just writing one of the functions since they are pretty much the same, the only thing that changes are the directories):
# I am joining the path and the path and the name of the excel I have previously written
path_final = os.path.join(path, excel)
# Reading the excel choosing the sheet I want:
df_employees = pd.read_excel(path_final, sheetname='General (employees&interns)', encoding='UTF-8')
# Path to the directory I want to save the CSV in.
employees_path = General/03 HR Analytics/01. Dashboard/'+ year +'/'+ month +'/Processed/Employees/'
# We save it, with the name and format
df_employees.to_csv(employees_path +"HR_Data_Template_Data_" + business_list[position]+"_Employees.csv" , sep=';', encoding='UTF-8')
And this is what excel looks like before and after they´ve gone through the functions. These names have been made up for the example:
# Before (original):
Carreño Julian
Natalia García
Gutiérrez Gutiérrez Pedro
# after:
Carreño Julian
Natlaia GarcÃa
Gutiérrez Gutiérrez Pedro
Do you know what might be that cause because UTF-8 is not working reading excels? Do you guys know an alternative way of doing it?
If you have encountered the same problem, please give me a hint!
I apologize for the length of this. I am a relative Neophyte to Excel VBA and even more junior with Python. I have run into an issue with an error that occasionally occurs in python using OpenPyXl (just trying that for the first time).
Background: I have a series of python scripts (12) running and querying an API to gather data and populate 12 different, though similar, workbooks. Separately, I have a equal number of Excel instances periodically looking for that data and doing near-real-time analysis and reporting. Another python script looks for key information to be reported from the spreadsheets and will text it to me when identified. The problem seems to occur between the data gathering python scripts and a copy command in the data analysis workbooks.
The way the python data gathering scripts "talk" to the analysis workbooks is via the sheets they build in their workbooks. The existing vba in the analysis workbooks will copy the data workbooks to another directory (so that they can be opened and manipulated without impacting their use by the python scripts) and then interpret and copy the data into the Excel analysis workbook. Although I recently tested a method to read the data directly from those python-created workbooks without opening them, the vba will require some major surgery to convert to that method and is likely not going to happen soon.
TL,DR: There are data workbooks and analysis workbooks. Python builds the data workbooks and the analysis workbooks use VBA to copy the data workbooks to another directory and load specific data from the copied data workbooks. There is a one-to-one correspondence between the data and analysis workbooks.
Based on the above, I believe that the only "interference" that occurs with the data workbooks is when the macro in the analysis workbook copies the workbook. I thought this would be a relatively safe level of interference, but it apparently is not.
The copy is done in VBA with this set of commands (the actual VBA sub is about 500 lines):
fso.CopyFile strFromFilePath, strFilePath, True
where fso is set thusly:
Set fso = CreateObject("Scripting.FileSystemObject")
and the strFromFilePath and strFilePath both include a fully qualified file name (with their respective paths). This has not generated any errors on the VBA side.
The data is copied about once a minute (though it varies from 40 seconds to about 5 minutes) and seems to work fine from a VBA perspective.
What fails is the python side about 1% of the time (which is probably 12 or fewer times daily. While that seems small, the associated data capture process halts until I notice and restart it. This means anywhere from 1 to all 12 of the data capture processes will fail at some point each day.
Here is what a failure looks like:
Traceback (most recent call last):
File "<pyshell#2>", line 1, in <module>
monitor('DLD',1,13,0)
File "<string>", line 794, in monitor
File "C:\Users\abcd\AppData\Local\Programs\Python\Python39\lib\site-packages\openpyxl\workbook\workbook.py", line 407, in save
save_workbook(self, filename)
File "C:\Users\abcd\AppData\Local\Programs\Python\Python39\lib\site-packages\openpyxl\writer\excel.py", line 291, in save_workbook
archive = ZipFile(filename, 'w', ZIP_DEFLATED, allowZip64=True)
File "C:\Users\abcd\AppData\Local\Programs\Python\Python39\lib\zipfile.py", line 1239, in __init__
self.fp = io.open(file, filemode)
PermissionError: [Errno 13] Permission denied: 'DLD20210819.xlsx'
and I believe it occurs as a result of the following lines of python code (which comes after a while statement with various if conditions to populate the worksheets). The python script itself is about 200 lines long:
time.sleep(1) # no idea why wb.save sometimes fails; trying a delay
wb.save(FileName)
Notice, I left in one of the attempts to correct this. I have tried waiting as much as 3 seconds with no noticeable difference.
I admit I have no idea how to detect errors thrown by OpenPyXl and am quite unskilled at python error handling, but I had tried this code yesterday:
retries = 1
success = False
while not success and retries < 3:
try:
wb.save
success = True
except PermissionError as saveerror:
print ('>>> Save Error: ',saveerror)
wait = 3
print('=== Waiting %s secs and re-trying... ===' % wait)
#sys.stdout.flush()
time.sleep(wait)
retries += 1
My review of the output tells me that the except code never executed while testing the data capture routine over 3000 times. However, the "save" also never happened so the analysis spreadsheets did not receive any information until later when the python code saved the workbook and closed it.
I also tried adding a wb.close after setting the success variable to true, but got the same results.
I am considering either rewriting the VBA to try to grab the data directly from the unopened data workbooks without first copying them (which actually sounds more dangerous) or using an external synching tool to copy them outside of VBA (which could potentially cause exactly the same problem).
Does anyone have an idea of what may be happening and how to address it? It works nearly all the time but just fails several times a day.
Can someone help me to better understand how to trap the error thrown by OpenPyXl so that I can have it retry rather than just abending?
Any suggestions are appreciated. Thank you for reading.
Not sure if this is the best way, but the comment from simpleApp gave me an idea that I may want to use a technique I used elsewhere in the VBA. Since I am new to these tools, perhaps someone can suggest a cleaner approach, but I am going to try using a semaphore file to signal when I am copying the file to alert the python script that it should avoid saving.
In the below I am separating out the directory the prefix and the suffix. The prefix would be different for each of the 12 or more instances I am running and I have not figured out where I want to put these files nor what suffix I should use, so I made them variables.
For example, in the VBA I will have something like this to create a file saying currently available:
Dim strSemaphoreFolder As String
Dim strFilePrefix As String
Dim strFileDeletePath As String
Dim strFileInUseName As String
Dim strFileAvailableName As String
Dim strSemaphoreFileSuffix As String
Dim fso As Scripting.FileSystemObject
Dim fileTemp As TextStream
Set fso = CreateObject("Scripting.FileSystemObject")
strSemaphoreFileSuffix = ".txt"
strSemaphoreFolder = "c:\temp\monitor\"
strFilePrefix = "RJD"
strFileDeletePath = strSemaphoreFolder & strFilePrefix & "*" & strSemaphoreFileSuffix
' Clean up remnants from prior activities
If Len(Dir(strFileDeletePath)) > 0 Then
Kill strFileDeletePath
End If
' files should be gone
' Set the In-use and Available Names
strFileInUseName = strFilePrefix & "InUse" & strSemaphoreFileSuffix
strFileAvailableName = strFilePrefix & "Available" & strSemaphoreFileSuffix
' Create an available file
Set fileTemp = fso.CreateTextFile(strSemaphoreFolder & strFileAvailableName, True)
fileTemp.Close
' available file should be there
Then, when I am about to copy the file, I will briefly change the filename to indicate that the file is in use, perform the potentially problematic copy and then change it back with something like this:
' Temporarily name the semaphore file to "In Use"
Name strSemaphoreFolder & strFileAvailableName As strSemaphoreFolder & strFileInUseName
fso.CopyFile strFromFilePath, strFilePath, True
' After copying the file name it back to "Available"
Name strSemaphoreFolder & strFileInUseName As strSemaphoreFolder & strFileAvailableName
Over in the Python script, before I do the wb.save command, I will insert a check to see whether the file indicates that it is available or in use with something like this:
prefix = 'RJD'
directory = 'c:\\temp\\monitor\\'
suffix = '.txt'
filepathname = directory + prefix + 'Available' + suffix
while not (os.path.isfile(directory + prefix + 'Available' + suffix)):
time.sleep(1)
wb.save
Does this seem like it would work?
I am thinking that it should avoid the failure if I have properly identified it as an attempt to save the file in the Python script while the VBA script is telling the operating system to copy it.
Thoughts?
afterthoughts:
Using the technique I described, I probably need to create the "Available" semaphore file in the Python script and simply assume it will be there in the VBA script since the Python script is collecting the data and may be doing so before the VBA is even started.
A better alternative may be to simply check for the existence of the "In Use" file which will never be there unless the VBA wants it there, like this:
while (os.path.isfile(directory + prefix + 'InUse' + suffix)):
time.sleep(1)
wb.save
I'm attempting to read in a series of files for processing contained in a single directory using RedVox:
input_directory = "/home/ben/Documents/Data/F1D1/21" # file location
rdvx_data = DataWindow(input_dir=input_directory, apply_correction=False, debug=True) # using RedVox to read in the files
print(os.listdir(input_directory)) # verifying the files actually exist...
# returns "['file1.rdvxz', 'file2.rdvxz', file3.rdvxz', ...etc]", they exist
# write audio portion to file
rdvx_data.to_json_file(base_dir=output_rpd_directory,
file_name=output_filename)
# this never runs, because rdvx_data.stations = [] (verified through debugging)
for station in rdvx_data.stations:
# some code here
Enabling debugging through arguments as seen above does not provide an extra details. In fact, there is no error message whatsoever. It writes the JSON file and pickle to disk, but the JSON file is full of null values and the pickle object is just a shell, no contents. So the files definitely exist, os.listdir() sees them, but RedVox does not.
I assume this is some very silly error or lack of understanding on my part. Any help is greatly appreciated. I have not worked with RedVox previously, nor do I have much understanding of what these files contain other than some audio data and some other data. I've simply been tasked with opening them to work on a model to analyze the data within.
SOLVED: Not sure why the previous code doesn't work (it was handed to me), however, I worked around the DataWindow call and went straight to calling the "redvox.api900.reader" object:
from redvox.api900 import reader
dataset_dir = "/home/*****/Documents/Data/F1D1/21/"
rdvx_files = glob(dataset_dir+"*.rdvxz")
for file in rdvx_files:
wrapped_packet = reader.read_rdvxz_file(file)
From here I can view all of the sensor data within:
if wrapped_packet.has_microphone_sensor():
microphone_sensor = wrapped_packet.microphone_sensor()
print("sample_rate_hz", microphone_sensor.sample_rate_hz())
Hope this helps anyone else who's confused.
I tested the openpyxl .remove() function and it's working on multiple empty file.
Problem: I have a more complex Excel file with multiple sheet that I need to remove. If I remove one or two it works, when I try to remove three or more, Excel raise an error when I open the file.
Sorry, we have troubles getting info in file bla bla.....
logs talking about pictures troubles
logs about error105960_01.xml ?
The strange thing is that it's talking about pictures trouble but I don't have this error if I don't remove 3 or more sheet. And I don't try to remove sheet with images !
Even more strange, It's always about the number, every file can be deleted without trouble but if I remove 3 or more, Excel yell at me.
The thing is that, it's ok when Excel "repair" the "error" but sometimes, excel reinitialize the format of the sheets (size of cell, bold and length of the characters, etc...) and everything fail :(
bad visual that I want to avoid
If someone have an idea, i'm running out of creativity !
For the code, I only use basic functions (simplify here but it would be long to present more...).
INPUT_EXCEL_PATH = "my_excel.xlsx"
OUTPUT_EXCEL_PATH = "new_excel.xlsx"
wb = openpyxl.load_workbook(INPUT_EXCEL_PATH)
ws = wb["sheet1"]
wb.remove(ws)
ws = wb["sheet2"]
wb.remove(ws)
ws = wb["sheet3"]
wb.remove(ws)
wb.save(OUTPUT_EXCEL_PATH)
In my case it was some left over empty CalculationChainPart. I used DocxToSource to investigate the corrupted file. Excel will attempt to fix the file on load. Save this file and compare it's structure to the original file. To delete descendant parts you can use the DeletePart() method.
using (SpreadsheetDocument doc = SpreadsheetDocument .Open(document, true)) {
MainDocumentPart mainPart = doc.MainDocumentPart;
if (mainPart.DocumentSettingsPart != null) {
mainPart.DeletePart(mainPart.DocumentSettingsPart);
}
}
CalculationChainPart can be also removed anytime.
While calculation chain information can be loaded by a spreadsheet application, it is not required. A calculation chain can be constructed in memory at load-time (source)
I am participating the kaggle's NCAA March Madness Anlytics Competion. I used pandas to read the information from csv files but encountered such a problem:
seeds = pd.read_csv('/kaggle/input/march-madness-analytics-2020/2020DataFiles/2020DataFiles/2020-Womens-Data/WDataFiles_Stage1/WNCAATourneySeeds.csv')
seeds
Here the output is empty. And I tried again like this:
rank = seeds.merge(teams)
Then there came an error:
NameError: name 'seeds' is not defined.
I can't figure out what happened and I tried it offline which turned out that nothing happened. Do I miss anything? And how can I fix it? Note that this was not the first time I used the read_csv() to read data from csv file in this notebook, though I couldn't figure out whether there is relation between this trouble and my situation.
You must put the CSV file in the folder where python saves projects.
Run this to find out the destination:
%pwd
Put the file in the destination and run this:
seeds = pd.read_csv('WNCAATourneySeeds.csv')
You can also run this:
seeds = pd.read_csv(r'C:\Users....\WNCAATourneySeeds.csv')
Where "C" is the disk where your file is saved and replace "..." by the computer path where the file is saved. Use also "\" not "/".
I finally found the problem. I didn't notice I was writing my codes in the markdown cell. Stupid me!