I have pulled some data from a xml file that looks as below:
Parent
Child
Action
new
ID
54467
Type
None
Group
Name
None
ID
ab
COMMENTS
HTRER
REMARKS
LKO
CUSTOMER
HELLO
In the above sample, the first row represent the header while the row below that represents the corresponding value. I am trying to have these written to a spreadsheet such that each header is written on first row with the corresponding value in the subsequent row. I am trying to do that using the code below but see that some of the values do not get written.
Given below is the code I am using to write it to a spreadsheet using xlsxwriter:
row = 0
col = 0
row1 = 1
col1 = 0
for elem in tree.iter():
worksheet.write(row, col, elem.tag)
for subelem in elem:
worksheet.write(row1, col1, subelem.text)
col +=1
Could anyone advice as to why the values are not getting correctly or does the code above needs some edit. Thanks
Related
I have an Excel file in which I want to convert the number formatting from 'General' to 'Date'. I know how to do so for one column when referring to the column letter:
workbook = openpyxl.load_workbook('path\filename.xlsx')
worksheet = workbook['Sheet1']
for row in range(2, worksheet.max_row+1):
ws["{}{}".format(ColNames['Report_date'], row)].number_format='yyyy-mm-dd;#'
As you can see, I now use the column letter "D" to point out the column that I want to be formatted differently. Now, I would like to use the header in row 1 called "Start_Date" to refer to this column. I tried a method from the following post to achieve this: select a column by its name - openpyxl. However, that resulted in a KeyError: "Start_Date":
# Create a dictionary of column names
ColNames = {}
Current = 0
for COL in worksheet.iter_cols(1, worksheet.max_column):
ColNames[COL[0].value] = Current
Current += 1
for row in range(2, worksheet.max_row+1):
ws["{}{}".format(ColNames['Start_Date'], row)].number_format='yyyy-mm-dd;#'
EDIT
This method results in the following error:
AttributeError: 'tuple' object has no attribute 'number_format'
Additionally, I have more columns from which the number formatting needs to be changed. I have a list with the names of those columns:
DateColumns = ['Start_Date', 'End_Date', 'Birthday']
Is there a way that I can use the list DateColumns so that I can save some lines of code?
Thanks in advance.
Please note that I posted a similar question earlier. The following post was referred to as an answer Python: Simulating CSV.DictReader with OpenPyXL. However, I don't see how the answers in that post can be adjusted to my needs.
You need to know which columns you want to change the number format on which you have conveniently put into a list, so why not just use that list.
Get the headers in your sheet, check if the Header is in the DateColumns list, if so then update all the entries in that column from row 2 to max with the date format you want...
...
DateColumns = ['Start_Date', 'End_Date', 'Birthday']
for COL in worksheet.iter_cols(min_row=1,max_row=1):
header = COL[0]
if header.value in DateColumns:
for row in range(2, worksheet.max_row+1):
worksheet.cell(row, COL[0].column).number_format='yyyy-mm-dd;#'
I have a DataFrame as shown in the attached image. My columns of interest are fgr and fgr1. As you can see, they both contain values corresponding to years.
I want to iterate in the the two columns and for any value present, I want 1 if the value is present or else 0.
For example, in fgr the first value is 2028. So, the first row in column 2028 will have a value 1 and all other columns have value 0.
I tried using lookup but I did not succeed. So, any pointers will be really helpful.
Example dataframe
Data:
Data file in Excel
This fill do you job. You can use for loops aswell but I think this approach will be faster.
df["Matched"] = df["fgr"].isin(df["fgr1"])*1
Basically you check if values from one are in anoter column and if they are, you get True or False. You then multiply by 1 to get 1 and 0 instead of True or False.
From this answer
Not the most efficient, but should work for your case(time consuming if large dataset)
s = df.reset_index().melt(['index','fgr','fgr1'])
s['value'] = s.variable.eq(s.fgr.str[:4]).astype(int)
s['value2'] = s.variable.eq(s.fgr1.str[:4]).astype(int)
s['final'] = np.where(s['value']+s['value2'] > 0,1,0)
yourdf = s.pivot_table(index=['index','fgr','fgr1'],columns = 'variable',values='final',aggfunc='first').reset_index(level=[1,2])
yourdf
I have an excel as shown below:
Input File
Now I want to filter fruits first from "Items" column and check which one in list of "list" column is not present in the list. For example: here "grapes" is not present in "Name" column. So I want grapes as output in next column as shown below.
Expected Output Shown
The same is to be done for many by filtering each items one by one as I have many items.
Please suggest or give some hints so that i can start this code.
I am naming the excel as Book1
import pandas as pd
frame = pd.read_excel("Book1.xlsx")
frame_list_as_String = frame.list.tolist()
frame_list = [x.split(',') for x in frame_list_as_String]
frame_Name = frame.Name.tolist()
frame_col3=[]
for item in frame_list :
frame_col3.append(list(set(items)-set(frame_Name)))
frame["col3"]=frame_col3
frame.to_excel("df.xlsx", index = False)
I am working with a big set of data, which has 9 rows (B3:J3 in column 3) and stretches until B1325:J1325. Using Python and the Openpyxl library, I need to get the biggest and second biggest value of each row and print those to a new field in the same row. I already assigned values to single fields manually (headings), but cannot seem to even get the max value in my range automatically written to a new field. My code looks like the following:
for row in ws.rows['B3':'J3']:
sumup = 0.0
for cell in row:
if cell.value != None:
.........
It throws the error:
for row in ws.rows['B3':'J3']:
TypeError: 'generator' object has no attribute '__getitem__'
How could I get to my goal here?
You can you iter_rows to do what you want.
Try this:
for row in ws.iter_rows('B3':'J3'):
sumup = 0.0
for cell in row:
if cell.value != None:
........
Check out this answer for more info:
How we can use iter_rows() in Python openpyxl package?
This is a pretty complicated question so be prepared! I want to generate some test data in excel for my EAV table. The columns I have are:
user_id, attribute, value
Each user_id will repeat for a random number of times between 1-4, and for each entry I want to pick a random attribute from a list, and then a random value which this can take on. Lastly I want the attributes for each id entry to be unique i.e. I do not want more than one entry with the same id and attribute. Below is an example of what I mean:
user_id attribute value
100001 gender male
100001 religion jewish
100001 university imperial
100002 gender female
100002 course physics
Possible values:
attribute value
gender male
female
course maths
physics
chemistry
university imperial
cambridge
oxford
ucl
religion jewish
hindu
christian
muslim
Sorry that the table above messed up. I don't know how to paste into here while retaining the structure! Hopefully you can see what I'm talking about otherwise I can get a screenshot.
How can I do this? In the past I have generated random data using a random number generator and a VLOOKUP but this is a bit out of my league.
My approach is to create a table with all four attributes for each ID and then filter that table randomly to get between one and four filtered rows per ID. I assigned a random value to each attribute. The basic setup looks like this:
To the left is the randomized eav table and to the left is the lookup table used for the randomized values. Here's the formulas. Enter them and copy down:
Column A - Establishes a random number every four digits. This determines the attribute that must be selected:
=IF(COUNTIF(C$2:C2,C2)=1,RANDBETWEEN(1,4),A1)
Column B - Uses the formula in A to determine if row is included:
=IF(COUNTIF(C$2:C2,C2)=A2,TRUE,RANDBETWEEN(0,1)=1)
Column C - Creates the IDs, starting with 100,001:
=(INT((ROW()-2)/4)+100000)+1
Column D - Repeats the four attributes:
=CHOOSE(MOD(ROW()-2,4)+1,"gender","course","university","religion")
Column E - Finds the first occurence of the Column D attribute in the lookup table and selects a randomly offset value:
=INDEX($H$2:$H$14,(MATCH(D2,$G$2:$G$14,0))+RANDBETWEEN(0,COUNTIF($G$2:$G$14,D2)-1))
When you filter on the TRUEs in Column B you'll get your list of one to four Attributes per ID. Disconcertingly, the filtering forces a recalculation, so the filtered list will no longer say TRUE for every cell in column B.
If this was mine I'd automate it a little more, perhaps by putting the "magic number" 4 in it's own cell (the count of attributes).
There are a number of ways to do this. You could use either perl or python. Both have modules for working with spreadsheets. In this case, I used python and the openpyxl module.
# File: datagen.py
# Usage: datagen.py <excel (.xlsx) filename to store data>
# Example: datagen.py myfile.xlsx
import sys
import random
from openpyxl import Workbook
from openpyxl.cell import get_column_letter
# verify that user specified an argument
if len(sys.argv) < 2:
print "Specify an excel filename to save the data, e.g myfile.xlsx"
exit(-1)
# get the excel workbook and worksheet objects
wb = Workbook()
ws = wb.get_active_sheet()
# Modify this line to specify the range of user ids
ids = range(100001, 100100)
# data structure for the attributes and values
data = { 'gender': ['male', 'female'],
'course': ['maths', 'physics', 'chemistry'],
'university': ['imperial','cambridge','oxford', 'ucla'],
'religion': ['jewish', 'hindu', 'christian','muslim']}
# Write column headers in the spreadsheet
ws.cell('%s%s'%('A', 1)).value = 'user_id'
ws.cell('%s%s'%('B', 1)).value = 'attribute'
ws.cell('%s%s'%('C', 1)).value = 'value'
row = 1
# Loop through each user id
for user_id in ids:
# randomly select how many attributes to use
attr_cnt = random.randint(1,4)
attributes = data.keys()
for idx in range(attr_cnt):
# randomly select attribute
attr = random.choice(attributes)
# remove the selected attribute from further selection for this user id
attributes.remove(attr)
# randomly select a value for the attribute
value = random.choice(data[attr])
row = row + 1
# write the values for the current row in the spreadsheet
ws.cell('%s%s'%('A', row)).value = user_id
ws.cell('%s%s'%('B', row)).value = attr
ws.cell('%s%s'%('C', row)).value = value
# save the spreadsheet using the filename specified on the cmd line
wb.save(filename = sys.argv[1])
print "Done!"