I am having a dataframe with 6 columns, what i need from tkinter is to print data in next column everytime when first loop iterate. For eg:
xls = pd.read_excel(file)
df = pd.DataFrame(xls)
df_col = df.columns.values
tree["columns"]=(df_col)
counter = len(df)
for x in range(len(df_col)):
tree.column(x, width=100 )
tree.heading(x, text=df_col[x])
for i in range(counter):
tree.insert("" , 0, values=(df[df_col[x]][i]))
Desired Output:
What im getting from my above code is:
Any help would be appreciated. Thanks in advance.
Related
I want to add some columns with an funktion without typing each name for the colum
like this
for i in range(0,11):
df["row" + i] = [random.randrange(1, 50, 1) for i in range(7)] # after the = is an exampel
thanks for you´re help
I have a dataframe given below
I want to extract all the non-zero values from each column to put it in a summarize way like this
If any value repeated for period of time then starting time of value should go in 'FROM' column and end time of value should go in 'TO' column with column name in 'BLK-ASB-INV' column and value should go in 'Scount' column. For this I have started to write the code like this
import pandas as pd
df = pd.read_excel("StringFault_Bagewadi_16-01-2020.xlsx")
df = df.set_index(['Date (+05:30)'])
cols=['BLK-ASB-INV', 'Scount', 'FROM', 'TO']
res=pd.DataFrame(columns=cols)
for col in df.columns:
ss=df[col].iloc[df[col].to_numpy().nonzero()[0]]
.......
After that I am unable to think how should I approach to get the desired output. Is there any way to do this in python? Thanks in advance for any help.
Finally I have solved my problem, I have written the code given below works perfectly for me.
import pandas as pd
df = pd.read_excel("StringFault.xlsx")
df = df.set_index(['Date (+05:30)'])
cols=['BLK-ASB-INV', 'Scount', 'FROM', 'TO']
res=pd.DataFrame(columns=cols)
for col in df.columns:
device = []
for i in range(len(df[col])):
if df[col][i] == 0:
None
else:
if i < len(df[col])-1 and df[col][i]==df[col][i+1]:
try:
if df[col].index[i] > device[2]:
continue
except IndexError:
device.append(df[col].name)
device.append(df[col][i])
device.append(df[col].index[i])
continue
else:
if len(device)==3:
device.append(df[col].index[i])
res = res.append({'BLK-ASB-INV':device[0], 'Scount':device[1], 'FROM':device[2], 'TO': device[3]}, ignore_index=True)
device=[]
else:
device.append(df[col].name)
device.append(df[col][i])
if i == 0:
device.append(df[col].index[i])
else:
device.append(df[col].index[i-1])
device.append(df[col].index[i])
res = res.append({'BLK-ASB-INV':device[0], 'Scount':device[1], 'FROM':device[2], 'TO': device[3]}, ignore_index=True)
device=[]
For reference, here is the output datafarme
I have developed the following code and fetched the matched output using a for loop.I need to print these output elements in separate column using python.
excel file name - Sample_data.xlsx
first column - WBS_CODE
second column - PROJECT_CODE
first column and second column are matched and then printed in separate column (column F) using python code. Please find my below code,
import pandas as pd
A = pd.read_excel("D:\python_work\Sample_data.xlsx", sheet_name = '31Sep')
code = A['WBS_CODE'].tolist()
B = pd.read_excel("D:\python_work\Sample_data.xlsx", sheet_name = '4Dec')
code1 = B['PROJECT_CODE'].tolist()
for x in code1:
if x in code:
print(x)
else:
print("NA")
output:
NA
NA
NA
APP-ACI-PJ-APAC-EMEA-ENG
NA
NA
I have found a way to export the output and print them in a separate column in excel sheet. Below is the solution,
import pandas as pd
from openpyxl import load_workbook
# Reading the Excel file columns
A = pd.read_excel("D:\python_work\Sample_data.xlsx", sheet_name='4Dec')
code = A['PROJECT_CODE'].tolist()
B = pd.read_excel("D:\python_work\Sample_data.xlsx", sheet_name='31Sep')
code1 = B['WBS_CODE'].tolist()
# Comparison of columns
class test:
def loop(self):
result = []
for x in code1:
if x in code:
result.append(x)
else:
y = "NA"
result.append(y)
print(result)
# Printing data into Excel
try:
book = load_workbook('D:\python_work\Aew1.xlsx')
writer = pd.ExcelWriter('D:\python_work\Aew1.xlsx', engine='openpyxl')
writer.book = book
writer.sheets = dict((ws.title, ws) for ws in book.worksheets) # loading all the worksheets in opened Excel
df = pd.DataFrame.from_dict({'Column1': result})
df.to_excel(writer, sheet_name='Sheet1', startcol=19)
writer.save()
except FileNotFoundError:
print("File Not found: 'Check the Name or Existence of file specified/'")
except PermissionError:
print("File Opened/No-Access: Check whether you have access to file or file is opened")
test().loop()
steps that solved:
1. Appended the for loop output to a list
2. used openpyxl library to print the output to a column in excel worksheet.
Thanks guyz for help and support. Have a good day
I have a csv file full of multiple years of water data. I've broken up each water year into it's own data frame. Now I want to do some math to those water years then save each water year to it's own excel sheet.
The math part of the code is working, but I'm having trouble with the final step of naming and saving the output of the loop correctly. Right now I have it creating the excel file and creating the sheet names correctly, but the loop just saves the final iteration to all the sheets. I've googled around but I can't get any other of the similar questions answers to work. This is my first python program so advice would be appreciated.
import pandas as pd
with open(r'wft.csv') as csvfile:
tdata = pd.read_csv(csvfile)
tdata['date'] = pd.to_datetime(tdata['date'], format='%m/%d/%Y %H:%M')
tdata = tdata.set_index(['date'])
wy2015 = tdata.loc['2014-10-1 00:00' : '2015-7-1 00:00']
wy2016 = tdata.loc['2015-10-1 00:00' : '2016-7-1 00:00']
wy2017 = tdata.loc['2016-10-1 00:00' : '2017-7-1 00:00']
writer = pd.ExcelWriter('WFT.xlsx', engine='xlsxwriter')
wyID = [wy2014, wy2015, wy2016, wy2017]
seq = ['wy2014', 'wy2015', 'wy2016', 'wy2017']
for df in wyID:
df = df.sort_values(by=['turbidity'], ascending=False)
df['rank'] = df['turbidity'].rank(method = 'first', ascending=0)
df['cunnanes'] = (df['rank'] - 0.4)/(len(df['rank']) + 0.2)*100
for name in seq:
df.to_excel(writer, sheet_name= name)
writer.save()
Issues in your code
writer = pd.ExcelWriter('WFT.xlsx', engine='xlsxwriter')
wyID = [wy2014, wy2015, wy2016, wy2017]
seq = ['wy2014', 'wy2015', 'wy2016', 'wy2017']
for df in wyID: # outer loop that figures out wy20xx
df = df.sort_values(by=['turbidity'], ascending=False)
df['rank'] = df['turbidity'].rank(method = 'first', ascending=0)
df['cunnanes'] = (df['rank'] - 0.4)/(len(df['rank']) + 0.2)*100
for name in seq: # you loop through all the names and write all sheets every time. you want to be writing just one
df.to_excel(writer, sheet_name= name)
writer.save()
Instead try this.
for i, df in enumerate(wyID): # outer loop that figures out wy20xx
df = df.sort_values(by=['turbidity'], ascending=False)
df['rank'] = df['turbidity'].rank(method = 'first', ascending=0)
df['cunnanes'] = (df['rank'] - 0.4)/(len(df['rank']) + 0.2)*100
df.to_excel(writer, sheet_name= seq[i]) # writes to correct wy20xx sheet
writer.save() # Now you're done writing the excel
i want to read out the whole rows in an excel-file. I dont know how much rows there are.
i have the following Code:
import xlrd
import sys
from time import *
wb = xlrd.open_workbook("RBU_COIN.xlsx")
sh = wb.sheet_by_index(0)
rows =[]
n = 1
t1 = clock()
for row_number in range(sh.nrows):
rows.append(sh.row_values(row_number))
n = n + 1
for row in rows[n]:
print(row)
t2 = clock()
t = t2 - t1
print('Rechenzeit: ', t)
After executing i get the error that in line 16 is an IndexError: list index out of range.
I cant find the mistake i made.
Thanks!
You need to iterate over rows like this:
# ...
for row in rows:
print(row)
# ...