I am trying to teach myself how to use xlrd for a (conceptually) simple task:
I want to take a string through raw_input from the user and search an excel sheet for the string.
when found I want the program to print the cell row only
here is my non-working code to start with:
import xlrd
from xlrd import open_workbook
book = open_workbook('simple.xls')
sheet = book.sheet_by_index(0)
city = raw_input("> ")
for rowi in range(sheet.nrows):
row = sheet.row(rowi)
for coli, cell in enumerate(row):
if cell.value == city:
loc = cell.row
??????????????
cell = sheet.cell(loc, 9)
print "The Ordinance Frequency is %r" % cell.value
Try cycling through the columns in the same way that you cycle through rows
for r in range(sheet.nrows):
for c in range(sheet.ncols):
cell = sheet.cell(r, c)
if cell.value == city:
loc = r //index of interesting row
Related
Below is my code. I'm trying to capture rowid and columnid of a particular 'cell' element and that cell value in an excel sheet using row name and column name, but I'm unable to capture it.
from xlrd import open_workbook
book = open_workbook("D:\A2.xlsx")
for sheet in book.sheets():
for rowidx in range(sheet.nrows):
row = sheet.row(rowidx)
for colidx,cell in enumerate(row):
if cell.value == "PES":#row value
print "Found Row Element"
for column in range(sheet.ncols):
col = sheet.col(column)
for rowid,cell1 in enumerate(col):
if cell1.value == "# Responses PCSAT YTD":#column value
print rowidx,colidx
print "Column Element Found"
print sheet.name
print (sheet.cell1(rowidx,colidx).value)#must be cell value
print "***************"
Any help?
Is this what you wanted?
from xlrd import open_workbook
book = open_workbook("book.xlsx")
for sheet in book.sheets():
for rowidx in range(sheet.nrows):
row = sheet.row(rowidx)
for colidx,cell in enumerate(row):
if cell.value == "PES":#row value
print ("Found Row Element")
print(rowidx, colidx)
I'm a new programmer who has for a few days trying to create a dropdown list whose input then creates a graph.
For my graph, I'm using Bokeh to create a html file graph, plotting per-capita income of a few places as well as it's percentage of Diabetes. However I have been trying to get it to work for 2 weeks now with a dropdown list and I simply cannot make it work.
I can create the file, but only when the user enters the input by typing. How Can I make this work with a person selecting a place from a dropdown list and the file showing that places graph as output. Here's my code.
Edit:
I want the selected value from the dropdown list to be sent as the value aaa to the program. I know I should turn my graph creating part of the program into a function. But how do I get the value of a dropdown list as the variable aaa?
import csv
from bokeh.plotting import figure, curdoc
from bokeh.io import output_file, show
from bokeh.layouts import widgetbox
from bokeh.models.widgets import Dropdown
aaa = raw_input("Write State, not Puerto Rico, Hawaii, or DC: ")
from collections import defaultdict
columns = defaultdict(list) # each value in each column is appended to a list
columns1 = defaultdict(list)
with open('my_data.csv') as f:
for row in f:
row = row.strip()# read a row as {column1: value1, column2: value2,...}
row = row.split(',')
columns[row[0]].append(row[1])
columns[row[0]].append(row[2])
columns[row[0]].append(row[3])
columns[row[0]].append(row[4])
columns[row[0]].append(row[5])
xy = (columns[aaa])
xy = [float(i) for i in xy]
myInt = 10000
xy = [x / myInt for x in xy]
print xy
with open('my_data1.csv') as f:
for row in f:
row = row.strip()# read a row as {column1: value1, column2: value2,...}
row = row.split(',')
columns1[row[0]].append(row[1])
columns1[row[0]].append(row[2])
columns1[row[0]].append(row[3])
columns1[row[0]].append(row[4])
columns1[row[0]].append(row[5])
omega = (columns1[aaa])
omega = [float(i) for i in omega]
print omega
import numpy
corr123 = numpy.corrcoef(omega,xy)
print corr123
a = [2004, 2005, 2006, 2007, 2008]
output_file("lines.html")
p = figure(tools="pan,box_zoom,reset,save", title="Diabetes and Stats",
x_axis_label='Years', y_axis_label='percents')
# add some renderers
per = "Diabetes% " + aaa
p.line(a, omega, legend=per)
p.circle(a, omega, legend=per, fill_color="white",line_color="green", size=8)
p.line(a, xy, legend="Per Capita Income/10000")
p.circle(a, xy, legend="Per Capita Income/10000", fill_color="red", line_color="red", size=8)
p.legend.location="top_left"
show(p)
Here is the piece I am trying to write the value inside existing excel sheet in particular cell but value is not printing inside that sheet,how to write that value,here I used xlutils.copy
from datetime import datetime, timedelta, date
from xlrd import open_workbook
from xlwt import Workbook
from xlutils.copy import copy
import xlrd
import datetime
book = open_workbook('Data.xlsx')
sheet = book.sheet_by_index(0)
# read header values into the list
keys = [sheet.cell(0, col_index).value for col_index in xrange(sheet.ncols)]
dict_list = []
#read the excel sheet data into list
for row_index in xrange(1, sheet.nrows):
d = {keys[col_index]: sheet.cell(row_index, col_index).value
for col_index in xrange(sheet.ncols)}
dict_list.append(d)
TotalEffort = 0
#convert the integer date to YMD format
for count in range(len(dict_list)):
year, month, day, hour, minute, second = xlrd.xldate_as_tuple(dict_list[count]["Date"],book.datemode)
#print week number
if datetime.date.today().isocalendar()[1] == date(year, month, day).isocalendar()[1]:
TotalEffort = TotalEffort+dict_list[count]["Effort"]
weeknum = str(datetime.date.today().isocalendar()[1])
Total = str(TotalEffort)
print " Effort for week"+weeknum+" is: "+Total+"hours"
rb = open_workbook('output.xlsx')
ws = rb.sheet_by_index(0)
for rowidx in range(ws.nrows):# number of rows in sheets
row = ws.row(rowidx)# count row from 0 and get it frm sheet
for colidx, cell in enumerate(row):#read all rows in sheets
if cell.value == "search word":
print 'row ' ,rowidx
print 'column' ,colidx
cur_row = rowidx+2
cur_col = colidx+36
wb = copy(rb)
#pic first sheet
shw = wb.get_sheet(0)
value = str(Total)
#writing to shw
shw.write(cur_row,cur_col,'value')
I currently have a piece of code that works in two segments. The first segment opens the existing text file from a specific path on my local drive and then arranges, based on certain indices, into a list of sub list. In the second segment I take the sub-lists I have created and group them on a similar index to simplify them (starts at def merge_subs). I am getting no error code but I am not receiving a result when I try to print the variable answer. Am I not correctly looping the original list of sub-lists? Ultimately I would like to have a variable that contains the final product from these loops so that I may write the contents of it to a new text file. Here is the code I am working with:
from itertools import groupby, chain
from operator import itemgetter
with open ("somepathname") as g:
# reads text from lines and turns them into a list sub-lists
lines = g.readlines()
for line in lines:
matrix = line.split()
JD = matrix [2]
minTime= matrix [5]
maxTime= matrix [7]
newLists = [JD,minTime,maxTime]
L = newLists
def merge_subs(L):
dates = {}
for sub in L:
date = sub[0]
if date not in dates:
dates[date] = []
dates[date].extend(sub[1:])
answer = []
for date in sorted(dates):
answer.append([date] + dates[date])
new code
def openfile(self):
filename = askopenfilename(parent=root)
self.lines = open(filename)
def simplify(self):
g = self.lines.readlines()
for line in g:
matrix = line.split()
JD = matrix[2]
minTime = matrix[5]
maxTime = matrix[7]
self.newLists = [JD, minTime, maxTime]
print(self.newLists)
dates = {}
for sub in self.newLists:
date = sub[0]
if date not in dates:
dates[date] = []
dates[date].extend(sub[1:])
answer = []
for date in sorted(dates):
print(answer.append([date] + dates[date]))
enter code here
enter code here
I have created code in Python 2.7 which saves sales data for various products into a text file using the write() method. My limited Python skills have hit the wall with the next step - I need code which can read this data from the text file and then calculate and display the mean average number of sales of each item. The data is stored in the text file like the data shown below (but I am able to format it differently if that would help).
Product A,30
Product B,26
Product C,4
Product A,40
Product B,18
Product A,31
Product B,13
Product C,3
After far too long Googling around this to no avail, any pointers on the best way to manage this would be greatly appreciated. Thanks in advance.
You can read from the file, then split each line by a space (' '). Then, it is just a matter of creating a dictionary, and appending each new item to a list which is the value for each letter key, then using sum and len to get the average.
Example
products = {}
with open("myfile.txt") as product_info:
data = product_info.read().split('\n') #Split by line
for item in data:
_temp = item.split(' ')[1].split(',')
if _temp[0] not in products.keys():
products[_temp[0]] = [_temp[1]]
else:
products[_temp[0]] = products[_temp[0]]+[_temp[1]]
product_list = [[item, float(sum(key))/len(key)] for item, key in d.items()]
product_list.sort(key=lambda x:x[0])
for item in product_list:
print 'The average of {} is {}'.format(item[0], item[1])
from __future__ import division
dict1 = {}
dict2 = {}
file1 = open("input.txt",'r')
for line in file1:
if len(line)>2:
data = line.split(",")
a,b = data[0].strip(),data[1].strip()
if a in dict1:
dict1[a] = dict1[a] + int(b)
else:
dict1[a] = int(b)
if a in dict2:
dict2[a] = dict2[a] + 1
else:
dict2[a] = 1
for k,v in dict1.items():
for m,n in dict2.items():
if k == m:
avg = float(v/n)
print "%s Average is: %0.6f"%(k,float(avg))
Output:
Product A Average is: 33.666667
Product B Average is: 19.000000
Product C Average is: 3.500000