The code and error with sample data from an image:
image = Image.open(newest)
exif = image._getexif()
gps = {}
datebool = False
gpsbool = False
date = 'None'
time = 'None'
gpstext = 'None'
dmslat = 'None'
dmslon = 'None'
if exif is not None:
for tag, entry in exif.items(): #Import date and time from Exif
datebool = True
if TAGS.get(tag, tag) == 'DateTimeOriginal':
date = entry[0:10]
time = entry[11:19]
for tag, entry in exif.items(): #Check if the GPSInfo field exists
if TAGS.get(tag,tag) == 'GPSInfo':
gpsbool = True
for e in entry:
decoded = GPSTAGS.get(e,e)
print (decoded)
print(type(entry))
gps[decoded] = entry[e]
The results
4984
<type 'tuple'>
Traceback (most recent call last):File"C:\Users\~~~~~\Desktop\project_7-8-2015\8_bands\Program_camera.py", line 109, in <module>
gps[decoded] = entry[e]
IndexError: tuple index out of range
Since e is pulled from entry, how can indexing that particular e from entry generate an indexing error? Am I actually pulling the correct data for the gps?
for e in entry doesn't index the values in entry, it iterates over them. For example:
entry = (3, 5, 7)
for e in entry:
print(e)
will output:
3
5
7
So the line should probably look like:
gps[decoded] = e
though I'm not sure what the GPSTAGS line would become. If you really need the items in entry enumerated, then you should look into (to your great surprise, I'm sure) the enumerate() function.
Related
I am new in coding. I have a question. I tried to run selenium for scraping data with 13 pages in total. Unfortunately, after page 13, the loop is still running, and I don't know how to stop the loop. This is the error: list index out of range when running Selenium, please I need your help. Thank you !
This is the code that I make
txt = driver
.find_element(By.XPATH,'//*[#id="searchResultsCount"]').text
print(txt)
print(txt.split{' '))
def result_status(driver):
txt = driver.find_e1ement(By.XPATH,'//*{#id="searchResultsCount"]').text
current = txt.sp1it(' ')[1]
end = txt.sp1it(' ')[3]
return current, end, driver
def next_page(driver):
pg_elems = driver.find_elements(By.CLASS_NAME,'page-link') #<a href="#page-274"
nxt_elem = [x for x in pg_elems if x.text == 'Next‘][#]
nxt_elem.click()
time.sleep(2)
return driver
driver = next_page(driver)
results_df = pd.DataFrame()
# Put it all together (From Matt)
# Get current resuLts
current, end, driver = result_status(driver)
#Loop through resuLts
i=0
while current != end:
i += 1
if i%2 == 0:
results = driver.find_element(By.ID,'searchResultsArea')
results_html = results.get_attribute('innerHTHL')
temp = pd.read_html(results_html)[0]
results_df = pd.concat([results_df,temp], ignore_index=True)
results_df.to_csv("results.csv", index=False)
#Check Status
current, end, driver = result_status(driver)
print(current,'|',end='')
#Go to next page
driver = next_page(driver)
if i == 660:
break
results = driver.find_e1ement(By.ID,'overSearchResults')
results_html = results.get_attribute('innerHTML')
df = pd.read_htm1(results_html
And this is the error
IndexError Traceback (most recent call last)
~\AppData\Loca1\Temp/ipykernel_37444/2741504647.py in <module>
21
22 #Go to next page
---> 23 driver = next_page(driver)
24 it i == 690:
25 break
I am very new to coding and seeking guidance on below...
I have a csv output currently like this:
'Age, First Name, Last Name, Mark'
'21, John, Smith, 68'
'16, Alex, Jones, 52'
'42, Michael, Carpenter, 92 '
How do I create a dictionary that will end up looking like this:
dictionary = {('age' : 'First Name', 'Mark'), ('21' : 'John', '68'), etc}
I would like the first value to be the key - and only want two other values, and I'm having difficulty finding ways to approach this.
So far I've got
data = open('test.csv', 'r').read().split('\n')
I've tried to split each part into a string
for row in data:
x = row.split(',')
EDIT:
Thank you for those who have gave some input into solving my problem.
So after using
myDic = {}
for row in data:
tmpLst = row.split(",")
key = tmpLst[0]
value = (tmpLst[1], tmpLst[-1])
myDic[key] = value
my data came out as
['Age', 'First Name', 'Last Name', 'Mark']
['21', 'John', 'Smith', '68']
['16', 'Alex', 'Jones', '52']
['42', 'Michael', 'Carpenter', '92']
But get an IndexError: list index out of range at the line
value = (tmpLst[1], tmpLst[-1])
even though I can see that it should be within the range of the index.
Does anyone know why this error is coming up or what needs to be changed?
Assuming an actual valid CSV file that looks like this:
Age,First Name,Last Name,Mark
21,John,Smith,68
16,Alex,Jones,52
42,Michael,Carpenter,92
the following code should do what you want:
from __future__ import print_function
import csv
with open('test.csv') as csv_file:
reader = csv.reader(csv_file)
d = { row[0]: (row[1], row[3]) for row in reader }
print(d)
# Output:
# {'Age': ('First Name', 'Mark'), '16': ('Alex', '52'), '21': ('John', '68'), '42': ('Michael', '92')}
If d = { row[0]: (row[1], row[3]) for row in reader } is confusing, consider this alternative:
d = {}
for row in reader:
d[row[0]] = (row[1], row[3])
I guess you want output like this:
dictionary = {'age' : ('First Name', 'Mark')}
Then you can use the following code:
myDic = {}
for row in data:
tmpLst = row.split(",")
key = tmpLst[0]
value = (tmpLst[1], tmpLst[-1])
myDic[key] = value
I'm relatively new to Python, and I am having trouble separating out unique rows from a data set that I had recently converted into lists. I broke separated out the data's unixtime recordings and converted them into datetime. Then when I recombined the data into a list I tried to separate out the unique rows of data. But instead I get the error.
[[[datetime.datetime(2014, 6, 20, 0, 0) -16.0]
[datetime.datetime(2014, 6, 20, 0, 0) -16.0]........
Traceback (most recent call last):
File "C:\Users\lenovo\Favorites\Microsoft 网站\Downloads\OTdataparser.py", line 33, in <module>
indicies = np.unique(okdat, return_index = True) #<-- NOT WORKING
File "C:\Python27\lib\site-packages\numpy\lib\arraysetops.py", line 180, in unique
perm = ar.argsort(kind='mergesort')
TypeError: can't compare datetime.datetime to float
My script is below.
import numpy as np
from datetime import datetime
import matplotlib.pyplot as plt
import math
ds5 = np.genfromtxt("gpsdata.dat.140620", delimiter = '',
usecols = (2,4,5), dtype = object)
print ds5
ds = np.array([x for x in ds5 if x[0] == "06/20/2014"])
dot = ds[:,2].astype(float)
print ds
rndsht = np.genfromtxt(ds[:,1], delimiter = ".", dtype = float) #Rm decimal
print rndsht
dutc = np.array([datetime.utcfromtimestamp(x) for x in rndsht[:,0]])
print dutc
#dutc = np.array([datetime.utcfromtimestamp(x) for x in ds[:,1].astype(float)])
okdat = np.dstack((dutc,dot))
#okdat.astype(object)
print okdat
#indicies = np.unique(dutc, return_index=True) #<-- WORKS! BUT okdat??
#print indicies
indicies = np.unique(okdat, return_index = True) #<-- NOT WORKING
print indicies
#Can't figure out how to use indicies to limit dot
You could write your own unique function.
Here is quick example (you can probably do better). Note that is doesn't preserve order, but you could use insert and do that.
def
def unique(data):
x = 0
while x < len(data):
i = data[x]
c = 0
while (i in data):
c += 1
data.remove(i)
data.append(i)
if (c <= 1):
x += 1
return data
Unsure of why I am getting this error. I'm reading from a file called columns_unsorted.txt, then trying to write to columns_unsorted.txt. There error is on fan_on = string_j[1], saying list index out of range. Here's my code:
#!/usr/bin/python
import fileinput
import collections
# open document to record results into
j = open('./columns_unsorted.txt', 'r')
# note this is a file of rows of space-delimited date in the format <1384055277275353 0 0 0 1 0 0 0 0 22:47:57> on each row, the first term being unix times, the last human time, the middle binary indicating which machine event happened
# open document to read from
l = open('./columns_sorted.txt', 'w')
# CREATE ARRAY CALLED EVENTS
events = collections.deque()
i = 1
# FILL ARRAY WITH "FACTS" ROWS; SPLIT INTO FIELDS, CHANGE TYPES AS APPROPRIATE
for line in j: # columns_unsorted
line = line.rstrip('\n')
string_j = line.split(' ')
time = str(string_j[0])
fan_on = int(string_j[1])
fan_off = int(string_j[2])
heater_on = int(string_j[3])
heater_off = int(string_j[4])
space_on = int(string_j[5])
space_off = int(string_j[6])
pump_on = int(string_j[7])
pump_off = int(string_j[8])
event_time = str(string_j[9])
row = time, fan_on, fan_off, heater_on, heater_off, space_on, space_off, pump_on, pump_off, event_time
events.append(row)
You are missing the readlines function, no?
You have to do:
j = open('./columns_unsorted.txt', 'r')
l = j.readlines()
for line in l:
# what you want to do with each line
In the future, you should print some of your variables, just to be sure the code is working as you want it to, and to help you identifying problems.
(for example, if in your code you would print string_j you would see what kind of problem you have)
Problem was an inconsistent line in the data file. Forgive my haste in posting
I want to create an python multi dimensional dictionary :-
Currently i am doing like this
multidict = {}
IN LOOP
mulitdict[i] = data
if loop runs ten times I am getting same value in all index..
Eg:
I want to have like this
multidict {0 : {'name':name1, 'age' : age1}, 1: {'name':name2, 'age' : age2}
but i am getting as shown below
multidict {0 : {'name':name1, 'age' : age1}, 1: {'name':name1, 'age' : age1}
I also tried the default dict also....but every time i get same value in all index. What is the problem?
Tried code :
csv_parsed_data2 = {}
with open('1112.txt') as infile:
i =0
for lineraw in infile:
line = lineraw.strip()
if 'sample1 ' in line:
### TO GET SOURCE ROUTER NAME ###
data['sample1'] = line[8:]
elif 'sample2- ' in line:
### TO GET DESTINATION ROUTER NAME ###
data['sample2'] = line[13:]
elif 'sample3' in line:
### TO GET MIN,MAX,MEAN AND STD VALUES ###
min_value = line.replace("ms"," ")
min_data = min_value.split(" ")
data['sample3'] = min_data[1]
csv_parsed_data2[i] = data
i = i + 1
print i,'::',csv_parsed_data2,'--------------'
print csv_parsed_data2,' all index has same value'
any efficient way to do this??
It sounds you are assigning the same data dict to each of the values of your outer multidict, and just modifying the values it holds on each pass through the loop. This will result in all the values appearing the same, with the values from the last pass through the loop.
You probably need to make sure that you create a separate dictionary object to hold the data from each value. A crude fix might be to replace multidict[i] = data with multidict[i] = dict(data), but if you know how data is created, you can probably do something more elegant.
Edit: Seeing your code, here's a way to fix the issue:
csv_parsed_data2 = {}
with open('1112.txt') as infile:
i =0
data = {} # start with empty data dict
for lineraw in infile:
line = lineraw.strip()
if 'sample1 ' in line:
### TO GET SOURCE ROUTER NAME ###
data['sample1'] = line[8:]
elif 'sample2- ' in line:
### TO GET DESTINATION ROUTER NAME ###
data['sample2'] = line[13:]
elif 'sample3' in line:
### TO GET MIN,MAX,MEAN AND STD VALUES ###
min_value = line.replace("ms"," ")
min_data = min_value.split(" ")
data['sample3'] = min_data[1]
csv_parsed_data2[i] = data
data = {} # after saving a reference to the dict, reinitialize it
i = i + 1
print i,'::',csv_parsed_data2,'--------------'
print csv_parsed_data2,' all index has same value'
To understand what was going on, consider this simpler situation, where I a values in a dictionary after saving a reference to it when it had some older values:
my_dict = { "foo": "bar" }
some_ref = my_dict
print some_ref["foo"] # prints "bar"
my_dict["foo"] = "baz"
print some_ref["foo"] # prints "baz", since my_dict and some_ref refer to the same object
print some_ref is d # prints "True", confirming that fact
In your code, my_dict was data and some_ref were all the values of csv_parsed_data2. They would all end up being references to the same object, which would hold whatever the last values assigned to data were.
Try this:
multidict = {}
for j in range(10):
s = {}
s['name'] = raw_input()
s['age'] = input()
multidict[j] = s
This will have the desired result