I am currently writing a lager script to ease my life.
Right now I am reading raw values from cells from an excel.
So far so good.
These numbers need to be interpreted as seconds and then converted into minutes.
I tried my best with datetime but no luck.
Any suggestions?
elif auswahl == '2':
print("Some user friendly-text:")
excel_download = openpyxl.load_workbook(r'/Path/to/excel.xlsx')
sheet = excel_download.active
Grund_1 = sheet['B2'].value
Grund_2 = sheet['B3'].value
Grund_3 = sheet['B4'].value
Grund_4 = sheet['B5'].value
Grund_5 = sheet['B6'].value
Grund_6 = sheet['B7'].value
Zeit_in_Sekunden_1 = sheet['C2'].value
Zeit_in_Sekunden_2 = sheet['C3'].value
Zeit_in_Sekunden_3 = sheet['C4'].value
Zeit_in_Sekunden_4 = sheet['C5'].value
Zeit_in_Sekunden_5 = sheet['C6'].value
Zeit_in_Sekunden_6 = sheet['C7'].value
print("Du warst heute für", Zeit_in_Sekunden_1, Grund_1, "!")
break
My idea:
raw_seconds_from_C2 = sheet['C2'].value
Then somehow convert to minutes from raw_seconds_from_C2
I am really out of ideas as I then need to put the converted minutes into a print().
Divide the value by 60 to obtain minutes from seconds:
c2_minutes = sheet['C2'].value / 60
Thanks to #Alonso's comment on the question.
I am trying to change the code in a phyton script for OBS studio to show the dates of coming events from a google calendar. But the output to OBS Studio only shows the same (last) date on every event. The script log shows it as it should be thou...
After struggling to find a way to convert the dictionary items to print in a way that I wanted to show it, I finally thought I had made it work the way I wanted.
I am new to python and have basically just searched for answers to how to solve what I needed to change in the code.
It took me days to find out about datetime.datetime and how strftime could work together, and that I needed to upgrade Dateutil to a more recent version to not get some of the errors I got.
Anyway, since I am new to coding and most of this script has been written by someone else it is somewhat hard for me to see where this problem lies.
it works as it should in the script log but the date in "stime" becomes the same for every event when I send it to "text" in OBS Studio.
If anyone could help me with a solution to this, I would be very happy.
# Time objects using datetime
dt_now = dt.utcnow()
now = dt.utcnow().isoformat() + 'Z' # 'Z' indicates UTC time
#Timeformat
locale.setlocale(locale.LC_TIME, "sv_SE") # swedish
tmfmt = '%d %B, %H:%M '
# Gets events currently happending by setting bounds to events happening within a second of current datetime
events = service.events().list(calendarId=cal_url, timeMin=now, timeMax=(dt_now+datetime.timedelta(7,1)).isoformat() +'Z',
maxResults=max_events, singleEvents=True, orderBy='startTime').execute()
# Logs the events to console
for event in events['items']:
mystart = (event['start']['dateTime'])
stime = dt.strftime(dtparse(mystart), format=tmfmt)
print(stime)
#print(datetime.datetime.utcnow().date())
#print (event['start']['dateTime'])
print(event['summary'])
#print(dt_now("%d %b, %Y"))
# Updates the text for each event
count = 0
stream_event_happening = False
record_event_happening = False
for event in events['items']:
if(count >= max_events):
break
text = stime + "\n" + event['summary']
settings = obs.obs_data_create()
obs.obs_data_set_string(settings, "text", text)
source = obs.obs_get_source_by_name(source_names[count])
obs.obs_source_update(source, settings)
obs.obs_data_release(settings)
obs.obs_source_release(source)
settings2 = obs.obs_data_create()
obs.obs_data_set_string(settings2, "file", "{}/{}.jpg".format(images_path, text))
source2 = obs.obs_get_source_by_name(image_sources[count])
obs.obs_source_update(source2, settings2)
obs.obs_data_release(settings2)
obs.obs_source_release(source2)
count += 1
text = stime + "\n" + event['summary']
shows only the same date but different events...
Wow, just a few minutes later I found a solution on my own... I added:
mystart = (event['start']['dateTime'])
stime = dt.strftime(dtparse(mystart), format=tmfmt)
just before:
text = stime + "\n" + event['summary']
and now it works as it should :)
I have a csv file with date and time. I want to give specific timeinterval (60min) in between time range (start time and end time). I wrote a code with a date. But it gives me an error Number of samples, -5, must be non-negative. Then I checked with separate csv file with less data. Then I found that I have time like 9:53 , 10:20 ,11:42 .... Then when I'm dividing to find num_periods then its give me an error.
example
take date range like
2018 /8/6 start time is 6:00
2018/8/6 end time is 23:52
then it between I have time like 7:00, 8:52,10:42 so on.
after that in next day I have a time period like this.
So when I tried to find a num_periods then it give me this error.
I want to specify time in between this time_range
(start_time+time_interval(3600 in seconds (60min)) in between time_range)
Can anyone give me solution for this?
my code is,
time_interval = 3600
date_array = []
date_array.append(pd.to_datetime(data['date'][0]).date())
start_time = []
end_time = []
temp_date = pd.to_datetime(data['date'][0]).date()
start_time.append(pd.to_datetime(data['time'][0], format='%H:%M:%S').time())
for i in range(len(data['date'])):
cur_date = pd.to_datetime(data['date'][i]).date()
if( cur_date > temp_date):
end_time.append(pd.to_datetime(data['time'][i-1], format='%H:%M:%S').time())
start_time.append(pd.to_datetime(data['time'][i], format='%H:%M:%S').time())
date_array.append(cur_date)
temp_date = cur_date
end_time.append(pd.to_datetime(data['time'][len(data['date'])-1], format='%H:%M:%S').time())
datetime_array = []
for i in range(len(date_array)):
s_time = datetime.datetime.combine(date_array[i],start_time[i])
e_time = datetime.datetime.combine(date_array[i], end_time[i])
timediff = (e_time - s_time)
num_periods = int(timediff.total_seconds()/time_interval) +1
time_list = pd.date_range(start=s_time, end = e_time, periods=num_periods ).to_pydatetime()
datetime_array.extend(time_list)
error:
subset of my csv file
It looks like num_periods is negative:
num_periods = int(timediff.total_seconds()/time_interval) + 1
the easiest solution is to take the abs value instead:
num_periods = abs(int(timediff.total_seconds()/time_interval)) + 1
Note: that date_range supports ranges in reverse order (where start > end).
I have a file (termino.txt) that is all filled in the following format :
pay the bill
2015-08-30T13:22:53.108Z
Go to the doctor
2015-09-30T13:22:53.108Z
....
All the even lines are of the form RFC 3339 timestamp. What I need is to compare today's date with these dates the file to see if they are the same. I'm trying this:
local function verifica(evt)
local nome= ''
local dia = ''
local turn = 1
local data = os.date("%x")
local file = io.open("termino.txt", "r")
while true do
nome = dia
line = file:read()
dia = line
if (turn %2 == 0) then
> Here I need to compare "data" with "dia" that will receive string with RFC 3339 timestamp format.
end
turn ++
end
end
I need help to make this comparison! Thanks
local dia = '2015-10-6T13:22:53.108Z'
-- parse date info from the RFC 3339 timestamp
local year, month, day = dia:match('(%d+)-(%d+)-(%d+)')
-- get today's date from Lua, in table format
local today = os.date('*t')
-- compare
if tonumber(year) == today.year
and tonumber(month) == today.month
and tonumber(day) == today.day then
-- the dates match
end
The data in my Excel files is supposed to be contentious (index in the first column). But some data is missing in the file. For example, # 5, and 6 are missing between $ 4 and 7. My purpose are (1) identify the file with missing data and (2) if data is missing insert rows to make it continuous. Can anyone tell me how to add in rows in the existing data? Using xlswrite I can only add in rows at the end of the file or replace some rows.
EDIT 1:
I have another set of file in which the index is not so direct. The first 3 columns are described below (as shown in the Excel file):
Column 1:Year: 2003 (read as number in matlab)
Column 2:Date: 1-Sep (read as text in matlab)
Column 3:Time: 1:00 (1:00 read as number 0.04167 and 2:00 read as 0.0833, not sure how it works)
Then the way to tell if it is continuous will be quite complicate since there will be different years, months, and days. Could you give some hint on this?
Basically you need to read the entire data, preferably in raw(cell) format, add the missing rows(with respect to the indices) and write back.
Based on your question, this code might work -
% NOTE: We are assuming that the indexing starts with 1
% Read data from input excel file with missing indices
[num,txt,raw] = xlsread('input.xls');
% Error-checking
if (size(num,1)-num(end,1)~=0)
disp('At least one index is missing!');
end
% Expand data such that all indices are covered.
data1=NaN(num(end,1),size(raw,2));
data1(:,1) = 1:num(end,1);
data1=num2cell(data1);
k1=1;
for k = 1:num(end,1)
if(num(k1,1)==k)
data1(k,:)= raw(k1,:);
k1 = k1+1;
end
end
% Write data
xlswrite('output.xls',data1);
EDIT 1:
In view of your new requirements, additional code is added next.
Please note few things about this code -
The code adds data for every year and not from a specific month, date and time to another specific month, date and time. If you wish to achieve that, please edit the associated
function - 'create_comp_sheet'.
It saves an intermediate file named - 'proper_base_data.xls', which maybe deleted at the end of the code.
%% MAIN CODE - CODE1.M
INPUT_FILENAME = 'input.xls'; % Excel file that has some missing year,date and time info
OUTPUT_FILENAME = 'output.xls'; % Excel file that has data from the input file along with all the missing year,date and time info
%% Base data
start_year=2003;
end_year=2005;
proper_base_data = create_comp_sheet(start_year,end_year);
xlswrite('proper_base_data.xls',proper_base_data);
[num,txt,raw] = xlsread('proper_base_data.xls');
base_data=cell(size(num,1),1);
for row_ID = 1:size(num,1)
base_data(row_ID) = {strcat(num2str(cell2mat(raw(row_ID,1))),'-', cell2mat(raw(row_ID,2)),'-',num2str(round(24*cell2mat(raw(row_ID,3)))))};
end
%% Input data
[num,txt,raw] = xlsread(INPUT_FILENAME);
input_data=cell(size(num,1),1);
for row_ID = 1:size(num,1)
input_data(row_ID) = {strcat(num2str(cell2mat(raw(row_ID,1))),'-', cell2mat(raw(row_ID,2)),'-',num2str(round(24*cell2mat(raw(row_ID,3)))))};
end
%% Setup final data
final_data = num2cell(NaN(size(proper_base_data,1),size(raw,2)));
final_data(:,1:3) = proper_base_data;
for k1=1:size(input_data,1)
for k2=1:size(base_data,1)
if strcmp(cell2mat(base_data(k2)),cell2mat(input_data(k1)))
final_data(k2,4:end) = raw(k1,4:end);
end
end
end
%% Write final data to excel
xlswrite(OUTPUT_FILENAME,final_data);
Associated function -
function data1 = create_comp_sheet(start_year,end_year)
months_string = {'Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'};
date_count = [31 28 31 30 31 30 31 31 30 31 30 31];
num_hours = 24;
data1=[];
for year_ID = start_year:end_year
for month_ID = 1:numel(months_string)
days_per_month = date_count(month_ID);
if rem(year_ID,4)==0 && month_ID ==2
days_per_month = days_per_month+1;
end
for date_ID = 1:days_per_month
year = repmat({num2str(year_ID)},[num_hours 1]);
date = repmat({strcat(num2str(date_ID),'-',char(months_string(month_ID)))},[num_hours 1]);
time=cell(num_hours,1);
for k = 1:num_hours
time(k) = {strcat(num2str(k),':00')};
end
data1 = [data1 ; [year date time]];
end
end
end
return;
Hope this saves all your troubles!