Add files via upload

calendarAnalysis.py

@@ -0,0 +1,65 @@
+import plotly
+import plotly.plotly as py
+import pandas as pd
+import xlrd
+import plotly.graph_objs as go
+
+
+'''
+Cole's plots every category quantity over time
+
+Mine: Checks to see if same location at same time.
+- Raises warnings if they are very similar
+- Raises alert if they are the same.
+
+Example locations
+
+Olin 149
+Waverly, Iowa - Prairie Links Golf Course
+Larson Meeting Room (WCC236)
+Weitz Cinema
+Building name
+Room name
+Leighton #305
+TBD
+
+Runs through year and saves location of each new event in a new list, along with it's id?
+If the location matches a list already made, then it checks the times of the two IDs, and reports if they match
+Doesn't leave wiggle room in location names
+
+
+'''
+
+# Create random data with numpy
+import numpy as np
+
+plotly.tools.set_credentials_file(username="CaptainCrouton89", api_key="QpQSb4FSQnuzS0q5DOSS")
+
+calendarEventsDF = pd.read_excel("yearData.xlsx", skiprows = 0)
+
+"""
+Takes in start and end times and returns list of all numbers between those times
+"""
+def findHours(startTime, endTime):
+    return [i for i in range(int(startTime.strip("0").strip(":")), int(endTime.strip("0").strip(":"))+1)]
+
+print(findHours("03:00", "11:00"))
+
+for index, row in calendarEventsDF.itterows()
+
+
+'''
+N = 500
+random_x = np.linspace(0, 1, N)
+random_y = np.random.randn(N)
+
+# Create a trace
+trace = go.Scatter(
+    x = random_x,
+    y = random_y
+)
+
+data = [trace]
+
+py.plot(data, filename='basic')
+'''

calendarBuilder.py

@@ -5,6 +5,9 @@
 IMPORTANT: WILL CLEAR ALL EVENTS ON WHATEVER CALENDAR IT IS USED ON
 *******************************************************************
 
+
+Author: Silas Rhyneer
+
 Imports calendar data from an excel sheet and exports it to user's choice of
 google calendars. It wipes the calendar, and then uploads all of the excel sheet.
 """
@@ -64,7 +67,7 @@ def insertYearEvents(service, creds, name, location, description, date, startTim
 
 def main():
 
-    calendarEventsDF = pd.read_excel("yearData.xlsx", skiprows = 0)
+    calendarEventsDF = pd.read_excel("yearData.xls", skiprows = 0)
 
     creds = None
     # The file token.pickle stores the user's access and refresh tokens, and is

converter.py

@@ -8,13 +8,39 @@
 
 import xlwt
 import xlrd
-f = open('text.txt', 'r')
+import os
+directory = 'data'
+header = ["name", "date", "link", "startTime", "stopTime", "location", "description", "category"]
 
-header = ["name", "date", "link", "startTime", "stopTime", "location", "description"]
+try:
+    os.remove("yearData.xls")
+except:
+    pass
 
+"""
+Compiles all files onto one .txt file
+"""
+with open('backSlashFile.txt', 'w') as outfile:
+    for filename in os.listdir(directory):
+        if filename.endswith(".txt"):
+            with open(directory + "/" + filename) as infile:
+                for line in infile:
+                    outfile.write(line)
+outfile.close()
+
+with open('backSlashFile.txt', 'r') as infile:
+    with open('allData.txt', 'w') as outfile:
+        for line in infile:
+            outfile.write(line.replace("\\", ""))
+
+f = open('allData.txt', 'r')
 row_list = []
 for row in f:
-    row_list.append(i.replace("#", "").strip(" am").strip(" pm") for i in row.split(","))
+    # row_list.append(i.replace("#", "").strip("am").strip("pm").strip(" ") for i in row.split(","))
+    thisRow = [i for i in row.split(",")]
+    #thisRow[4] = function(thisRow[4])
+    #thisRow[5] = function(thisRow[5])
+    row_list.append(thisRow)
 column_list = zip(*row_list)
 workbook = xlwt.Workbook()
 worksheet = workbook.add_sheet('Sheet1')
@@ -29,5 +55,5 @@
     for item in range(len(column)):
         print(column[item])
         worksheet.write(item+1, i, column[item])
-    workbook.save('Excel.xls')
+    workbook.save('yearData.xls')
     i+=1