I am currently working on a project which uses facial recognition to record class attendance. The second block of codes below are for tracking(recognizing the faces in the video feed) but i keep getting the error in the third block. I think it has to do with my indexing and I'm not sure where the problem is coming from.
This is the code i used forcreating the StudentDetails.csv
res = "Images Saved for ID : " + Id +" Name : "+ name
row = [Id, name]
with open('StudentDetails\StudentDetails.csv','a+') as csvFile:
writer = csv.writer(csvFile)
writer.writerow(row)
csvFile.close()
message.configure(text= res)
else:
if(is_number(Id)):
res = "Enter Alphabetical Name"
message.configure(text= res)
if(name.isalpha or name.isspace()):
res = "Enter Numeric Id"
message.configure(text= res)
This the block of code for tracking
def TrackImages():
recognizer = cv2.face.LBPHFaceRecognizer_create()#cv2.createLBPHFaceRecognizer()
recognizer.read("TrainingImageLabel\Trainner.yml")
harcascadePath = "haarcascade_frontalface_default.xml"
faceCascade = cv2.CascadeClassifier(harcascadePath);
df=pd.read_csv("StudentDetails\StudentDetails.csv")
cam = cv2.VideoCapture(0)
font = cv2.FONT_HERSHEY_SIMPLEX
col_names = ['Id','Name','Date','Time']
attendance = pd.DataFrame(columns = col_names)
while True:
ret, img =cam.read()
gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
faces=faceCascade.detectMultiScale(gray, 1.2,5)
for(x,y,w,h) in faces:
cv2.rectangle(img,(x,y),(x+w,y+h),(225,0,0),2)
Id, conf = recognizer.predict(gray[y:y+h,x:x+w])
if(conf < 50):
ts = time.time()
date = datetime.datetime.fromtimestamp(ts).strftime('%Y-%m-%d')
timeStamp = datetime.datetime.fromtimestamp(ts).strftime('%H:%M:%S')
aa=df.loc[df['Id'] == Id]['Name'].values
tt=str(Id)+"-"+aa
attendance.loc[len(attendance)] = [Id,aa,date,timeStamp]
else:
Id='Unknown'
tt=str(Id)
if(conf > 75):
noOfFile=len(os.listdir("ImagesUnknown"))+1
cv2.imwrite("ImagesUnknown\Image"+str(noOfFile) + ".jpg", im[y:y+h,x:x+w])
cv2.putText(img,str(tt),(x,y+h), font, 1,(255,255,255),2)
attendance=attendance.drop_duplicates(subset=['Id'],keep='first')
cv2.imshow('frame',img)
if (cv2.waitKey(1)==ord('q')):
break
ts = time.time()
date = datetime.datetime.fromtimestamp(ts).strftime('%Y-%m-%d')
timeStamp = datetime.datetime.fromtimestamp(ts).strftime('%H:%M:%S')
Hour,Minute,Second=timeStamp.split(":")
fileName="Attendance\Attendance_"+date+"_"+Hour+"-"+Minute+"-"+Second+".csv"
attendance.to_csv(fileName,index=False)
cam.release()
cv2.destroyAllWindows()
#print(attendance)
res=attendance
message2.configure(text= res)
This is the error i got for this code:
Exception in Tkinter callback
Traceback (most recent call last):
File "C:\Users\IFEANYI\AppData\Local\Programs\Python\Python38-32\lib\site-packages\pandas\core\indexes\base.py", line 2646, in get_loc
return self._engine.get_loc(key)
File "pandas\_libs\index.pyx", line 111, in pandas._libs.index.IndexEngine.get_loc
File "pandas\_libs\index.pyx", line 138, in pandas._libs.index.IndexEngine.get_loc
File "pandas\_libs\hashtable_class_helper.pxi", line 1619, in pandas._libs.hashtable.PyObjectHashTable.get_item
File "pandas\_libs\hashtable_class_helper.pxi", line 1627, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'Id'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\IFEANYI\AppData\Local\Programs\Python\Python38-32\lib\tkinter\__init__.py", line 1883, in __call__
return self.func(*args)
File "C:\Users\IFEANYI\Documents\yr 4 semester 2\FR2\ifeanyi train.py", line 184, in TrackImages
aa=df.loc[df['Id'] == Id]['Name'].values
File "C:\Users\IFEANYI\AppData\Local\Programs\Python\Python38-32\lib\site-packages\pandas\core\frame.py", line 2800, in __getitem__
indexer = self.columns.get_loc(key)
File "C:\Users\IFEANYI\AppData\Local\Programs\Python\Python38-32\lib\site-packages\pandas\core\indexes\base.py", line 2648, in get_loc
return self._engine.get_loc(self._maybe_cast_indexer(key))
File "pandas\_libs\index.pyx", line 111, in pandas._libs.index.IndexEngine.get_loc
File "pandas\_libs\index.pyx", line 138, in pandas._libs.index.IndexEngine.get_loc
File "pandas\_libs\hashtable_class_helper.pxi", line 1619, in pandas._libs.hashtable.PyObjectHashTable.get_item
File "pandas\_libs\hashtable_class_helper.pxi", line 1627, in strong textpandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'Id'
This is a snapshot of StudentDetails.csv
StudentDetails.csv
Related
I want to move some xls data into json. I can't just use a ready solution, since this is a bit of a special case.
Here's the excel
Here's the code:
import pandas
xl = pandas.ExcelFile("./data/file.xlsx")
df = xl.parse("2")
x = df["XX"][0]
print(x)
# writing to file
text_file = open("json_files/Output.json", "w")
# text_file.write(json_str)
text_file.close()
Here's the error I'm getting:
Traceback (most recent call last):
File "C:\Users\aironsid\Documents\Capgemini\Excel_to_Json\venv\lib\site-packages\pandas\core\indexes\base.py", line 2646, in get_loc
return self._engine.get_loc(key)
File "pandas\_libs\index.pyx", line 111, in pandas._libs.index.IndexEngine.get_loc
File "pandas\_libs\index.pyx", line 138, in pandas._libs.index.IndexEngine.get_loc
File "pandas\_libs\hashtable_class_helper.pxi", line 1619, in pandas._libs.hashtable.PyObjectHashTable.get_item
File "pandas\_libs\hashtable_class_helper.pxi", line 1627, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'XX'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "excelToJson.py", line 5, in <module>
x = df["XX"][0]
File "C:\Users\aironsid\Documents\Capgemini\Excel_to_Json\venv\lib\site-packages\pandas\core\frame.py", line 2800, in __getitem__
indexer = self.columns.get_loc(key)
File "C:\Users\aironsid\Documents\Capgemini\Excel_to_Json\venv\lib\site-packages\pandas\core\indexes\base.py", line 2648, in get_loc
return self._engine.get_loc(self._maybe_cast_indexer(key))
File "pandas\_libs\index.pyx", line 111, in pandas._libs.index.IndexEngine.get_loc
File "pandas\_libs\index.pyx", line 138, in pandas._libs.index.IndexEngine.get_loc
File "pandas\_libs\hashtable_class_helper.pxi", line 1619, in pandas._libs.hashtable.PyObjectHashTable.get_item
File "pandas\_libs\hashtable_class_helper.pxi", line 1627, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'XX'
It seems to not be able to find the column name.
I'm using this video as reference
import pandas
xl = pandas.ExcelFile("file.xlsx")
# df = xl.parse("Text")
# print(df.columns)
# # x = df["XX"][0]
# # print(x)
df = pandas.Dataframe(xl)
print(df.columns)
# if you can see the columns
print(df["XX"])
# if this is success
dictionary = {"XX": list(df["XX"])}
# writing to file
text_file = open("json_files/Output.json", "w")
# text_file.write(json_str)
text_file.close()
please try this
df = pd.Dataframe(xl)
print(df.columns)
# if you can see the columns
print(df["XX"])
# if this is success
dictionary = {"XX": list(df["XX"])}
As mentioned in comments, you need to translate the starting point of A1 to B7 in your case. This can be achieved with the "skiprows" parameter of pandas.ExcelFile.parse and the index_col parameter:
import pandas
xl = pandas.ExcelFile("path\to\your\file.xlsx")
df = xl.parse("YourSheetName",index_col=1,skiprows=7)
For more documentation/parameters see pandas docs
This is the full code that I have tried to run.
It runs all well but there is error in the 2nd line from the bottom
count_matrix = count.fit_transform(df['bag_of_words'])
I also don't know where this bag_of_word comes from..Please suggest Code Edit..
import pandas as pd
from rake_nltk import Rake
import numpy as np
from sklearn.metrics.pairwise import cosine_similarity
from sklearn.feature_extraction.text import CountVectorizer
df = pd.read_csv('https://query.data.world/s/uikepcpffyo2nhig52xxeevdialfl7')
df = df[['Title','Genre','Director','Actors','Plot']]
df.head()
# initializing the new column
df['Key_words'] = ""
for index, row in df.iterrows():
plot = row['Plot']
r = Rake()
r.extract_keywords_from_text(plot)
key_words_dict_scores = r.get_word_degrees()
row['Key_words'] = list(key_words_dict_scores.keys())
df.drop(columns = ['Plot'], inplace = True)
count = CountVectorizer()
count_matrix = count.fit_transform(df['bag_of_words'])
cosine_sim = cosine_similarity(count_matrix, count_matrix)
The error is as follows
Traceback (most recent call last):
File "C:\Python38\lib\site-packages\pandas\core\indexes\base.py", line 2897, in get_loc
return self._engine.get_loc(key)
File "pandas/_libs/index.pyx", line 107, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/index.pyx", line 131, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/hashtable_class_helper.pxi", line 1607, in pandas._libs.hashtable.PyObjectHashTable.get_item
File "pandas/_libs/hashtable_class_helper.pxi", line 1614, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'bag_of_words'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "movie2.py", line 36, in <module>
count_matrix = count.fit_transform(df['bag_of_words'])
File "C:\Python38\lib\site-packages\pandas\core\frame.py", line 2995, in __getitem__
indexer = self.columns.get_loc(key)
File "C:\Python38\lib\site-packages\pandas\core\indexes\base.py", line 2899, in get_loc
return self._engine.get_loc(self._maybe_cast_indexer(key))
File "pandas/_libs/index.pyx", line 107, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/index.pyx", line 131, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/hashtable_class_helper.pxi", line 1607, in pandas._libs.hashtable.PyObjectHashTable.get_item
File "pandas/_libs/hashtable_class_helper.pxi", line 1614, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'bag_of_words'
Please tell me what to do?
so basically what I'm trying to do is read a column from a csv file to an array then do calculations with that array. I have successfully gotten the array 'rawSunlightData' from the csv file but for some reason every time I try to select a variable from 'raySunlightData' array I get the error [During handling of the above exception, another exception occured] I can print the whole rawSunlightData but can't print individual values like rawSunlightData[0]
cleanSunlightData = []
rawSunlightData = pd.read_csv('Average daily sunlight per month.csv', header = None)
rawSunlightData = rawSunlightData.drop(rawSunlightData.columns[[0]], axis=1)
print(rawSunlightData[0])
i = 0
while i <= len(rawSunlightData):
arrayDivider = []
m = 0
while m < 12:
x = i + m
print(x)
m += 1
i += 12
the error message is
Traceback (most recent call last):
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3078, in get_loc
return self._engine.get_loc(key)
File "pandas/_libs/index.pyx", line 140, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/index.pyx", line 162, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/hashtable_class_helper.pxi", line 958, in pandas._libs.hashtable.Int64HashTable.get_item
File "pandas/_libs/hashtable_class_helper.pxi", line 964, in pandas._libs.hashtable.Int64HashTable.get_item
KeyError: 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/kennethwong/Desktop/Singapore crop yield /Downloaded data/Data cleaner.py", line 67, in <module>
cleanSunlightData()
File "/Users/kennethwong/Desktop/Singapore crop yield /Downloaded data/Data cleaner.py", line 46, in cleanSunlightData
print(rawSunlightData[0])
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/pandas/core/frame.py", line 2688, in __getitem__
return self._getitem_column(key)
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/pandas/core/frame.py", line 2695, in _getitem_column
return self._get_item_cache(key)
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/pandas/core/generic.py", line 2489, in _get_item_cache
values = self._data.get(item)
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/pandas/core/internals.py", line 4115, in get
loc = self.items.get_loc(item)
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3080, in get_loc
return self._engine.get_loc(self._maybe_cast_indexer(key))
File "pandas/_libs/index.pyx", line 140, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/index.pyx", line 162, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/hashtable_class_helper.pxi", line 958, in pandas._libs.hashtable.Int64HashTable.get_item
File "pandas/_libs/hashtable_class_helper.pxi", line 964, in pandas._libs.hashtable.Int64HashTable.get_item
KeyError: 0
its okay guy I found out why, im still new to coding so I make mistakes... when you pull data from csv file and store it in a data frame, it is NOT an array ! you will have to convert it to an array by array.to_records()
I am receiving the following error related to a Key Error. I have a large data set (in the realm of 10 million records) and I am trying to filter only the records that contain a key word in the 'tags' field. I am able to compare for matching key words easily, but to parse for including key words seems to be quite difficult and any of the methods I have tried that I found on SO throw an error. I am new to Pandas so please forgive me if I am committing a cardinal sin. (Took BigData in university and we worked mostly in Spark. I realize the code is a bit hacky right now just trying to get it to function)
Notes: 1 The data is stored across quarterly files so I am iterating over the files and con-concatenating the results (which is the reason for the index and the counter) 2 I commented out the lines that allow me to parse for exact matches (#is_goodwill = data_frame['tag'] == word_of_interest && #good_will_relation = data_frame[is_goodwill])
Goal: Filter for records containing key word word_of_interest
It does not have to be an exact match to the key word, but rather contain the keyword. Code is below the error
Error
Traceback (most recent call last):
File "C:\Users\tyler\Anaconda3\lib\site-packages\pandas\core\indexes\base.py", line 2525, in get_loc
return self._engine.get_loc(key)
File "pandas/_libs/index.pyx", line 117, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/index.pyx", line 139, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/hashtable_class_helper.pxi", line 1265, in pandas._libs.hashtable.PyObjectHashTable.get_item
File "pandas/_libs/hashtable_class_helper.pxi", line 1273, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'tags'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "parsePandasSECData.py", line 64, in <module>
main()
File "parsePandasSECData.py", line 42, in main
good_will_relation = data_frame[data_frame['tags'].str.contains(word_of_interest)]
File "C:\Users\tyler\Anaconda3\lib\site-packages\pandas\core\frame.py", line 2139, in __getitem__
return self._getitem_column(key)
File "C:\Users\tyler\Anaconda3\lib\site-packages\pandas\core\frame.py", line 2146, in _getitem_column
return self._get_item_cache(key)
File "C:\Users\tyler\Anaconda3\lib\site-packages\pandas\core\generic.py", line 1842, in _get_item_cache
values = self._data.get(item)
File "C:\Users\tyler\Anaconda3\lib\site-packages\pandas\core\internals.py", line 3843, in get
loc = self.items.get_loc(item)
File "C:\Users\tyler\Anaconda3\lib\site-packages\pandas\core\indexes\base.py", line 2527, in get_loc
return self._engine.get_loc(self._maybe_cast_indexer(key))
File "pandas/_libs/index.pyx", line 117, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/index.pyx", line 139, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/hashtable_class_helper.pxi", line 1265, in pandas._libs.hashtable.PyObjectHashTable.get_item
File "pandas/_libs/hashtable_class_helper.pxi", line 1273, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'tags'
Code
import pandas as pd
import os.path
import time
import csv
def main():
start_time = time.time()
file_path = "C:/Users/TA/Desktop/Data/"
word_of_interest = "ShareholdersEquity"
NUM_FILE_NAME = "number.csv"
SUB_FILE_NAME = "subnumber.csv"
quarterly_list = ['Q1', 'Q2', 'Q3', 'Q4']
all_concat_data = None
pd.set_option('display.max_row', 1000)
for counter in range(9,19):
for index in range(len(quarterly_list)):
#iterates over all file locations
num_file_path = file_path + quarterly_list[index] + str(counter) + '/' + NUM_FILE_NAME
sub_file_path = file_path + quarterly_list[index] + str(counter) + '/' + SUB_FILE_NAME
if os.path.exists(num_file_path) and os.path.exists(sub_file_path):
print('Starting ' + quarterly_list[index] + str(counter) + ' Data')
#Load data
data_frame = pd.read_csv(num_file_path, dtype={'adsh': str, 'tag': str, 'version coreg': str, 'ddate': int, 'qtrs': int, 'uom': str, 'value': float, 'footnote': str}, \
header=0, delimiter='\t', low_memory= False, encoding= 'ISO-8859-1')
#Comparative Data
transaction_descriptions = pd.read_csv(sub_file_path, dtype={'adsh': str}, header = 0, delimiter = '\t', low_memory=False, encoding='ISO-8859-1')
#is_goodwill = data_frame['tag'] == word_of_interest
#good_will_relation = data_frame[is_goodwill]
good_will_relation = data_frame[data_frame['tags'].str.contains(word_of_interest)]
captured_data = good_will_relation.merge(transaction_descriptions, how='inner', left_on='adsh', right_on='adsh')
if all_concat_data is not None:
all_concat_data = pd.concat([all_concat_data,captured_data])
else:
all_concat_data = captured_data
else:
print(quarterly_list[index] + str(counter) + ' Does not exist...Skipping')
print('Starting Writer operation')
writer = pd.ExcelWriter('output.xlsx')
all_concat_data.to_excel(writer, 'Sheet1')
print("--- %s seconds ---" % (time.time() - start_time))
if __name__ == "__main__":
main()
I am trying to map emotions from one dataset to another and drop everything that is bigger than 6 in the current dataset. How should I fix this error?
import pandas as pd
csv_file = 'sample.csv'
count = 1
my_filtered_csv = pd.read_csv(csv_file, usecols=['subDirectory_filePath', 'expression'])
#my_filtered_csv['expression'] = my_filtered_csv['expression'].map({ '0':'6', '1':'3', '2':'4', '3':'5', '4':'2', '5':'1', '6':'0'})
df = pd.DataFrame(columns=['subDirectory_filePath', 'expression'])
print(my_filtered_csv.dtypes.index)
filtered_csv = my_filtered_csv[my_filtered_csv.expression <= 6 ]
for i in range(len(filtered_csv['expression'])):
if filtered_csv['expression'][i]==0:
filtered_csv['expression'][i] = 6
elif filtered_csv['expression'][i]==1:
filtered_csv['expression'][i] = 3
elif filtered_csv['expression'][i]==2:
filtered_csv['expression'][i] = 4
elif filtered_csv['expression'][i]==3:
filtered_csv['expression'][i] = 5
elif filtered_csv['expression'][i]==4:
filtered_csv['expression'][i] = 2
elif filtered_csv['expression'][i]==5:
filtered_csv['expression'][i] = 1
elif filtered_csv['expression'][i]==6:
filtered_csv['expression'][i] = 0
print(len(my_filtered_csv))
print('****')
for val in df['expression']:
print(val)
emotion_map = { '0':'6', '1':'3', '2':'4', '3':'5', '4':'2', '5':'1', '6':'0'}
print(emotion_map)
for key, value in emotion_map.items():
print(key,' : ', value)
'''
affectnet
0: Neutral,
1: Happiness,
2: Sadness,
3: Surprise,
4: Fear,
5: Disgust,
6: Anger,
7: Contempt,
8: None,
9: Uncertain,
10: No-Face
FER13
(0=Angry, 1=Disgust, 2=Fear, 3=Happy, 4=Sad, 5=Surprise, 6=Neutral).
0-->6
1-->3
2-->4
3-->5
4-->2
5-->1
6-->0
'''
Error is:
Index(['subDirectory_filePath', 'expression'], dtype='object')
Traceback (most recent call last):
File "/Users/mona/anaconda/lib/python3.6/site-packages/pandas/core/series.py", line 778, in _set_with_engine
self.index._engine.set_value(values, key, value)
File "pandas/_libs/index.pyx", line 116, in pandas._libs.index.IndexEngine.set_value
File "pandas/_libs/index.pyx", line 124, in pandas._libs.index.IndexEngine.set_value
File "pandas/_libs/index.pyx", line 154, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/hashtable_class_helper.pxi", line 1210, in pandas._libs.hashtable.PyObjectHashTable.get_item
File "pandas/_libs/hashtable_class_helper.pxi", line 1218, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/mona/anaconda/lib/python3.6/site-packages/pandas/core/indexes/base.py", line 2442, in get_loc
return self._engine.get_loc(key)
File "pandas/_libs/index.pyx", line 132, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/index.pyx", line 154, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/hashtable_class_helper.pxi", line 1210, in pandas._libs.hashtable.PyObjectHashTable.get_item
File "pandas/_libs/hashtable_class_helper.pxi", line 1218, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/mona/anaconda/lib/python3.6/site-packages/pandas/core/series.py", line 719, in setitem
self._set_with_engine(key, value)
File "/Users/mona/anaconda/lib/python3.6/site-packages/pandas/core/series.py", line 781, in _set_with_engine
values[self.index.get_loc(key)] = value
File "/Users/mona/anaconda/lib/python3.6/site-packages/pandas/core/indexes/base.py", line 2444, in get_loc
return self._engine.get_loc(self._maybe_cast_indexer(key))
File "pandas/_libs/index.pyx", line 132, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/index.pyx", line 154, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/hashtable_class_helper.pxi", line 1210, in pandas._libs.hashtable.PyObjectHashTable.get_item
File "pandas/_libs/hashtable_class_helper.pxi", line 1218, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/mona/CS585/project/affnet/emotion_map.py", line 17, in <module>
df['expression'][i] = 3
File "/Users/mona/anaconda/lib/python3.6/site-packages/pandas/core/series.py", line 771, in __setitem__
setitem(key, value)
File "/Users/mona/anaconda/lib/python3.6/site-packages/pandas/core/series.py", line 728, in setitem
values[key] = value
IndexError: index 0 is out of bounds for axis 0 with size 0
Process finished with exit code 1
A few lines of the cvs is:
,subDirectory_filePath,expression
0,689/737db2483489148d783ef278f43f486c0a97e140fc4b6b61b84363ca.jpg,1
1,392/c4db2f9b7e4b422d14b6e038f0cdc3ecee239b55326e9181ee4520f9.jpg,0
2,468/21772b68dc8c2a11678c8739eca33adb6ccc658600e4da2224080603.jpg,0
3,944/06e9ae8d3b240eb68fa60534783eacafce2def60a86042f9b7d59544.jpg,1
4,993/02e06ee5521958b4042dd73abb444220609d96f57b1689abbe87c024.jpg,8
I think this error comes from your [i] notation, which is trying to look for the DataFrame index value of 0, which doesn't exist. Try replacing every instance of [i] with .iloc[i].
Also, you should be able to replace the for loop with much more compact, readable, and less error-prone code, especially since you define emotion_map but use it only for output. Try changing the mapping from strings to integers with emotion_map = { 0:6, 1:3, 2:4, 3:5, 4:2, 5:1, 6:0}, then move it to just under filtered_csv = ..., and replace that for loop with
filtered_csv['expression'] = filtered_csv['expression'].replace(emotion_map)
Pandas Dataframe should always be used with iloc as it does not support to indexing with 0.
I faced the same issue when there was only single element & I was trying to access that single element by prefixing 0......
Easy thing to do is also to convert your dataframe to an numpy array
df=np.array(df)
then you can use your for loop without any problems
In my situation error is raised because I trying to create series inside for loop.
So solution of this case is to create series outside the for loop, and then populate it inside for loop as I want it to be