The problem is because you haven’t indented your code properly. Python code relies upon correct indentation to determine the order of processing for commands. Currently your code checks row1 value even if you didnt select row1, but you define row1 based on selecting it from the input. You need to indent the if statements under … Read more
Are you able to include any more of your code. i.e. Have you created a forms.py file? I presume you will be creating ModelForms? If you have you can do something like this: from django.forms import widget Class DateInput(forms.DateInput): input_type=”date” Class Example(models.ModelForm): class Meta: #insert class Meta below model = #reference your model fields = … Read more
I think your problem is in the last few lines: for i in range(len(tuples)): for x in range(len(tuples[i][1])): […] for neighbor in neighbors: for i in range(len(neighbor)-1): #<- HERE […] Your outer loop is iterating over the index of tuples and stores this index in the variable i. The nested loop at the end overwrites … Read more
You can do it simply like this: In Python 3.x : print(” “*(70 – len(s)) + s) And like this in Python 2.x : print ” “*(70 – len(s)) + s 3 solved Exercises 3.3 from Think Python [closed]
You have a typo “Los_Angeles” != “Los Angeles” But more importantly you don’t have an else case to handle the situation where they enter a city that is not in your list solved unsupported operand type(s) for +: ‘int’ and ‘NoneType’
json1_text = [v for i in json_data for k,v in i.items() if isinstance(v,str)] print (json1_text) Result: [‘Salam’, ‘Hello Friend’] 0 solved .get() returning letters rather than strings
In Python 2.7, you have: line = raw_input(“Please input a new line: “) In Python 3.5+, you have: line = input(“Please input a new line: “) Both raw_input and input return a string object. You need to parse/scan line to retrieve your data. MESSAGE = “Please input a new line: ” # I comprehend that … Read more
Why does indentation matter? In Python, indentation is used to delimit blocks of code. This is different from many other languages that use curly braces {} to delimit blocks such as Java, Javascript, and C. Because of this, Python users must pay close attention to when and how they indent their code because whitespace matters. … Read more
This line: i = word.find(letter) always finds the first occurrence of letter in word, and this line: start = indeces.index(i) always finds the first occurrence of i in indeces. Then, this line: index=word.find(letter,start) includes start, so just finds the same letter straight away! The only way to make your current code work would be to … Read more
When you merge your dataframes, you are doing a join on values that are not unique. When you are joining all these dataframes together, you are getting many matches. As you add more and more currencies you are getting something similar to a Cartesian product rather than a join. In the snippet below, I added … Read more
Thanks @aarni joensuu. Turns out I should add global top in those functions only then the change will be made to the overall variable. solved is ‘if top==None:top=1’ correct
You can just use regex, example: import re # Example 1: word5 example_string = ‘word5 word5555′ only_word5 = re.findall(r’word5\b’, example_string) print(only_word5) 2 solved How to find a word and only this word? [closed]
If you have it as datetimeobject: datos[‘day’] = dados[‘time’].dt.date datos[‘time’] = dados[‘time’].dt.time If you have it as string object: datos[‘day’] = dados[‘time’].str[:11] datos[‘time’] = dados[‘time’].str[11:] Or data[[‘day’, ‘time’]] = data[‘time’].str.split(‘ ‘).apply(pd.Series) data[[‘day’, ‘time’]] = data[‘time’].str.split(‘ ‘, expand=True) Or using regex data[[‘day’, ‘time’]] = data[‘time’].str.extract(‘(.*) (.*)’) To convert it to string: datos[‘time’] = dados[‘time’].astype(str) It is … Read more
niter is the variable name you are using for your loop. If you change it to i, it will result in the very same behavior you are experiencing, since you do not use the loop variable inside the loop. If you were using niter inside the loop, then changing it to i in the for … Read more
Below is tested and fully working code of yours: data_train = pd.read_csv(r”train.csv”) data_test = pd.read_csv(r”test.csv”) columns = [‘Id’, ‘HomeTeam’, ‘AwayTeam’, ‘Full_Time_Home_Goals’] col = [‘Id’, ‘HomeTeam’, ‘AwayTeam’] data_test = data_test[col] data_train = data_train[columns] data_train = data_train.dropna() data_test = data_test.dropna() data_train[‘Full_Time_Home_Goals’] = data_train[‘Full_Time_Home_Goals’].astype(int) from sklearn import preprocessing def encode_features(df_train, df_test): features = [‘HomeTeam’, ‘AwayTeam’] df_combined = pd.concat([df_train[features], … Read more