Remove duplicate words from dataframe python
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If you're looking to get rid of consecutive duplicates only, this should suffice: Show
Details Regex from here. To remove non-consecutive duplicates, I'd suggest a solution involving the Need to remove duplicates from Pandas DataFrame? If so, you can apply the following syntax to remove duplicates from your DataFrame: df.drop_duplicates() In the next section, you’ll see the steps to apply this syntax in practice. Step 1: Gather the data that contains the duplicatesFirstly, you’ll need to gather the data that contains the duplicates. For example, let’s say that you have the following data about boxes, where each box may have a different color or shape:
As you can see, there are duplicates under both columns. Before you remove those duplicates, you’ll need to create Pandas DataFrame to capture that data in Python. Step 2: Create Pandas DataFrameNext, create Pandas DataFrame using this code: import pandas as pd
boxes = {'Color': ['Green','Green','Green','Blue','Blue','Red','Red','Red'],
'Shape': ['Rectangle','Rectangle','Square','Rectangle','Square','Square','Square','Rectangle']
}
df = pd.DataFrame(boxes, columns = ['Color', 'Shape'])
print(df)
Once you run the code in Python, you’ll get the same values as in step 1: Step 3: Remove duplicates from Pandas DataFrameTo remove duplicates from the DataFrame, you may use the following syntax that you saw at the beginning of this guide: df.drop_duplicates() Let’s say that you want to remove the duplicates across the two columns of Color and Shape. In that case, apply the code below in order to remove those duplicates: import pandas as pd
boxes = {'Color': ['Green','Green','Green','Blue','Blue','Red','Red','Red'],
'Shape': ['Rectangle','Rectangle','Square','Rectangle','Square','Square','Square','Rectangle']
}
df = pd.DataFrame(boxes, columns = ['Color', 'Shape'])
df_duplicates_removed = df.drop_duplicates()
print(df_duplicates_removed)
As you can see, only the distinct values across the two columns remain: But what if you want to remove the duplicates on a specific column, such as the Color column? In that case, you can specify the column name using a subset: df.drop_duplicates(subset=[‘Color’]) So the full Python code to remove the duplicates for the Color column would look like this: import pandas as pd
boxes = {'Color': ['Green','Green','Green','Blue','Blue','Red','Red','Red'],
'Shape': ['Rectangle','Rectangle','Square','Rectangle','Square','Square','Square','Rectangle']
}
df = pd.DataFrame(boxes, columns = ['Color', 'Shape'])
df_duplicates_removed = df.drop_duplicates(subset=['Color'])
print(df_duplicates_removed)
Here is the result: You may want to check the Pandas Documentation to learn more about removing duplicates from a DataFrame. View Discussion Improve Article Save Article View Discussion Improve Article Save Article Sometimes, while working with Python list we can have a problem in which we need to perform removal of duplicated words from string list. This can have application when we are in data domain. Let’s discuss certain ways in which this task can be performed. Method #1 : Using set() + split() + loop The combination of above methods can be used to perform this task. In this, we first split each list into combined words and then employ set() to perform the task of duplicate removal. Python3
Output : The original list is : ['gfg, best, gfg', 'I, am, I', 'two, two, three']
The list after duplicate words removal is : [{'best', 'gfg'}, {'I', 'am'}, {'three', 'two'}]Method #2 : Using list comprehension + set() + split() This is similar method to above. The difference is that we employ list comprehension instead of loops to perform the iteration part. Python3
Output : The original list is : ['gfg, best, gfg', 'I, am, I', 'two, two, three']
The list after duplicate words removal is : [{'best', 'gfg'}, {'I', 'am'}, {'three', 'two'}]Method: Using sorted()+index()+split() Python3
Output gfg best I am two three How do I remove repeating words in Python?1) Split input sentence separated by space into words. 2) So to get all those strings together first we will join each string in given list of strings. 3) Now create a dictionary using Counter method having strings as keys and their frequencies as values. 4) Join each words are unique to form single string.
How do you remove duplicates from a DataFrame in Python?You can set 'keep=False' in the drop_duplicates() function to remove all the duplicate rows. For E.x, df. drop_duplicates(keep=False) .
How do you remove duplicates from a DataFrame in Python based on column?To drop duplicate columns from pandas DataFrame use df. T. drop_duplicates(). T , this removes all columns that have the same data regardless of column names.
How do you find duplicate words in Python?Python. string = "big black bug bit a big black dog on his big black nose";. #Converts the string into lowercase.. string = string.lower();. #Split the string into words using built-in function.. words = string.split(" ");. print("Duplicate words in a given string : ");. for i in range(0, len(words)):. count = 1;. |
