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Python text cleaner names capitilization4/30/2023 As mentioned before, not all language modeling tasks find it useful to remove stop words, such as translation or text generation. Removing these words reduces the size of our vocab and our dataset while still maintaining all of the relevant information in that document. In the context of NLP, a stop word is any word that doesn't add much meaning to a sentence, words like 'and', 'that', 'when', and so on. Remove_unwanted (sample ) # output 'Hello still want us to hit that new sushi spot LMK when youre free cuz I cant go this or next weekend since Ill be swimming' Removing stop words ❌ Sample = "Hello □□, still want us to hit that new sushi spot? LMK when you're free cuz I can't go this or next weekend since I'll be swimming!!! #sushiBros #rawFish #□" Here we will define a function that removes the following: For example, in text generation tasks it may be useful to keep the punctuation so that your model can generate text that is grammatically correct. Having said that, there are some cases when you would want to keep these characters in your data. For language models, punctuation doesn't add as much context as it does for people and in most cases just adds extra characters to our vocab that we don't need. This could be adding structure to language or indicating tone/sentiment. To us humans, punctuation can add a lot of useful information to text. This may include punctuation, numbers, emojis, dates, etc. The next step is to remove all of the characters that don't add much value or meaning to our document. Normalize (sample_text ) Removing unwanted characters □□♀️ Sample_text = "This Is some Normalized TEXT" Here we specify columns argument with “str.lower” fucntion.Normalize = lambda document : document. More compact way to change a data frame’s column names to lower case is to use Pandas rename() function. We use Pandas chaining operation to do both and re-assign the cleaned column names.Ĭonvert Pandas Column Names to lowercase with Pandas rename() # Column names: remove white spaces and convert to lower caseĭf.columns= df.().str.lower() Here we also convert the column names into lower cases using str.lower() as before. We can use str.strip() function Pandas to strip the leading and trailing white spaces. Let us create a toy dataframe with column names having trailing spaces.īy inspecting column names we can see the spaces. In addition to upper cases, sometimes column names can have both leading and trailing empty spaces. Now our dataframe’s names are all in lower case. We first take the column names and convert it to lower case.Īnd then rename the Pandas columns using the lowercase names. We can convert the names into lower case using Pandas’ str.lower() function. How To Convert Pandas Column Names to lowercase? Our data frame’s column names starts with uppercase. We will first name the dataframe’s columns with upper cases. We will create a toy dataframe with three columns. And then we will do additional clean up of columns and see how to remove empty spaces around column names. In this post, we will learn how to change column names of a Pandas dataframe to lower case. Cleaning up the column names of a dataframe often can save a lot of head aches while doing data analysis.
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