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I'm viewing a Pandas DataFrame in a Jupyter Notebook, and my DataFrame contains URL request strings that can be hundreds of characters long without any whitespace separating characters.
Pandas seems to only wrap text in a cell when there's whitespace, as shown on the attached picture:
If there isn't whitespace, the string is displayed in a single line, and if there isn't enough space my options are either to see a '...' or I have to set display.max_colwidth to a huge number and now I have a hard-to-read table with a lot of scrolling.
Is there a way to force Pandas to wrap text, say, every 100 characters, regardless of whether there is whitespace?
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lstrip() is used to remove spaces from the left side of string, str. rstrip() to remove spaces from right side of the string and str. strip() removes spaces from both sides. Since these are pandas function with same name as Python's default functions, .
Pandas str. wrap() is an important method when dealing with long text data (Paragraphs or messages). This is used to distribute long text data into new lines or handle tab spaces when it exceeds the passed width. Since this is a string method, .
In this article, we are going to see how to flatten a list of DataFrames. Flattening is defined as Converting or Changing data format to a narrow format. The advantage of the flattened list is Increases the computing speed and Good understanding of data.
You can set
import pandas as pd pd.set_option('display.max_colwidth', 0) and then each column will be just as big as it needs to be in order to fully display it's content. It will not wrap the text content of the cells though (unless they contain spaces).
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You can use str.wrap method:
df['user_agent'] = df['user_agent'].str.wrap(100) #to set max line width of 100 If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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