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I have a Pandas dataframe that contains backslashes. I want to strip out those backslashes, but I can't get the replace function to work. Here's what I'm doing:
df=pd.DataFrame(data={'col1':['a\\b','ab'], 'col2':['c','cd\\']})
df.replace(to_replace='\\', value='', regex=True, inplace=True)
When I run this, I get an error message that says:
error: bad escape (end of pattern) at position 0
If I remove "regex=True", I don't get the error, but nothing get's replaced.
How do I remove the backslashes?
302
We can use the replace() function to replace the backslashes in a string with another character. To replace all backslashes in a string, we can use the replace() function as shown in the following Python code.
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This method is a simple, but messy way to handle missing values since in addition to removing these values, it can potentially remove data that aren’t null. You can call dropna () on your entire dataframe or on specific columns: # Drop rows with null values df = df.dropna (axis=0) # Drop column_1 rows with null values
We will use different methods which will help us to remove all the extra space from the cell’s. Different methods are : Pandas provide predefine method “pandas.Series.str.strip ()” to remove the whitespace from the string. Using strip function we can easily remove extra whitespace from leading and trailing whitespace from staring.
You can use replace
df = df.replace(to_replace= r'\\', value= '', regex=True)
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