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To split a string column into multiple columns in a Pandas DataFrame, you can use the `str.split()` method to split the column into separate strings, and then the `DataFrame()` co…
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To split a string column into multiple columns in a Pandas DataFrame, you can use the `str.split()` method to split the column into separate strings, and then the `DataFrame()` co…
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To convert a column of strings to datetime in a Pandas DataFrame, you can use the `pandas.to_datetime()` method. Here is an example: ``` import pandas as pd # Create a sample …
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To extract a numeric value from a string column in a Pandas DataFrame, you can use regular expressions with the `str.extract()` method. Here is an example: ``` import pandas as…
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To extract the day of the week from a date column in a Pandas DataFrame, you can use the `dt.dayofweek` method. Here is an example: ``` import pandas as pd # Create a sample D…
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To concatenate two columns in a Pandas DataFrame, you can use the `+` operator or the `pd.concat()` method. Here is an example using the `+` operator: ``` import pandas as pd …
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To merge two Pandas DataFrames by column, you can use the `pd.concat()` method with the `axis=1` argument. Here is an example: ``` import pandas as pd # Create two sample Data…
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To replace values in a column of a Pandas DataFrame, you can use the `replace()` method. Here is an example: ``` import pandas as pd # Create a sample DataFrame with a column …
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To fill null (or missing) values in a column of a Pandas DataFrame, you can use the `fillna()` method. Here is an example: ``` import pandas as pd # Create a sample DataFrame …
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To calculate the minimum and maximum value of a column in a Pandas DataFrame, you can use the `min()` and `max()` methods respectively on the column. Here is an example: ``` im…
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To calculate the mean, median, mode, and sum of a column in a Pandas DataFrame, you can use built-in pandas methods. Here is an example: ``` import pandas as pd # Create a sam…