Pandas

If you are working with Python and trying to use the pandas library, you may encounter the “NameError: name ‘pandas’ is not defined” error. In this tutorial, we will explore why this error occurs and the steps required to fix it such that your Python code can successfully run without errors. We will cover common …

In this tutorial, we will explore different methods to convert a dataframe to a list in Python. Depending upon how you want the data in the resulting list, there can be different methods. We’ll look at these methods in detail. By the end of this tutorial, you will have a clear understanding of how to …

In this tutorial, we will look at how to fix the ParseError: year 0 is out of range 0000-00-00 error when using the pandas.to_datetime() function with the help of an example. Why does this occur when using pandas.to_datetime()? We use the pandas.to_datetime() function to convert a value or column to datetime type. The “pandas ParserError: …

In this tutorial, we will look at how to fix the OutOfBoundsDatetime: Out of bounds nanosecond timestamp error when using the pandas.to_datetime() function with the help of an example. Why does the OutOfBoundsDatetime error occur when using pandas.to_datetime()? We use the pandas.to_datetime() function to convert a value or column to the pandas datetime type. The …

In this tutorial, we will look at how to rename the column resulting from the reset_index() function in pandas with the help of some examples. The pandas dataframe reset_index() function is used to reset the index of a dataframe and by default, it adds the previous index as a separate column in the dataframe (pass …

In this tutorial, we will look at how to rename the columns of a dataframe resulting from the merge of two dataframes. When you’re merging two dataframes that have columns with the same names, pandas gives them default suffixes like _x, or _y to keep the names of the columns different in the resulting dataframe …

You can use the following steps to rename columns after the groupby operation on a pandas dataframe. Note that if you try to change the name of the grouping column (“col1”), you’ll get an error. This is because the resulting dataframe after groupby doesn’t have the grouping column (“col1”), its unique values are used as …

In this tutorial, we’ll try to understand how to add a header in a csv file using Python with the help of some examples. In simple terms, a csv file contains tabular data with comma-separated values in each row. A row header, here, represents an additional row at the top indicating the column names. You …

In this tutorial, we’ll try to understand how to plot histograms by group in pandas with the help of some examples. Plotting histograms using grouped data from a pandas DataFrame creates one histogram for each group in the DataFrame. For example, you group the data by values of column 1 and then show the distribution …

The datetime type in pandas comes with a number of useful built-in functions to get additional information about the given date. In this tutorial, we will look at how to check if a date in a pandas dataframe is the last day of a year or not with the help of some examples. Using the …