How to generate BAR plot using Pandas DataFrame in Python
Next, you’ll need to import the Pandas library and load your data into a DataFrame. A DataFrame is a two-dimensional table that can hold data in a tabular format. You can load data from a CSV file, for example, by using the
Once you have your data in a DataFrame, you can use the
plot() function to create a bar plot. The
plot() function takes several parameters, but the most important one is
kind, which tells it what kind of plot to create. To create a bar plot, you’ll set
kind to “bar”.
The above code will create a bar plot using the data in the “data.csv” file and display it on the screen. By default, the plot function will use the DataFrame’s index for the x-axis and the columns as individual bars, however you can modify the X, Y and legend labels as per your data.
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