"Plot the histogram of countries showing for each the gpd, using different colors for each bar",
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The machine will output the result in their language - machine-interpretable code (DataFrame). With the help of OpenAI API, Pandas AI aims to achieve the goal of virtually talking with a machine to output the results you want rather than having to program the task yourself. With that being said, does this mean that people no longer need to be proficient in Python to achieve data analysis using tools such as the Pandas library? Rather than having to skim through and answer questions about the dataset yourself, you can ask PandasAI these questions and it will return answers in the form of Pandas DataFrames. PandasAI is to be used hand-in-hand with Pandas, it is not a replacement for Pandas. Data professionals look into different methods and processes that they can use to minimize the time spent on data preparation, and now they can with Pandas AI. They will now be able to take their data analysis to the next level. Pandas AI does not replace Pandas, it just gives it a big push!ĭata scientists and analysts spend a lot of time cleaning data for the analysis phase. As a data scientist or analyst, you won't need to be staring at your dataset, skimming through rows and columns for endless hours anymore. Yes, you heard it, you can talk to your data and get fast responses.
This means exactly what it says - you can speak with your dataset.
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