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Python Tutorial: Learn Descriptive Statistics in Pandas in 6 Minutes
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Pandas is mainly used for machine learning in the form of dataframes. Once we use panda functions to extract data from our text file or binary file, the data will be formed as a dataframe. And Pandas further allows us to perform various data manipulation operations.
A large number of methods in Pandas can help us compute descriptive statistics, and other related operations in dataframes, which include:
.count()
.sum()
.mean()
.median()
.mode()
.std()
.min()
.max()
.abs()
.prod()
.cumsum()
.cumprod()
A large number of methods in Pandas can help us compute descriptive statistics, and other related operations in dataframes, which include:
.count()
.sum()
.mean()
.median()
.mode()
.std()
.min()
.max()
.abs()
.prod()
.cumsum()
.cumprod()
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