AI spring 1401-1402 Project #0
pip install pandaspip install -U matplotlib- info() method
The info() method shows some genral information about the dataframe. information contains total number of columns, labels of column, data types of column, range index, number of non-null values in each column and total memory usage.
- head() method
The head() method Shows first 5 rows of the dataframe. Passing value (N) as argument to head() method will show the first N rows of dataframe, default value is set to 5.
- tail() method
The head() method Shows last 5 rows of the dataframe. Passing value (N) as argument to head() method will show the last N rows of dataframe, default value is set to 5.
- describe() method
The describe() method Shows a general description of the train dataframe. The describe() function computes and shows some data from dataframe as the following labels : Count : Total number of non-null values of each column Mean : Average/Mean value of each column') Std : The standard deviation for each column') Min : Minimum value in each column') 25% : 25% - The 25% percentile') 50% : The 50% percentile') 75% : The 75% percentile') Max : Maximum value in each column')
The describe() method can also get some arguements as follows :
dataframe.describe(percentiles, include, exclude, datetime_is_numeric)| Parameter | value | Description |
|---|---|---|
| percentile | numbers between 0 and 1 | Optional, a list of percentiles to include in the result, default is [.25, .50, .75] |
| include | None, 'all', datatypes | Optional, a list of the data types to allow in the result |
| exclude | None, 'all', datatypes | Optional, a list of the data types to disallow in the result |
| datetime_is_numeric | True, False | Optional, default False. Set to True to treat datetime data as numeric |