R summary() equivalent in numpy
1. Load Pandas in console and load csv data file
import pandas as pddata = pd.read_csv("data.csv", sep = ",")2. Examine first few rows of data
data.head() 3. Calculate summary statistics
summary = data.describe()4. Transpose statistics to get similar format as R summary() function
summary = summary.transpose()5. Visualize summary statistics in console
summary.head()
No. You'll need to use pandas.
R is for language for statistics, so many of the basic functionality you need, like summary() and lm(), are loaded when you boot it up. Python has many uses, so you need to install and import the appropriate statistical packages. numpy isn't a statistics package - it's for numerical computation more generally, so you need to use packages like pandas, scipy and statsmodels to allow Python to do what R can do out of the box.