I want to preview a Pandas dataframe. I would use head(mymatrix) in R, but I do not know how to do this in Pandas Python.
When I type
df.head(10) I get...
<class 'pandas.core.frame.DataFrame'>
Int64Index: 10 entries, 0 to 9
Data columns (total 14 columns):
#Book_Date 10 non-null values
Item_Qty 10 non-null values
Item_id 10 non-null values
Location_id 10 non-null values
MFG_Discount 10 non-null values
Sale_Revenue 10 non-null values
Sales_Flg 10 non-null values
Sell_Unit_Cost 5 non-null values
Store_Discount 10 non-null values
Transaction_Id 10 non-null values
Unit_Cost_Amt 10 non-null values
Unit_Received_Cost 5 non-null values
Unnamed: 0 10 non-null values
Weight 10 non-null values
Suppose you want to output the first and last 10 rows of the iris data set.
In R:
data(iris)
head(iris, 10)
tail(iris, 10)
In Python (scikit-learn required to load the iris data set):
import pandas as pd
from sklearn import datasets
iris = pd.DataFrame(datasets.load_iris().data)
iris.head(10)
iris.tail(10)
Now, as previously answered, if your data frame is too large for the display you use in the terminal, a summary is output. To visualize your data in a terminal, you could either expend the terminal or reduce the number of columns to display, as follows.
iris.ix[:,1:2].head(10)
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