import pandas as pd
df = pd.read_csv ( 'woman.csv') is read out of the format DataFrame
pd.shape return value is the number of rows and columns (rows, columns), pd.shape [0] returns rows, pd.shape [1] is returned to the column
"height","weight"
1,2
155,232
The number of rows is not the name of the header
Number is starting from 0
Direct print (df [ 'weight']) are single quotes double quotes
df.head () before directly output five elements (0-4), if the need to specify particular the first few lines, which can be added in the head num
df.describle () will output the number count, the average mean, standard deviation std, the minimum value min, represent a few percent in the overall ranking numbers are the percentage of how much of what value max
df.isnull () will come out a bool matrix to see each one is not empty, not empty is False, True is empty
The number of null values of the respective columns df.isnull (). Sum () Statistics
df.isnull (). any () determines whether each column nulls