how to get a row from a dataframe in python
df.iloc[[index]]how to get a row from a dataframe in python
df.iloc[[index]]pandas loc iloc
# Selecting Datafrmae Information:
# iloc
# selecting a single row:
df.iloc[3]
# selecting a range of rows:
df.iloc[0:3]
# selecting all rows, with columns within an index range:
# all rows, 1st- 3rd columns, sliced at second index:
df.iloc[:, 0:3]
# selecting a range of rows and a range of columns:
# 1st to 3rd rows, 5th & 6th columns:
df.iloc[0:3, 4:6]
# by multiple noconsecutive rows and columns:
# selecting rows 1, 4, 6 with columns 2, 3, 5:
df.iloc[[0, 3, 5], [1, 2, 4]]
# a) .loc label-based indexing- selecting columns based on index:
# all rows:
df.loc[:, 'column_name']
# or:
df['column_name']
# selected rows:
df.loc[0:5, 'column_name']
# b) boolean indexing using .loc:
df.loc[df['column_name'] < 5]
#boolean indexing fro one column:
df.loc[df['column_condition'] < 12, ['column_desired']]loc vs iloc pandas
>>> s = pd.Series(list("abcdef"), index=[49, 48, 47, 0, 1, 2])
49 a
48 b
47 c
0 d
1 e
2 f
>>> s.loc[0] # value at index label 0
'd'
>>> s.iloc[0] # value at index location 0
'a'
>>> s.loc[0:1] # rows at index labels between 0 and 1 (inclusive)
0 d
1 e
>>> s.iloc[0:1] # rows at index location between 0 and 1 (exclusive)
49 ailoc in dataframe
df=pd.read_csv('yourcsv.csv')
X=df.iloc[:,:-1].values
y=df.iloc[:,1].valueshow to use loc and iloc in pandas
>>> df.iloc[0, 1]
2Copyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
