Dataframe python上的for循环
代码示例
pandas循环遍历行
for index, row in df.iterrows():
print(row['c1'], row['c2'])
Output:
10 100
11 110
12 120使用for循环在python中创建数据框
df = pd.DataFrame(columns=["A", "B"])
for i in range(2):
this_column = df.columns[i]
df[this_column] = [i, i+1]
print(df)
#OUTPUT
# A B
#0 0 1
#1 1 2dataframe for循环
import pandas as pd
# Define a dictionary containing students data
data = {'Name': ['Ankit', 'Amit', 'Aishwarya', 'Priyanka'],
'Age': [21, 19, 20, 18],
'Stream': ['Math', 'Commerce', 'Arts', 'Biology'],
'Percentage': [88, 92, 95, 70]}
# Convert the dictionary into DataFrame
df = pd.DataFrame(data, columns = ['Name', 'Age', 'Stream', 'Percentage'])
print("Given Dataframe :\n", df)
print("\nIterating over rows using iterrows() method :\n")
# iterate through each row and select
# 'Name' and 'Age' column respectively.
for index, row in df.iterrows():
print (row["Name"], row["Age"]) 类似页面
带有示例的类似页面
其他语言
此页面有其他语言版本
empty row
Русский
..................................................................................................................
English
..................................................................................................................
Italiano
..................................................................................................................
Polski
..................................................................................................................
Română
..................................................................................................................
한국어
..................................................................................................................
हिन्दी
..................................................................................................................
Français
..................................................................................................................
Türk
..................................................................................................................
Česk
..................................................................................................................
Português
..................................................................................................................
ไทย
..................................................................................................................
Español
..................................................................................................................
Slovenský
..................................................................................................................
Балгарскі
..................................................................................................................
Íslensk
..................................................................................................................