pandas之数据读取

'''
    数据的读取
'''
import pandas as pd
import warnings

warnings.filterwarnings('ignore')

# 读取文本文件
users = pd.read_table('./users.dat', header=None, names=['UserID', 'Gender', 'Age', 'Occupation', 'Zip-code'], sep='::',
                      engine='python')
print(users.head())

# 读取csv文件
csv = pd.read_csv('./iris.csv', header=None, names=['width', 'height', 'category'], sep=',', engine='python')
print(csv.head())
csv.iloc[0, 2] = 1
csv.to_csv('./iris1.csv')

# 读取excel文件
excel = pd.read_excel('./data.xlsx')
print(excel)


输出结果：

   UserID Gender  Age  Occupation Zip-code
0       1      F    1          10    48067
1       2      M   56          16    70072
2       3      M   25          15    55117
3       4      M   45           7    02460
4       5      M   25          20    55455
   width  height  category
0    1.4     0.2         0
1    1.4     0.2         0
2    1.3     0.2         0
3    1.5     0.2         0
4    1.4     0.2         0
   age  height gender
0   21     165      M
1   22     145      M
2   23     164      M
3   24     165      M
4   25     166      F
5   26     167      F