Python  Pandas教程之使用 pandas.read_csv() 读取 csv

import pandas as pd

pd.read_csv(filepath_or_buffer, sep=', ', delimiter=None, header='infer', names=None, index_col=None, 
             usecols=None, squeeze=False, prefix=None, mangle_dupe_cols=True, 
             dtype=None, engine=None, converters=None, true_values=None, false_values=None, 
             skipinitialspace=False, skiprows=None, nrows=None, na_values=None, keep_default_na=True, 
             na_filter=True, verbose=False, skip_blank_lines=True, parse_dates=False, infer_datetime_fORMat=False, 
             keep_date_col=False, date_parser=None, dayfirst=False, iterator=False, chunksize=None, compression='infer', 
             thousands=None, decimal=b'.', lineterminator=None, quotechar='"', quoting=0, escapechar=None, comment=None, 
             encoding=None, dialect=None, tupleize_cols=None, error_bad_lines=True, warn_bad_lines=True, skipfooter=0, 
             doublequote=True, delim_whitespace=False, low_memory=True, memory_map=False, float_precision=None) 

# Import pandas
import pandas as pd

# 读取csv文件
pd.read_csv("filename.csv")

# 导入 Pandas 库
import pandas as pd

pd.read_csv(filepath_or_buffer = "pokemon.csv")

# 使传递的行标题
pd.read_csv("pokemon.csv", header =[1, 2])

# 将传递的列作为索引而不是 0、1、2、3....
pd.read_csv("pokemon.csv", index_col ='Type')

# 仅将传递的 cols 用于数据框
pd.read_csv("pokemon.csv", usecols =["Type"])

# 如果只有一列，则返回熊猫系列
pd.read_csv("pokemon.csv", usecols =["Type"], squeeze = True)
							
# 跳过新系列中传递的行
pd.read_csv("pokemon.csv", skiprows = [1, 2, 3, 4])