import pandas as pd
df = pd.read_csv('nba.csv')
read_csv(
FilePath： 文件路径
sep: 指定的分隔符，默认是逗号
delimiter: str | None = ...,
header: int 将第几行作为表头，前面的行，就会被消除了
names: Sequence[str] | None = ...,
index_col: int | str | Sequence | Literal[False] | None = ...,
usecols: int | str | Sequence | None = ...,
squeeze: bool = ...,
prefix: str | None = ...,
mangle_dupe_cols: bool = ...,
dtype: str | Mapping[str, Any] | None = ...,
engine: str | None = ...,
converters: Mapping[int | str, (*args, **kwargs) -> Any] | None = ...,
true_values: Sequence[Scalar] | None = ...,
false_values: Sequence[Scalar] | None = ...,
skipinitialspace: bool = ...,
skiprows: int，指跳过多少行
skipfooter: int = ..., nrows: int | None = ..., na_values=...,
keep_default_na: bool = ..., na_filter: bool = ...,
verbose: bool = ..., skip_blank_lines: bool = ...,
parse_dates: bool | List[int] | List[str] = ...,
infer_datetime_format: bool = ...,
keep_date_col: bool = ...,
date_parser: (*args, **kwargs) -> Any | None = ...,
dayfirst: bool = ..., cache_dates: bool = ...,
iterator: Literal[True],
chunksize: int | None = ...,
compression: str | None = ...,
thousands: str | None = ...,
decimal: str | None = ...,
lineterminator: str | None = ...,
quotechar: str = ...,
quoting: int = ...,
doublequote: bool = ...,
escapechar: str | None = ...,
comment: str | None = ...,
encoding: str | None = ...,
dialect: str | None = ...,
error_bad_lines: bool = ...,
warn_bad_lines: bool = ...,
delim_whitespace: bool = ...,
low_memory: bool = ...,
memory_map: bool = ...,
float_precision: str | None = ...)
