import tushare as ts
ts.set_token('08733ac4361bb1a5137c02cb24a857b289e319432c3ec85726ce7987')
pro=ts.pro_api()
ts_code='601318.SH'
start_date='20190701'
end_date='20200810'
以上方法只需要在第一次或者token失效后调用，完成调取tushare数据凭证的设置，
正常情况下不需要重复设置。也可以忽略此步骤，直接用pro_api('your token')完成初始化
import os
current_path=os.getcwd()#current work dir
csv_path_name=os.path.join(current_path,ts_code+".csv")
daily = pro.daily(ts_code=ts_code, start_date=start_date, end_date=end_date)
daily['open'][:5]#访问daily的方式，字典键值‘open’下的值是一个list
0 76.02
1 76.96
2 77.00
3 77.94
4 76.81
Name: open, dtype: float64
type(daily)#返回的daily是pandas的dataframe类型
pandas.core.frame.DataFrame
daily[0:0]#显示daily的coloum name，pct_chg是股价涨跌百分数，vol：成交手数，amount：成交额
ts_code trade_date open high low close pre_close change pct_chg vol amount
daily#shift+tab 显示daily详细信息
Type: DataFrame
String form:
ts_code trade_date open high low close pre_close change \
0 601318.SH 2020 <...> 493 606496.56 5.535116e+06
271 3.6452 926097.53 8.488850e+06
[272 rows x 11 columns]
Length: 272
File: ~/.local/lib/python3.7/site-packages/pandas/core/frame.py
Docstring:
Two-dimensional, size-mutable, potentially heterogeneous tabular data.
Data structure also contains labeled axes (rows and columns).
Arithmetic operations align on both row and column labels. Can be
thought of as a dict-like container for Series objects. The primary
pandas data structure.
Parameters
----------
data : ndarray (structured or homogeneous), Iterable, dict, or DataFrame
Dict can contain Series, arrays, constants, or list-like objects.
.. versionchanged:: 0.23.0
If data is a dict, column order follows insertion-order for
Python 3.6 and later.
.. versionchanged:: 0.25.0
If data is a list of dicts, column order follows insertion-order
for Python 3.6 and later.
index : Index or array-like
Index to use for resulting frame. Will default to RangeIndex if
no indexing information part of input data and no index provided.
columns : Index or array-like
Column labels to use for resulting frame. Will default to
RangeIndex (0, 1, 2, ..., n) if no column labels are provided.
dtype : dtype, default None
Data type to force. Only a single dtype is allowed. If None, infer.
copy : bool, default False
Copy data from inputs. Only affects DataFrame / 2d ndarray input.
See Also
--------
DataFrame.from_records : Constructor from tuples, also record arrays.
DataFrame.from_dict : From dicts of Series, arrays, or dicts.
read_csv
read_table
read_clipboard
Examples
--------
Constructing DataFrame from a dictionary.
>>> d = {'col1': [1, 2], 'col2': [3, 4]}
>>> df = pd.DataFrame(data=d)
>>> df
col1 col2
0 1 3
1 2 4
Notice that the inferred dtype is int64.
>>> df.dtypes
col1 int64
col2 int64
dtype: object
To enforce a single dtype:
>>> df = pd.DataFrame(data=d, dtype=np.int8)
>>> df.dtypes
col1 int8
col2 int8
dtype: object
Constructing DataFrame from numpy ndarray:
>>> df2 = pd.DataFrame(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]),
... columns=['a', 'b', 'c'])
>>> df2
a b c
0 1 2 3
1 4 5 6
2 7 8 9
moneyflow = pro.moneyflow(ts_code, start_date=start_date, end_date=end_date)
moneyflow[0:0]#show coloum name
---------------------------------------------------------------------------
Exception Traceback (most recent call last)
<ipython-input-25-5401f4deff29> in <module>
----> 1 moneyflow = pro.moneyflow(ts_code, start_date=start_date, end_date=end_date)
2 moneyflow[0:0]#show coloum name
~/.conda/envs/py3/lib/python3.7/site-packages/tushare/pro/client.py in query(self, api_name, fields, **kwargs)
42 result = json.loads(res.text)
43 if result['code'] != 0:
---> 44 raise Exception(result['msg'])
45 data = result['data']
46 columns = data['fields']
Exception: 抱歉，您没有访问该接口的权限，权限的具体详情访问：https://tushare.pro/document/1?doc_id=108。
积分不够没法访问........,本来想把开盘、收盘、资金流入、沪深港通资金等等的数据拿来描述股票每天的特征，但是看来用tushare行不通了。
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