Math Transform Functions mathematical conversion function

　　Providing the TA-Lib trigonometric function (sin-cos, n cotangent, hyperbolic), rounded, logarithmic, square root mathematical transformation functions, it is based on time series vector transform.

SIN: Vector Trigonometric Sin sine function: ta.SIN (close)

COS: Vector Trigonometric Cos cosine function: ta.COS (close)

TAN: Vector Trigonometric Tan tangent function: ta.TAN (close)

ASIN: Vector Trigonometric ASIN arc sine function: ta.ASIN (close)

ACOS: Vector Trigonometric ACOS arc cosine function: ta.ACOS (close)

ATAN: Vector Trigonometric ATAN arc tangent function: ta.ATAN (close)

SINH: Vector Trigonometric Sinh hyperbolic sine function: ta.SINH (close)

COSH: Vector Trigonometric Cosh sigmoidal cosine function: ta.COSH (close)

TANH: Vector Trigonometric Tanh sigmoidal tangent function: ta.TANH (close)

CEIL: vector Ceil rounded up to an integer: ta.CEIL (close)

FLOOR: Vector Floor rounded down: ta.FLOOR (close)

EXP: Vector Arithmetic Ecp exponential curve: ta.EXP (close)

LN: Vector Log Natural natural logarithm: ta.LN (close)

LOG10: Vector log 10 of the base 10 number: ta.LOG10 (close)

SQRT: Vector Square Root Square Root: ta.SQRT (close)

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import talib as ta
import tushare as ts

plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False

def get_data(code, start='2015-01-01'):
    df = ts.get_k_data(code, start)
    df.index = pd.to_datetime(df.date)
    df = df.sort_index()
    return df

df = get_data('sh')[['open', 'close', 'high', 'low']]
df['sin'] = ta.SIN(df.close)
df['cos'] = ta.COS(df.close)
df['ln'] = ta.LN(df.close)

df[['close', ''without, 'cos', 'ln']
].plot(figsize=(18,8), subplots=True, layout=(2,2))
plt.subplots_adjust(wspace=0, hspace=0.2)