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# Download File Common Function
def download_file(url, path):
    local_filename = url.split('/')[-1]
    # NOTE the stream=True parameter
    r = requests.get(url, stream=True)
    with open(local_filename, 'wb') as f:
        for chunk in r.iter_content(chunk_size=1024): 
            if chunk: # filter out keep-alive new chunks
                f.write(chunk)
                #f.flush() commented by recommendation from J.F.Sebastian

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# Usage: currency value subtraction

def find_number(text):
    if len(re.findall(r'\.',text)) == 0:
        return float(re.findall(r'\d+',text.replace(",", ""))[0])
    else:
        return float(re.findall(r'\d+\.\d+',text.replace(",", ""))[0])

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# Def Check Nan Function
# https://stackoverflow.com/questions/944700/how-can-i-check-for-nan-in-python

def is_nan(x):
    return isinstance(x, float) and math.isnan(x)

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# Def get position function: 增加程序对数据源结构变化的稳定性
def f_p(df, feature):
    feature_list = df.iloc[:,0].get_values().tolist() # 第一列为特征名称，Index为连续自然数
    return [i for i,x in enumerate(feature_list) if x == feature][0]

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from bs4 import BeautifulSoup
import requests, datetime
from tqdm import *
import pandas as pd

engine_bing = 'https://cn.bing.com/search?q=site%3Atianyancha.com+'
engine_baidu = 'https://www.baidu.com/s?wd=site%3A%20tianyancha.com%20'

def get_exact_name(name_list, name_column):
    df = pd.read_excel(name_list,encoding='gb18030')

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df_cf["tradeDate"] = df_cf["tradeDate"].astype("datetime64[ns]")

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# Get current file path for migration consistency
path = os.getcwd().replace('\\','/') #r'%s' % os.getcwd().replace('\\','/')

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import psutil

# Chrome App Kill
def kill_chrome():
    for proc in psutil.process_iter():
        if 'chrome.exe' in proc.name():
            proc.kill()

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import dash
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objs as go
import pandas as pd

app = dash.Dash()

df = pd.read_csv(
    'https://gist.githubusercontent.com/chriddyp/'

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import datetime
date_start = datetime.datetime.strptime('2019-09-26', '%Y-%m-%d').date()
date_end = date_start + datetime.timedelta(days=1)

# 每月第一天的星期日名称，并推算date_start日和T+1日的表格位置
def get_calender_position_x(date):
    position_x = date.weekday() + 1
    if position_x == 7:
        position_x = 0
    position_x += 1