ryansmccoy

#Persistent
#SingleInstance, Force
#NoEnv
SetBatchLines, 1
SetBatchLines 15ms
Thread, NoTimers, true
;Menu, Tray, Icon, , , 1
Pause
 

ryansmccoy

#SingleInstance force


$RButton::
	Send {RButton}
Return

ryansmccoy

<scheme name="ryan_syntax2017-02-22T21-29-13 copy" version="142" parent_scheme="Darcula">
  <option name="FONT_SCALE" value="1.0" />
  <metaInfo>
    <property name="created">2020-11-03T17:39:20</property>
    <property name="ide">Python</property>
    <property name="ideVersion">2020.2.3.0.0</property>
    <property name="modified">2020-11-03T17:39:23</property>
    <property name="originalScheme">ryan_syntax2017-02-22T21-29-13 copy</property>
  </metaInfo>
  <option name="LINE_SPACING" value="1.2" />

ryansmccoy

import pandas as pd

pd.set_option('display.float_format', lambda x: f'{x:.5f}')
pd.set_option('display.max_columns', 100)
pd.set_option('display.max_rows', 100)
pd.set_option('display.width', 600)

filename = r'data\WMT_US.csv'

ryansmccoy

import csv
from datetime import datetime

filename = r'data\WMT_US.csv'

records = []

with open(filename, 'r') as f:
    rows = csv.reader(f)

ryansmccoy

#!/usr/bin/env python


"""Converts CSV file to Parquet

This module converts a CSV file to a Parquet file

Example:

        $ python csv2parquet.py --input-filepath example.csv --output-filepath example.parquet

ryansmccoy

from bs4 import BeautifulSoup

def read_excel_xml(filepath):
    """
    Read in XLS file formatted as XML

    :param filepath:
    :return:
    """

ryansmccoy

import sys
import time, datetime
import numpy as np
import pandas as pd

pd.set_option("display.float_format", lambda x: f"{x:.5f}")
pd.set_option("display.max_columns", 100)
pd.set_option("display.max_rows", 100)
pd.set_option("display.width", 600)

ryansmccoy

import pandas as pd
from datetime import datetime

df_calendar = pd.read_html(r'https://finance.yahoo.com/calendar/earnings/')

df_all_est = []

for ticker in df_calendar[0]['Symbol'].tolist():
    try:

ryansmccoy

Keybase proof

I hereby claim:

• I am ryansmccoy on github.
• I am ryansmccoy (https://keybase.io/ryansmccoy) on keybase.
• I have a public key ASCKJFvXQYTHZlTGI1es5Sr_DcESGx555Kbi_nTZmR7HSAo

To claim this, I am signing this object: