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:
#Persistent | |
#SingleInstance, Force | |
#NoEnv | |
SetBatchLines, 1 | |
SetBatchLines 15ms | |
Thread, NoTimers, true | |
;Menu, Tray, Icon, , , 1 | |
Pause | |
#SingleInstance force | |
$RButton:: | |
Send {RButton} | |
Return | |
<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" /> |
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' |
import csv | |
from datetime import datetime | |
filename = r'data\WMT_US.csv' | |
records = [] | |
with open(filename, 'r') as f: | |
rows = csv.reader(f) |
#!/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 |
from bs4 import BeautifulSoup | |
def read_excel_xml(filepath): | |
""" | |
Read in XLS file formatted as XML | |
:param filepath: | |
:return: | |
""" |
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) |
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: |
I hereby claim:
To claim this, I am signing this object: