I hereby claim:
- I am nickwan on github.
- I am nickileaks (https://keybase.io/nickileaks) on keybase.
- I have a public key ASBwZD316-MGh5eQ1GmdxIQt1x7copvrzeeuvONWRPteUAo
To claim this, I am signing this object:
# data load (with lau's var names) | |
week1_df = pd.read_csv(weeks_fns[0]) | |
data_dir = '/content/drive/My Drive/nflfastR-data' | |
data_files = [f'{data_dir}/data/{x}' for x in os.listdir(f"""{data_dir}/data""") if (x.endswith('.parquet')) & ('2018' in x)] | |
fastr_18 = pd.DataFrame() | |
for fn in tqdm(reversed(data_files)): | |
_df = pd.read_parquet(fn) | |
fastr_18 = fastr_18.append(_df,ignore_index=True) | |
roster_data = pd.read_csv(f"{data_dir}/roster-data/roster.csv") |
I hereby claim:
To claim this, I am signing this object:
### Mostly taken from this blog post | |
# http://superfluoussextant.com/circlepusher.html | |
import random | |
from PIL import Image, ImageDraw | |
import math | |
class Circle: | |
def __init__(self, radius, location, color): | |
""" |
def generate_tweets(model, corpus, char_to_idx, idx_to_char, n_tweets=10): | |
# model.load_weights('weights.hdf5') | |
tweets = [] | |
spaces_in_corpus = np.array([idx for idx in range(CORPUS_LENGTH) if text[idx] == ' ']) | |
for i in range(1, n_tweets + 1): | |
begin = np.random.choice(spaces_in_corpus) | |
tweet = u'' | |
sequence = text[begin:begin + MAX_SEQ_LENGTH] | |
tweet += sequence | |
for _ in range(100): |
import os | |
import glob | |
%matplotlib inline | |
import matplotlib.pyplot as plt | |
import seaborn as sns | |
import pandas as pd | |
import numpy as np | |
def convert_date(ser): | |
return ser[:10] |