def main():
args = parse_args()
loader_kwargs = dict()
if args.sep is not None:
loader_kwargs["sep"] = args.sep
df = pd.read_csv(args.file, **loader_kwargs)
tabloo.show(
df,
server_logging=True,
)
#!/usr/bin/env python
import pandas as pd
import numpy as np
import tabloo
N = 1000
df = pd.DataFrame({
"id": np.arange(N),
"xs": np.random.uniform(-1, +1, N),
"ys": np.random.uniform(-1, +1, N),
})
df.loc[::10, "xs"] = np.nan
df.loc[::20, "ys"] = np.nan
df.loc[::47, "xs"] = +np.inf
df.loc[::83, "xs"] = -np.inf
#df["Column with much too long name"] = 0
tabloo.show(df, open_browser=False, debug=True, server_logging=True)
# ### ┌─────────────────────────────────────────────────┐
# ### │ Dataframe │
# ### └─────────────────────────────────────────────────┘
# +
df = pd.DataFrame({
"title": title,
"date": dt,
"exlink": elink,
"comments": comments,
"category": category,
"user": user,
"popular": pop,
})
tabloo.show(df)
# from operator import itemgetter
# df['user'] = df['user'] | p(map, p(itemgetter(0)), px) | p(list)
df["user"] = df["user"] | p(chain.from_iterable) | p(list)
df["exlink"] = df["exlink"] | px.str.replace(r"\(|\)", "", regex=True)
# -
# ### ┌─────────────────────────────────────────────────┐
# ### │ Functions for scraping more than one page │
# ### └─────────────────────────────────────────────────┘
# +
import time