style fixes

This commit is contained in:
Ben Letham 2017-04-06 11:47:03 -07:00
parent 34c0f80684
commit 1a7112268e
2 changed files with 7 additions and 7 deletions

View file

@ -15,7 +15,7 @@ from datetime import timedelta
import pickle
from matplotlib import pyplot as plt
from matplotlib.dates import DateFormatter, MonthLocator, num2date
from matplotlib.dates import MonthLocator, num2date
from matplotlib.ticker import FuncFormatter
import numpy as np
@ -326,7 +326,7 @@ class Prophet(object):
# Makes an index so we can perform `get_loc` below.
row_index = pd.DatetimeIndex(dates)
for ix, row in self.holidays.iterrows():
for _ix, row in self.holidays.iterrows():
dt = row.ds.date()
try:
lw = int(row.get('lower_window', 0))
@ -726,7 +726,7 @@ class Prophet(object):
sim_values = {'yhat': [], 'trend': [], 'seasonal': []}
for i in range(n_iterations):
for j in range(samp_per_iter):
for _j in range(samp_per_iter):
sim = self.sample_model(df, seasonal_features, i)
for key in sim_values:
sim_values[key].append(sim[key])
@ -958,7 +958,7 @@ class Prophet(object):
Parameters
----------
fcst: pd.DataFrame output of self.predict.
ax: Optional matplotlib Axes to plot on. One will be created if this
ax: Optional matplotlib Axes to plot on. One will be created if this
is not provided.
uncertainty: Optional boolean to plot uncertainty intervals.
@ -994,7 +994,7 @@ class Prophet(object):
Parameters
----------
fcst: pd.DataFrame output of self.predict.
ax: Optional matplotlib Axes to plot on. One will be created if this
ax: Optional matplotlib Axes to plot on. One will be created if this
is not provided.
uncertainty: Optional boolean to plot uncertainty intervals.
@ -1032,7 +1032,7 @@ class Prophet(object):
Parameters
----------
fcst: pd.DataFrame output of self.predict.
ax: Optional matplotlib Axes to plot on. One will be created if
ax: Optional matplotlib Axes to plot on. One will be created if
this is not provided.
uncertainty: Optional boolean to plot uncertainty intervals.

View file

@ -2,7 +2,7 @@
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
from __future__ import absolute_import