import matplotlib.pyplot as plt
from w_helpers import load_data, aggregate_by_month
plt.ion()
temperature = load_data('central_park')
temperature_monthly = aggregate_by_month(temperature)
fig, ax = plt.subplots()
def plot_aggregated_errorbar(ax, gb, label, picker=None, **kwargs):
kwargs.setdefault('capsize', 3)
kwargs.setdefault('markersize', 5)
kwargs.setdefault('marker', 'o')
eb = ax.errorbar(gb.index,
'mean',
yerr='std',
data=gb,
label=label,
picker=picker,
**kwargs)
fill = ax.fill_between(gb.index,
'min',
'max',
alpha=.5,
data=gb,
color=eb[0].get_color())
ax.legend()
ax.figure.canvas.draw_idle()
return eb, fill
import matplotlib.pyplot as plt
from w_helpers import load_data, aggregate_by_month
plt.ion()
temperature = load_data('mdw')
temperature_monthly = aggregate_by_month(temperature)
fig, ax = plt.subplots()
def plot_aggregated_errorbar(ax, gb, label, picker=None, **kwargs):
kwargs.setdefault('capsize', 3)
kwargs.setdefault('markersize', 5)
kwargs.setdefault('marker', 'o')
eb = ax.errorbar(gb.index,
'mean',
yerr='std',
data=gb,
label=label,
picker=picker,
**kwargs)
fill = ax.fill_between(gb.index,
'min',
'max',
alpha=.5,
data=gb,
color=eb[0].get_color())
ax.legend()
ax.figure.canvas.draw_idle()
return eb, fill
import matplotlib.pyplot as plt
from w_helpers import load_data, aggregate_by_day, extract_day_of_hourly, label_date
import uuid
datasource = 'central_park'
temperature = load_data(datasource)
temperature = temperature[temperature['year'] >= 2017]
temperature_daily = aggregate_by_day(temperature)
class RowPrinter:
def __init__(self, ln, df, picker=10):
ln.set_picker(picker)
# we can use this to ID our line!
self.uid = str(uuid.uuid4())
ln.set_gid(self.uid)
self.ln = ln
self.df = df
self.cid = None
self.connect()
def connect(self):
self.remove()
self.cid = ln.figure.canvas.mpl_connect('pick_event', self)
def __call__(self, event):
# ignore picks on not-our-artist
if event.artist is not self.ln:
return