def deceased_output(totalcases):
date = Cumulative_graph[Cumulative_graph['State'] == totalcases]['Date']
deceased = Cumulative_graph[Cumulative_graph['State'] ==
totalcases]['Deceased']
fig = go.Figure(
go.Line(x=date,
y=deceased,
marker=dict(color='#798189'),
line=dict(width=3),
mode='lines+markers',
text='<b>Date</b>: ' + date.astype(str) + '<br>' +
'<b>Deceased</b>: ' + [f'{x:,.0f}' for x in deceased] + '<br>',
hoverinfo='text'))
fig.update_xaxes(title=None,
showgrid=False,
fixedrange=True,
linecolor='#798189',
title_font_color='#798189',
linewidth=2,
ticks='outside',
tickfont=dict(family='Arial', size=12, color='#798189'))
fig.update_yaxes(side="right",
showgrid=False,
fixedrange=True,
linecolor='#798189',
linewidth=2,
ticks='outside',
tickfont=dict(family='Arial', size=12, color='#798189'))
fig.update_layout(
hoverlabel_font_color='#ffffff',
plot_bgcolor='#f6f6f7',
hovermode='x',
margin=dict(t=15, b=15, r=15, l=15),
paper_bgcolor='#f6f6f7',
)
fig.update_traces(fill="tonexty", selector=dict(type='scatter'))
fig.add_annotation(text="Death",
xref="paper",
yref="paper",
x=0.01,
y=0.99,
showarrow=False,
font=dict(size=13, ))
return fig
def add_datetime_column(df):
"""Add full datetime column to MCS L2 dataframe.
Using get_time and get_date helpers, combine them into a full datetime
column and add it to the incoming dataframe.
Set index to the new datetime column.
Parameters
----------
df : pd.DataFrame
A MCS dataframe that has a `Date` and a `Time` column in the formats
yyyymmdd (int) for the date and seconds of the day for time, respectively.
Returns
-------
Nothing, new column is added to the incoming dataframe and then made into
the index.
"""
time = df.Time.map(get_time)
date = df.Date.map(get_date)
df["datetime"] = pd.to_datetime(date.astype(str) + " " + time)
df.set_index("datetime", inplace=True)
def cleanCreationDate(date):
return (date.astype('datetime64[D]').view('int64') - 4) % 7
temp = datetime.strptime(aRow, '%Y-%m')
x1.append(temp)
temp = []
y = np.array(y, dtype=float)
years = mdates.YearLocator() # every year
months = mdates.MonthLocator() # every month
yearsFmt = mdates.DateFormatter('%Y')
date = []
for aItem in x1:
# print aItem
np.datetime64(aItem)
date.append(aItem)
date = np.array(date, dtype='datetime64[D]')
date = date.astype('O')
N3p4Dates = copy.deepcopy(date)
y = np.array(y, dtype='float')
# print date
fig, ax = plt.subplots(figsize=(12, 6))
ax.plot(date, y, label='ONI')
# format the ticks
ax.xaxis.set_major_locator(years)
ax.xaxis.set_major_formatter(yearsFmt)
# ax.xaxis.set_minor_locator(months)
# myFmt = mdates.DateFormatter('%m')
# ax.xaxis.set_minor_formatter(myFmt)
import datetime