Exemplos de plot_monthly em Python

Exemplo n.º 1

Arquivo: report_multiples.py Projeto: jin-park-dev/SelfData

def graph_report(start_date, end_date):
    for tbl_name, tbl_info in daily_config.items():
        date_name = 'Date'
        df = util.df_with_query(tbl_name, date_name, start_date, end_date)
        # print(df)

        if df.empty:
            error = "Table: {}, No record for {} - {}".format(tbl_name, start_date, end_date)
            print(error)
            continue
            return error

        y_axis = tbl_info['y_axis']
        util.plot_monthly(df[date_name], df[y_axis], tbl_name, start_date, end_date)

Exemplo n.º 2

Arquivo: google_fit.py Projeto: jin-park-dev/SelfData

import Report.util_daily_report as util

tbl_name = 'google_fit'
date_name = 'Date'
start_date = '2017-01-01'
end_date = '2017-05-01'  #23/07/2017
y_axis = 'Step count'

df = util.df_with_query(tbl_name, date_name, start_date, end_date)
util.plot_monthly(df[date_name], df[y_axis], tbl_name)

Exemplo n.º 3

Arquivo: temp_sleep.py Projeto: jin-park-dev/SelfData

import Report.util_daily_report as util

date_name = 'Date'

"""
# start_date = '2014-08-02'
# end_date = '2017-08-23'

start_date = '2017-01-01'
end_date = '2017-08-23'

tbl_name = 'sleep'
y_axis = 'total_hours'

df = util.df_with_query(tbl_name, date_name, start_date, end_date)
util.plot_monthly(df[date_name], df[y_axis], tbl_name, start_date, end_date)
"""

#
# start_date = '2017-04-11'
# end_date = '2017-08-24'
#
# tbl_name = 'pomo_excel_daily'
# y_axis = 'pomo_total'
#
# df = util.df_with_query(tbl_name, date_name, start_date, end_date)
# util.plot_monthly(df[date_name], df[y_axis], tbl_name, start_date, end_date)
#
#

Exemplo n.º 4

# end_date = '2017-01-31'

start_date = '2017-02-01'
end_date = '2017-02-28'

# start_date = '2017-03-01'
# end_date = '2017-03-31'

# start_date = '2017-04-01'
# end_date = '2017-04-30'

tbl_name = 'weather_daily'
y_axis = 'Temp_mean'

df = util.df_with_query(tbl_name, date_name, start_date, end_date)
util.plot_monthly(df[date_name], df[y_axis], tbl_name, start_date, end_date)

tbl_name = 'google_fit'
y_axis = 'Step count'

df = util.df_with_query(tbl_name, date_name, start_date, end_date)
util.plot_monthly(df[date_name],
                  df[y_axis],
                  tbl_name,
                  start_date,
                  end_date,
                  style='seaborn-darkgrid')

tbl_name = 'mood'
y_axis = 'mood'