Python load_requestsの例

コード例 #1

ファイル: response_times_all_en.py プロジェクト: awakenting/fds-statistics

import loading

plt.style.use('ggplot')
# for matplotlib versions below 1.5:
#mpl.rcParams['axes.color_cycle'] = ['#5DBA42', '#42BAB2', '#E24A33',
#                                    '#777777', '#348ABD', '#FBC15E', '#E27533']
mpl.rcParams['axes.prop_cycle'] = cycler('color',['#5DBA42', '#42BAB2', '#E24A33',
                                    '#777777', '#348ABD', '#FBC15E', '#E27533'])

mpl.rcParams['font.size'] = 28
mpl.rcParams['axes.facecolor'] = 'white'

files_path = './data/'
figures_path = './figures/'
#%% load data from files
df_requests = loading.load_requests()

df_messages = loading.load_messages()

#%% create filters for dataframe
is_unique = df_requests['same_as'].isnull()
is_complete = (df_requests['status']=='asleep') | \
               (~(df_requests['resolution']==''))



def compute_response_time(msg_group):
    first_msg = pd.to_datetime(msg_group.iloc[0]['timestamp'])
    resolved_list = ['resolved', 'refused', 'successful',
       'not_held', 'partially_successful', 'request_redirected',
       'user_withdrew_costs', 'user_withdrew']

コード例 #2

ファイル: fds_api_stats_with_pandas.py プロジェクト: awakenting/fds-statistics

from pandas import ExcelWriter
from fds_api_pandas_functions import *
import loading

plt.style.use('ggplot')
#mpl.rcParams['axes.color_cycle'] = ['#5DBA42', '#42BAB2', '#E24A33',
#                                    '#777777', '#348ABD', '#FBC15E', '#E27533']
mpl.rcParams['axes.prop_cycle'] = cycler('color',['#5DBA42', '#42BAB2', '#E24A33',
                                    '#777777', '#348ABD', '#FBC15E', '#E27533'])
mpl.rcParams['font.size'] = 20
mpl.rcParams['axes.facecolor'] = 'white'



#%% load data from files
dataframe = loading.load_requests()

#%% create filters for dataframe
is_unique = dataframe['same_as'].isnull()
is_complete = (dataframe['status']=='asleep') | \
                         (~(dataframe['resolution']==''))
is_highrank = dataframe['juris_rank'] < 3
is_highbody = dataframe['pbody_class'] == 'Oberste Bundesbehörde'
whout_potsdam = ~(dataframe['public_body'] == 'Stadtverwaltung Potsdam')
is_chancellor = dataframe['public_body'] == 'Bundeskanzleramt'
            
#%% create different dataframes
            
# all completed requests
df_uniq = dataframe[is_unique & is_complete]
df_nonuniq = dataframe[is_complete]

コード例 #3

ファイル: total_outcomes.py プロジェクト: awakenting/fds-statistics

import numpy as np
import pandas as pd
from pandas import ExcelWriter
from fds_api_pandas_functions_en import *
import loading

plt.style.use('ggplot')
#mpl.rcParams['axes.color_cycle'] = ['#5DBA42', '#42BAB2', '#E24A33',
#                                    '#777777', '#348ABD', '#FBC15E', '#E27533']
mpl.rcParams['axes.prop_cycle'] = cycler('color',['#5DBA42', '#42BAB2', '#E24A33',
                                    '#777777', '#348ABD', '#FBC15E', '#E27533'])
mpl.rcParams['font.size'] = 32
mpl.rcParams['axes.facecolor'] = 'white'

#%% load data from files
dataframe = loading.load_requests(translate_to_german=False)

#%% create filters for dataframe
is_unique = dataframe['same_as'].isnull()
is_complete = (dataframe['status']=='asleep') | \
                         (~(dataframe['resolution']==''))
is_highrank = dataframe['juris_rank'] < 3
is_highbody = dataframe['pbody_class'] == 'Oberste Bundesbehörde'
whout_potsdam = ~(dataframe['public_body'] == 'Stadtverwaltung Potsdam')
is_chancellor = dataframe['public_body'] == 'Bundeskanzleramt'
            
#%% create different dataframes
            
# all completed requests
df_uniq = dataframe[is_unique & is_complete]
df_nonuniq = dataframe[is_complete]