import os import matplotlib.pyplot as plt import matplotlib as mpl import numpy as np import pandas as pd 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['font.size'] = 16 mpl.rcParams['axes.facecolor'] = 'white' #%% build dict that translates from url to actual name of jurisdiction dataframe = loading.load_messages() #%% filters has_attachment = dataframe['attachments'].str.len() > 0 nr_pdfs = dataframe['attachments'].str.len().sum()
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'] is_resolved = msg_group['status'].isin(resolved_list) resolved_msgs = msg_group[is_resolved]