jlifferth

from kivy.garden.matplotlib.backend_kivyagg import FigureCanvasKivyAgg
from kivy.app import App
from kivy.uix.boxlayout import BoxLayout
import matplotlib.pyplot as plt

plt.plot([1, 23, 2, 4])
plt.ylabel('some numbers')

class MyApp(App):

jlifferth

import matplotlib.pyplot as plt
import pandas as pd
# import numpy as np
from matplotlib import dates as mpl_dates
import seaborn as sns


# playground
# consistently toggle between metrics graphed

jlifferth

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from matplotlib import dates as mpl_dates


# objectives
# remove test accounts (succeeded)
# process raw/ untreated csv from apollo (succeeded)
# allow filter for metric (in progress)

jlifferth

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

# objectives
# present results by client (successfully added feature)
# enable input to determine which graph(s) are created
# THIS VERSION IS FUNCTIONING
# this version does NOT allow metric selection - only shows 'number of samples'

jlifferth

# README: this version of the main working script will accept .csv files instead of .xlsx files.
# this version will also accept "Inconclusive" results (previous versions did not)

import csv
import openpyxl
import pandas as pd
import datetime
import sqlite3
import os
import sqlite_practice

jlifferth

import os
import csv

file_names = []

for root, dirs, files in os.walk(r'J:\Python\other'):
    for file in files:
        if file.endswith('.csv'):
            file_names.append(os.path.join(root,file))
            print(os.path.join(root,file))

jlifferth

# README: this version of the main working script will accept .csv files instead of .xlsx files.
# this version will also accept "Inconclusive" results (previous versions did not)

import csv
import openpyxl
import pandas as pd
import datetime
import sqlite3

import sqlite_practice