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SKU | SKU Code | Arrow | Zone | Cell | Loc | Location | log | arrow | cat | special | |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 6549541941942 | 8 | 067 | 49 | 1 | 067-49-1 | Pieces | Arrow Red | Dress | GOH | |
2 | 6388908160619 | 1 | 064 | 13 | 2 | 064-13-2 | Carton | Arrow Red Rev | Tie | RFID | |
3 | 6035901125615 | 5 | 062 | 12 | 9 | 062-12-9 | Carton | Arrow Red Rev | Shoes Lady | Label | |
4 | 6380994358294 | 3 | 058 | 79 | 5 | 058-79-5 | Carton | Arrow Green Rev | Jewelry | Danger | |
5 | 7056603542859 | 2 | 055 | 76 | 8 | 055-76-8 | Pieces | Arrow Green | Jewelry | Sprinkler |
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# Bar Plot: split per lines per orders | |
fig, ax = plt.subplots(figsize=(12, 6)) | |
df_lior.plot.bar(figsize=(10, 6), edgecolor='black', x='WEEK', y=COLS_IN[0], color='tab:blue', legend= True, ax = ax) | |
df_lior.plot.bar(figsize=(10, 6), edgecolor='black', x='WEEK', y=COLS_IN[1], color='tab:red', legend= True, ax = ax) | |
df_lior.plot.bar(figsize=(10, 6), edgecolor='black', x='WEEK', y=COLS_IN[2], color='tab:orange', legend= True, ax = ax) | |
df_lior.plot.bar(figsize=(10, 6), edgecolor='black', x='WEEK', y=COLS_IN[3], color='darkblue', legend= True, ax = ax) | |
df_lior.plot.bar(figsize=(10, 6), edgecolor='black', x='WEEK', y=COLS_IN[4], color='brown', legend= True, ax = ax) | |
df_lior.plot.bar(figsize=(10, 6), edgecolor='black', x='WEEK', y=COLS_IN[5], color='grey', legend= True, ax = ax) | |
plt.xlabel('Week', fontsize = 14) | |
plt.ylabel('Number of Orders', fontsize = 14) |
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# Add Analysis lines | |
total_orders, LIST_ANALYSIS = plot_split(df_lior) | |
# Create a slide | |
slide = prs.slides.add_slide(image_slide_layout) | |
shapes = slide.shapes | |
# Create Title | |
title_shape = shapes.title | |
title_shape.text = 'Order Profile' | |
# Add Image |
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'''Slides Analysis per Week''' | |
for WEEK in LIST_WEEKS: | |
# Create Plot | |
avg_ratio, max_ratio, busy_day, max_lines, total_lines = analysis_week(df_day, WEEK) | |
# Create a slide | |
slide = prs.slides.add_slide(image_slide_layout) | |
shapes = slide.shapes | |
# Create Title |
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# Create the presentation object | |
prs = Presentation() | |
# Layout Choice for the introduction slide | |
image_slide_layout = prs.slide_layouts[5] | |
page = 1 | |
'''Slide Introduction''' | |
# Create the slide | |
title_slide_layout = prs.slide_layouts[0] |
We can make this file beautiful and searchable if this error is corrected: It looks like row 3 should actually have 30 columns, instead of 8. in line 2.
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Order Time,Order Date,City,Store,#Shipment,Order Amount,Transmission OnTime,Transmission,Start PickPack,Pickpack,Loading,Expected Loading Date,Loading OnTime,Loading Date,Airport Arrival,Airport OnTime,Airport Arrival Date,Takeoff,Landing,Landing Date,Landing OnTime,Start Clearance,End Clearance,Leaving Airport,Store Arrival,Store Arrival Date,Delivery OnTime,Delivery Time,Extraction Time,Last Status | |
2021-05-02 17:00:00.000000,2021-05-02,CITY1,CITY1/ST8,2021-05-02/CITY1/ST8/1,9538,False,2021-05-03 17:00:00.000000,2021-05-04 07:00:00.000000,2021-05-04 15:08:01.811817,2021-05-04 19:00:00.000000,2021-05-04,True,2021-05-04,2021-05-04 22:28:26.955442,True,2021-05-04,2021-05-05 06:00:00.000000,2021-05-05 18:45:10.610100,2021-05-05,True,2021-05-06 09:00:00.000000,2021-05-06 11:14:17.533875,2021-05-06 12:07:20.920092,2021-05-06 17:01:17.840106,2021-05-06,False,2021-05-07 16:30:00.000000,2021-05-11 10:00:00,Delivery Time | |
2021-05-09 12:00:00.000000,2021-05-09,CITY2,CITY2/ST9,2021-05-09/CITY2/ST9/2,5735,True,2021-05-09 |
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from gtts import gTTS | |
import pandas as pd | |
import xlrd | |
def do_TTS(hanzi): | |
tts = gTTS(text=hanzi, lang='zh-CN') | |
# Filename | |
filename = hanzi[0:10] + '.mp3' | |
# Save | |
tts.save(filename) |
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import pandas as pd | |
import jieba, itertools | |
def to_pinyin(sentence): | |
segments = jieba.cut(sentence) | |
output = " ".join(segments) | |
pinyined = pinyin(output) | |
combined = list(itertools.chain.from_iterable(pinyined)) | |
return ''.join(combined) | |
# Import |
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import PyPDF2 | |
# Open the report | |
pdfFileObj = open('example.pdf', 'rb') | |
# Launch pdf reader object | |
pdfReader = PyPDF2.PdfFileReader(pdfFileObj) | |
# number of pages in pdf | |
n_pages = pdfReader.numPages) |
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import win32com.client | |
import os | |
from datetime import datetime, timedelta | |
# Initiate the Outlook Session | |
outlook = win32com.client.Dispatch('outlook.application') | |
mapi = outlook.GetNamespace("MAPI") | |
# Select the folder 6 to get the emails | |
inbox = mapi.GetDefaultFolder(6) |