From bfe18dad970ac55a75b1427a93a9b006d59fd8cd Mon Sep 17 00:00:00 2001 From: kawal Date: Mon, 7 Oct 2019 22:51:43 +0530 Subject: [PATCH 1/2] hackPR --- days.py | 4 +++- months.py | 4 +++- years.py | 4 +++- 3 files changed, 9 insertions(+), 3 deletions(-) diff --git a/days.py b/days.py index 222a79d..3196306 100644 --- a/days.py +++ b/days.py @@ -1,3 +1,5 @@ +#days plot + import pandas as pd import matplotlib.pyplot as plt #import numpy as np @@ -112,4 +114,4 @@ def isnumberr(numb): # naming the y axis plt.ylabel(query[str(option)]) plt.show() - \ No newline at end of file + diff --git a/months.py b/months.py index 271434b..a11e0c5 100644 --- a/months.py +++ b/months.py @@ -1,3 +1,5 @@ + +#months plot import pandas as pd import matplotlib.pyplot as plt import joblib @@ -133,4 +135,4 @@ def isnumberr(numb): plt.xlabel('Month') # naming the y axis plt.ylabel(query[str(option)]) -plt.show() \ No newline at end of file +plt.show() diff --git a/years.py b/years.py index 4199208..b888686 100644 --- a/years.py +++ b/years.py @@ -1,3 +1,5 @@ +#years plot + import pandas as pd import matplotlib.pyplot as plt import joblib @@ -167,4 +169,4 @@ def isnumberr(numb): # naming the y axis plt.ylabel(query[str(option)]) -plt.show() \ No newline at end of file +plt.show() From 79d663a4a23681a20ebb1ebcdbfb4fab5a54e511 Mon Sep 17 00:00:00 2001 From: pravleenkaur Date: Thu, 8 Oct 2020 22:01:02 +0530 Subject: [PATCH 2/2] pr --- README.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/README.md b/README.md index 735e5a6..2dbb990 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,6 @@ research team. Major libraries used are : OS - The OS module in python provides functions for interacting with the operating system. OS, comes under Python’s standard utility modules. This module provides a portable way of using operating system dependent functionality. The *os* and *os.path* modules include many functions to interact with the file system. -PADAS - Pandas is the most popular python library that is used for data analysis. It provides highly optimized performance -with back-end source code is purely written in C or Python. +PANDAS - Pandas is the most popular python library that is used for data analysis. It provides highly optimized performance with back-end source code is purely written in C or Python. MATPLOTLIB - Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack.