Project | Weather Data Analysis | Analysis With Pandas | Python Programming

Опубликовано: 04 Июнь 2021
на канале: Anybody Can Code

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In this tutorial we will study the following

The Weather Dataset is a time-series data set with per-hour information about the weather conditions at a particular location. It records Temperature, Dew Point Temperature, Relative Humidity, Wind Speed, Visibility, Pressure, and Conditions.

This data is available as a CSV file. We are going to analyze this data set using the Pandas DataFrame.

Provides basic information about the dataframe: rows, columns, types (if automatically detected)
Shows the first N rows in the data (by default, N=5)
Find out different weather conditions available
Find the number of times when the weather was exactly 'Clear'
Find all the unique Wind Speed values recorded in the dataset
Find the number of times when the wind speed was exactly 7 km/h
Get the Weather and Temperature columns from the dataframe
Get the first 20 rows from the dataframe
What were the first 5 pressure values recorded on Jan 6
Find all instances when wind speed was above 30 and visibility was 25
Which were the top 10 hottest temp values and their counts?
What is the mean temperature recorded by month?
Extract month name from the date and store in new column named as month
Get the list of months in which it rained with thunderstorm

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In this tutorial we will study
1) Data visualization
2) What is Data visualization and how we perform it with python library.
3) Use of matplotlib for data visualization.
4) How to install the matplotlib for data visualization.
5) What is pyplot in matplotlib
6) How we use %matplotlin inline
7) Data plotting using python
8) Sample plotting for car data
9) What is the histogram diagram
10) What is stackplot and how to create in matplotlib
11) Pie chart using matplotlib
12) use of autopact and explode in matplotlib
13) How to change color in matplotlib
14) Use of legend() in matplotlib

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