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Data visualization

conda install -c conda-forge matplotlib
Collecting package metadata (current_repodata.json): ...working... done Solving environment: ...working... done ## Package Plan ## environment location: C:\Users\Akhil\anaconda3 added / updated specs: - matplotlib The following packages will be downloaded: package | build ---------------------------|----------------- conda-4.10.1 | py38haa244fe_0 3.1 MB conda-forge python_abi-3.8 | 1_cp38 4 KB conda-forge ------------------------------------------------------------ Total: 3.1 MB The following NEW packages will be INSTALLED: python_abi conda-forge/win-64::python_abi-3.8-1_cp38 The following packages will be SUPERSEDED by a higher-priority channel: conda pkgs/main::conda-4.10.1-py38haa95532_1 --> conda-forge::conda-4.10.1-py38haa244fe_0 Downloading and Extracting Packages conda-4.10.1 | 3.1 MB | | 0% conda-4.10.1 | 3.1 MB | | 1% conda-4.10.1 | 3.1 MB | ########## | 100% conda-4.10.1 | 3.1 MB | ########## | 100% python_abi-3.8 | 4 KB | | 0% python_abi-3.8 | 4 KB | ########## | 100% Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done Note: you may need to restart the kernel to use updated packages.
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline 

We start off with line chart

Line chart arethe simplest ways to visuakize data

yield_apples = [0.895,0.91,0.919,0.926,0.929,0.931]