Data Science

8 Subplot Plot a Sub Plot in Matplotlib¶With the subplots() function you can draw multiple plots in one figure: The subplots() function takes three arguments that describes the layout of the figure. The layout is organized in rows and columns, which are represented by the first and second argument. The …

7 Histogram Plot a Histogram Plot using Matplotlib¶A histogram is a graphical representation of a set of data points arranged in a user-defined range. Similar to a bar chart, a bar chart compresses a series of data into easy-to-interpret visual objects by grouping multiple data points into logical areas or …

6 Stack Plot Plot a Stack Plot using Matplotlib¶Stack Plots are used to visualize multiple linear plots, stacked on top of each other. With a regular line plot, you’d plot the relationship between X and Y. Here, we’re plotting multiple Y features on a shared X-axis, one on top of …

5. Scatter Plot Plot Scatter Plot Using Matplotlib¶With Pyplot, you can use the scatter() function to draw a scatter plot. The scatter() function plots one dot for each observation. It needs two arrays of the same length, one for the values of the x-axis, and one for values on the …

4. Pie Plot Plot a Pie Chart using Matplotlib¶Pie charts represent data broken down into categories/labels. They’re an intuitive and simple way to visualize proportional data – such as percentages. To plot a pie chart in Matplotlib, we can call the pie() function of the PyPlot or Axes instance. The …

2. Line Plot Plot a Line Plot Using Matplotlib¶To plot a line plot in Matplotlib, you use the generic plot() function from the PyPlot instance. There’s no specific lineplot() function – the generic one automatically plots using lines or markers. In [2]: import matplotlib.pyplot as plt X = [2,4,6,8,10] Y = …

3 Bar Plot Plot a Bar Plot Using Matplotlib¶Plotting a Bar Plot in Matplotlib is as easy as calling the bar() function on the PyPlot instance, and passing in the categorical and numerical variables that we’d like to visualize. In [2]: import matplotlib.pyplot as plt x = ['A', 'B', 'C'] y …

1. Introduction to Matplotlib What Is Python Matplotlib?¶ Matplotlib is a low level graph plotting library in python that serves as a visualization utility. Matplotlib was created by John D. Hunter. Matplotlib is open source and we can use it freely. Matplotlib is mostly written in python, a few segments …

13 Suicide Case Study – Numpy Import Libraries¶ In [2]: import numpy as np Read CSV¶ In [3]: data = np.genfromtxt('Suicidesindia2001-2012.csv',delimiter=',',dtype=str) data Out[3]: array([['State', 'Year', 'Type_code', ..., 'Gender', 'Age_group', 'Total'], ['A & N Islands', '2001', 'Causes', ..., 'Female', '0-14', '0'], ['A & N Islands', '2001', 'Causes', ..., 'Female', '0-14', '0'], ..., ['West …

11 – Set Operations Numpy Set Operations¶ In [1]: import numpy as np select the unique elements from an array¶ In [2]: arr = np.array([1,1,2,2,3,3,4,5,6]) print(np.unique(arr)) [1 2 3 4 5 6] In [3]: # return the number of times each unique item appears arr = np.array([1,1,2,2,3,3,4,5,6]) uniques, counts = np.unique(arr, return_counts=True) print(uniques) …