How can one make a dictionary with duplicate keys in Python?

Python dictionaries don’t support duplicate keys. One way around is to store lists or sets inside the dictionary. One easy way to achieve this is by using defaultdict: from collections import defaultdict data_dict = defaultdict(list) All you have to do is replace data_dict[regNumber] = details with data_dict[regNumber].append(details) and you’ll get a dictionary of lists.

TypeError: ‘int’ object is not subscriptable – Trying To Create A Graph

This is creating a single integer that’s the concatenation of all the numbers in CaseNumberList, not a list of integers: IntCaseNumberList = int(“”.join(str(i) for i in CaseNumberList)) So when you try to ue IntCaseNumberList[i], it doesn’t work because it’s a number, not a list. To create a list of integers, you need to call int() … Read more

struggling in calling multiple interactive functions for a graph using ipywidgets

There are several ways to approach controlling a matplotlib plot using ipywidgets. Below I’ve created the output I think you’re looking for using each of the options. The methods are listed in what feels like the natural order of discovery, however, I would recommend trying them in this order: 4, 2, 1, 3 Approach 1 … Read more

I want to plot changes in monthly values from dataset spanning over few years with matplot.pylib, pandas

It is much easier if you split Year/month columns to separate series for each year import pandas as pd import matplotlib.pyplot as plt fig, axes = plt.subplots(figsize=(6,4)) df = pd.read_csv(“data.csv”) df2 = pd.pivot_table(df, index=”Month”, columns=[“Year”]) df2 = df2.reindex([‘January’, ‘February’, ‘March’, ‘April’, ‘May’, ‘July’, ‘August’, ‘September’, ‘October’, ‘November’, ‘December’]) df2.plot(ax=axes) fig.savefig(“plot.png”)