![]() ![]() ![]() ![]() The data above is an example of properly formatted data to create bar chart races. 'North America', 'Oceania', 'South America'], axis = 1) Next, we’ll delete commas, convert integers to numeric type, transpose the table, and drop columns we don’t need:ĭata.replace(',','', regex=True, inplace=True)ĭata = data.apply(pd.to_numeric, errors='coerce', axis=1)ĭata = data.drop(['Other', 'Unknown', 'Total', 'Africa', 'Asia', 'Europe', ![]() Infer_datetime_format=1, parse_dates=True) The code below would read the file, determine which values to read as NaN, and parse dates: For this, we’ll use Kaggle’s “Refugees in the United States, 2006–2015” dataset, namely the refugee_status.csv file.įrom now on, we’ll be working in a Jupyter Notebook.įirst, import all the necessary libraries: We’ll generate our bar chart race from a CSV file. After installing, you may need to restart your computer. If, while installing FFmpeg, the system requires the vulkan-1.dll file, you can download it, rename it to vulkan-1.dll, put it into your C:\Windows\System32 folder (or the like), and run the C:\ffmpeg\bin\ffmpeg.exe -codecs command again. Pip install numpy scipy matplotlib ipython jupyter pandas sympy noseĪnd here’s the command to install Bar Chart Race with pip:Ĭonda install -c conda-forge bar_chart_raceįinally, download FFmpeg and install it using an instruction manual. To install Pandas, Matplotlib, and Jupyter Notebook, you’ll need to install recommended Scientific Python Distributions. You can download the latest version of Python for Windows on the official website. FFmpeg: a tool to generate a video file with the animated chart.Jupyter Notebook: an online editor for data visualization.Bar Chart Race: a library to create bar chart races with Matplotlib.Pandas: a library to prepare data for plotting.pip: package management system (it comes with Python) (alternatively, you can use Conda).See the final bar chart race video in a new window. To create a chart of this type, you usually need a dataset that includes dates, categories (like countries, names, titles, etc.), and numeric values. An animated bar chart race helps visualize the change in trends over time. ![]()
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