![]() ![]() On the other hand, matplotlib and seaborn charts are static, we can’t zoom in or zoom-out, it does not provide detail of every value on the chart. Plotly charts are dynamic in nature, it allows us to hover over the values, zoom in zoom out of graphs, identifies outliers in the dataset. The library is available for several programming languages such as Python, R, MATLAB, Arduino, and REST, among others.Ĭufflink is also a python library that connects plotly with pandas so that we can create charts directly on data frames. Plotly is an open-source and charting library that provides the facility of interactive plotting. However, when I read about them and used them in my projects then it had completely blown my mind, the power these libraries provide in your hand is amazing. Now, you must have a question if we already have matplotlib and seaborn, then why we need other libraries for data visualization? This is the same question that arrived in my mind when I first heard about plotly and cufflinks. These libraries provide features using which we can draw line charts, pie charts, bar plots, box plots, and many more plots. Generally, we are taught about only these two libraries matplotlib and seaborn. Python provides several libraries for this purpose. In the process of data analysis, after completing data cleaning and data manipulation, the next step is to bring meaningful insights and conclusions from the data which can be achieved through graphs and charts. Source: Google Images Data Visualization in Python
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |