Every Plotly Express function can operate on long-form data (other than px.imshow which operates only on wide-form input), and in addition, the following 2D-Cartesian functions can operate on wide-form and mixed-form data: px.scatter, px.line, px.area, px.bar, px.histogram, px.violin, px.box, px.strip, px.funnel, px.density_heatmap and px.density_contour. Submodules¶. Plotly Express: high-level interface for data visualization. Graph Objects: low-level interface to figures, traces and layout. Subplots: helper function for layout out multi-plot figures

with pure plotly, this is the way, copied from the documentation: import plotly.graph_objects as go import numpy as np x0 = np.random.randn(500) # Add 1 to shift the mean of the Gaussian distribution x1 = np.random.randn(500) + 1 fig = go.Figure() fig.add_trace(go.Histogram(x=x0)) fig.add_trace(go.Histogram(x=x1)) # Overlay both histograms fig ... With Plotly Express we can create an interactive histogram. We can see the bin range by the x-axis, the total_bill value, and the count at each point when hovering the cursor. Let’s level up our histograms by considering a second variable, sex: fig = px.histogram (tips, #dataframe

2 days ago · This plot adds a histogram to the density plot, but without needlessly displaying the vertical histogram lines as well. The description of the talk was, "You start the morning exploring some data in a Jupyter notebook with Plotly Express and after lunch you whip up a web application to give your non-programmer colleagues access to those same.

plotly.graph_objects: low-level interface to figures, traces and layout; plotly.subplots: helper function for laying out multi-plot figures; plotly.figure_factory: helper methods for building specific complex charts; plotly.io: low-level interface for displaying, reading and writing figures; Page . plotly.express.histogram « plotly.express.strip

with pure plotly, this is the way, copied from the documentation: import plotly.graph_objects as go import numpy as np x0 = np.random.randn(500) # Add 1 to shift the mean of the Gaussian distribution x1 = np.random.randn(500) + 1 fig = go.Figure() fig.add_trace(go.Histogram(x=x0)) fig.add_trace(go.Histogram(x=x1)) # Overlay both histograms fig ... plotly.graph_objects: low-level interface to figures, traces and layout; plotly.subplots: helper function for laying out multi-plot figures; plotly.figure_factory: helper methods for building specific complex charts; plotly.io: low-level interface for displaying, reading and writing figures; Page . plotly.express.histogram « plotly.express.strip