The following script
import numpy as np` import plotly.plotly as py import plotly.graph_objs as go from plotly.graph_objs import * from plotly.offline import download_plotlyjs, init_notebook_mode, iplot init_notebook_mode(connected = True) rand = np.random.randn(100) trace = go.Histogram(name = "distance of overpass from Rome's station", x = rand, autobinx = False, xbins = dict(start = 0.1, size = 10, end = rand.max()) ) data = [trace] fig = go.Figure(data = data) iplot(fig)
is running in Jupyter notebook with Python 3 kernel.
The problem is that whatever is the the change in the attributes of nbins
(start, size, end) the histogram’s bins don’t cange in the plot.
I wrote this script as an example, so I did it for Python’s Plotly, but I’d actually like to perform a histogram for pandas module that is with the use of dataframe’s column as x variable.